EMNLP 2022 | 主会长文论文分类整理

导读

EMNLP 2022（The 2022 Conference on Empirical Methods in Naturel Language Processing）是自然语言处理领域的顶级国际会议，由国际语言学会SIGDA小组在世界范围内每年召开一次，计划于2022年12月7日-12月11日以线上线下混合方式在阿联酋阿布扎比举行。EMNLP是CCF推荐的B类国际学术会议，在自然语言处理领域享有很高的学术声誉。本次会议主会共录取长文714篇（其中162篇oral），短文113篇（其中11篇oral）；子刊Findings录取长文453篇，短文94篇；还有8篇需要通过道德审查后接收。由于篇幅原因，我们选择了主会的714篇长文进行了分类，其余可以参见如下链接：

https://2022.emnlp.org

从词云图看今年EMNLP的研究热点：根据长文的标题绘制如下词云图，可以看到今年研究方向主要集中在 Generation、Knowledge、Reasoning 等方向。

Commonsense Reasoning【常识推理】
Computational Social Science and Cultural Analytics【计算社会科学和文化分析】
Dialogue and Interactive Systems【对话和交互系统】
Discourse and Pragmatics【语用学】
Efficient Methods for NLP【自然语言处理的高效方法】
Ethics【伦理】
Information Extraction【信息抽取】
Information Retrieval and Text Mining【信息检索与文本挖掘】
Interpretability, Interactivity and Analysis of Models for NLP【自然语言处理模型的可解释性、交互与分析】
Language Modeling and Analysis of Language Models【语言建模与语言模型分析】
Linguistic Theories, Cognitive Modeling and Psycholinguistics【语言学理论、认知模型与心理语言学】
Machine Learning for NLP【机器学习与自然语言处理】
Machine Translation【机器翻译】
Multilinguality【多语言】
Natural Language Generation【自然语言生成】
NLP Applications【自然语言处理应用】
Phonology, Morphology and Word Segmentation【音韵、词法和分词】
Question Answering【问答系统】
Resources and Evaluation【资源和评测】
Semantics: Lexical, Sentence level, Textual Inference and Other areas【语义学：单词、句子层次、文本推理和其他领域】
Sentiment Analysis, Stylistic Analysis, and Argument Mining【情感分析、文体分析和论点挖掘】
Speech, Vision, Robotics, Multimodal Grounding【语音、视觉、机器人、多模态】
Summarization【文本摘要】
Syntax, Parsing and their Applications【语法、句法及其应用】
Theme Track【主题追踪】
Unsupervised and Weakly-Supervised Methods in NLP【自然语言处理中的无监督和弱监督方法】

1. Commonsense Reasoning【常识推理】

Identifying Physical Object Use in Sentences
A Systematic Investigation of Commonsense Knowledge in Large Language Models
Metric-guided Distillation: Distilling Knowledge from the Metric to Ranker
and Retriever for Generative Commonsense Reasoning
Using Commonsense Knowledge to Answer Why-Questions
Maieutic Prompting: Logically Consistent Reasoning with Recursive
Explanations
Language Models of Code are Few-Shot Commonsense Learners
Enhancing Self-Consistency and Performance of Pre-Trained Language
Models through Natural Language Inference
EvEntS ReaLM: Event Reasoning of Entity States via Language Models
GeoMLAMA: Geo-Diverse Commonsense Probing on Multilingual Pre
Trained Language Models
Memory-assisted prompt editing to improve GPT-3 after deployment
Retrieval Augmentation for Commonsense Reasoning: A Unified Approach
ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent
Neural Networks
Graph Hawkes Transformer for Extrapolated Reasoning on Temporal Know
edge Graphs
A Sequential Flow Control Framework for Multi-hop Knowledge Base Que
tion Answering
ACENet: Attention Guided Commonsense Reasoning on Hybrid Knowledge
Graph
TranSHER: Translating Knowledge Graph Embedding with Hyper-Ellipsoidal
Restriction
Rainier: Reinforced Knowledge Introspector for Commonsense Question
Answering
Understanding ME? Multimodal Evaluation for Fine-grained Visual Commonsense

2. Computational Social Science and Cultural Analytics【计算社会科学和文化分析】

Offer a Different Perspective: Modeling the Belief Alignment of Arguments in Multi-party Debates
Prompting for Multimodal Hateful Meme Classification
Affective Idiosyncratic Responses to Music
Modeling Information Change in Science Communication with Semantically Matched Paraphrases
Discovering Differences in the Representation of People using Contextualized Semantic Axes
How to disagree well: Investigating the dispute tactics used on Wikipedia
Borrowing Human Senses: Comment-Aware Self-Training for Social Media Multimodal Classification
Unifying Data Perspectivism and Personalization: An Application to Social Norms
Empowering the Fact-checkers! Automatic Identification of Claim Spans on Twitter
Sequence Models for Document Structure Identification in an Undeciphered Script
Distilling Context for Toxicity Detection via Information Bottleneck
Sentence-level Media Bias Analysis Informed by Discourse Structures

3. Dialogue and Interactive Systems【对话和交互系统】

Navigating Connected Memories with a Task-oriented Dialog System
FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue
IM^2: an Interpretable and Multi-category Integrated Metric Framework for Automatic Dialogue Evaluation
Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue
End-to-End Neural Discourse Deixis Resolution in Dialogue
CDialog: A Multi-turn Covid-19 Conversation Dataset for Entity-Aware Dialog Generation
When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systems
Injecting Domain Knowledge in Language Models for Task-oriented Dialogue Systems
DialogConv: A Lightweight Fully Convolutional Network for Multi-view Response Selection
CDConv: A Benchmark for Contradiction Detection in Chinese Conversations
Co-guiding Net: Achieving Mutual Guidances between Multiple Intent Detection and Slot Filling via Heterogeneous Semantics-Label Graphs
Estimating Soft Labels for Out-of-Domain Intent Detection
InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning
Aligning Recommendation and Conversation via Dual Imitation
Correctable-DST: Mitigating Historical Context Mismatch between Training and Inference for Improved Dialogue State Tracking
MetaASSIST: Robust Dialogue State Tracking with Meta Learning
Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery
Counterfactual Data Augmentation via Perspective Transition for Open-Domain Dialogues
There Is No Standard Answer: Knowledge-Grounded Dialogue Generation with Adversarial Activated Multi-Reference Learning
Back to the Future: Bidirectional Information Decoupling Network for Multi-turn Dialogue Modeling
Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning
Robots-Dont-Cry: Understanding Falsely Anthropomorphic Utterances in Dialog Systems
FineD-Eval: Fine-grained Automatic Dialogue-Level Evaluation
Group is better than individual: Exploiting Label Topologies and Label Relations for Joint Multiple Intent Detection and Slot Filling
ProsocialDialog: A Prosocial Backbone for Conversational Agents
CGoDial: A Large-Scale Benchmark for Chinese Goal-oriented Dialog Evaluation
Information-Theoretic Text Hallucination Reduction for Video-grounded Dialogue
STRUDEL: Structured Dialogue Summarization for Dialogue Comprehension
BotsTalk: Machine-sourced Framework for Automatic Curation of Large-scale Multi-skill Dialogue Datasets
Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversation
META-GUI: Towards Multi-modal Conversational Agents on Mobile GUI
Q-TOD: A Query-driven Task-oriented Dialogue System
dial2vec: Self-Guided Contrastive Learning of Unsupervised Dialogue Embeddings
Multi-Label Intent Detection via Contrastive Task Specialization of Sentence Encoders
Enhancing Joint Multiple Intent Detection and Slot Filling with Global Intent-Slot Co-occurrence
IRRGN: An Implicit Relational Reasoning Graph Network for Multi-turn Response Selection
Dungeons and Dragons as a Dialog Challenge for Artificial Intelligence
CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning
Towards Efficient Dialogue Pre-training with Transferable and Interpretable Latent Structure
"Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality"
FlowEval: A Consensus-Based Dialogue Evaluation Framework Using Segment Act Flows
Eliciting Knowledge from Large Pre-Trained Models for Unsupervised Knowledge-Grounded Conversation
Structural Constraints and Natural Language Inference for End-to-End Flowchart Grounded Dialog Response Generation

4. Discourse and Pragmatics【语用学】

Discourse Comprehension: A Question Answering Framework to Represent Sentence Connections
Sentence-Incremental Neural Coreference Resolution
Concadia: Towards Image-Based Text Generation with a Purpose
"An Unsupervised, Geometric and Syntax-aware Quantification of Polysemy"
Facilitating Contrastive Learning of Discourse Relational Senses by Exploiting the Hierarchy of Sense Relations

5. Efficient Methods for NLP【自然语言处理的高效方法】

Training Dynamics for Curriculum Learning: A Study on Monolingual and Cross-lingual NLU
Model Cascading: Towards Jointly Improving Efficiency and Accuracy of NLP Systems
"LightEA: A Scalable, Robust, and Interpretable Entity Alignment Framework via Three-view Label Propagation"
VIRT: Improving Representation-based Text Matching via Virtual Interaction
Learning Label Modular Prompts for Text Classification in the Wild
COST-EFF: Collaborative Optimization of Spatial and Temporal Efficiency with Slenderized Multi-exit Language Models
Neural-based Mixture Probabilistic Query Embedding for Answering FOL queries on Knowledge Graphs
Sparse Teachers Can Be Dense with Knowledge
The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models
An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks
LittleBird: Efficient Faster & Longer Transformer for Question Answering
Understanding and Improving Knowledge Distillation for Quantization Aware Training of Large Transformer Encoders
Vector-Quantized Input-Contextualized Soft Prompts for Natural Language Understanding
Tutoring Helps Students Learn Better: Improving Knowledge Distillation for BERT with Tutor Network
Efficient Pre-training of Masked Language Model via Concept-based Curriculum Masking
HashFormers: Towards Vocabulary-independent Pre-trained Transformers
Calibrating Student Models for Emotion-related Tasks
Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation
Leveraging QA Datasets to Improve Generative Data Augmentation
EdgeFormer: A Parameter-Efficient Transformer for On-Device Seq2seq Generation

6. Ethics【伦理】

""I'm sorry to hear that"": Finding New Biases in Language Models with a Holistic Descriptor Dataset"
Exploration of the Usage of Color Terms by Color-blind Participants in Online Discussion Platforms
ArtELingo: A Million Emotion Annotations of WikiArt with Emphasis on Diversity over Language and Culture
PAIR: Prompt-Aware margIn Ranking for Counselor Reflection Scoring in Motivational Interviewing
NewsClaims: A New Benchmark for Claim Detection from News with Attribute Knowledge
POQue: Asking Participant-specific Outcome Questions for a Deeper Understanding of Complex Events
MEE: A Novel Multilingual Event Extraction Dataset
Late Fusion with Triplet Margin Objective for Multimodal Ideology Prediction and Analysis
Do Vision-and-Language Transformers Learn Grounded Predicate-Noun Dependencies?
MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text
Differentiable Data Augmentation for Contrastive Sentence Representation Learning
Balancing out Bias: Achieving Fairness Through Balanced Training
COLD: A Benchmark for Chinese Offensive Language Detection
Gendered Mental Health Stigma in Masked Language Models
SafeText: A Benchmark for Exploring Physical Safety in Language Models
BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation
Just Fine-tune Twice: Selective Differential Privacy for Large Language Models
TextFusion: Privacy-Preserving Pre-trained Model Inference via Token Fusion
Perturbation Augmentation for Fairer NLP
Debiasing Pretrained Text Encoders by Paying Attention to Paying Attention
MABEL: Attenuating Gender Bias using Textual Entailment Data

7. Information Extraction【信息抽取】

Transfer Learning from Semantic Role Labeling to Event Argument Extraction with Template-based Slot Querying
Generative Knowledge Graph Construction: A Review
Graph-based Model Generation for Few-Shot Relation Extraction
"A Good Neighbor, A Found Treasure: Mining Treasured Neighbors for Knowledge Graph Entity Typing"
ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select
"MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction"
Entity Extraction in Low Resource Domains with Selective Pre-training of Large Language Models
Multilingual Relation Classification via Efficient and Effective Prompting
Fine-grained Contrastive Learning for Relation Extraction
SQUIRE: A Sequence-to-sequence Framework for Multi-hop Knowledge Graph Reasoning
Style Transfer as Data Augmentation: A Case Study on Named Entity Recognition
SetGNER: General Named Entity Recognition as Entity Set Generation
SpanProto: A Two-stage Span-based Prototypical Network for Few-shot Named Entity Recognition
Logical Neural Networks for Knowledge Base Completion with Embeddings & Rules
Syntactic Multi-view Learning for Open Information Extraction
A Unified Positive-Unlabeled Learning Framework for Document-Level Relation Extraction with Different Levels of Labeling
RelU-Net: Syntax-aware Graph U-Net for Relational Triple Extraction
Retrieval-Augmented Generative Question Answering for Event Argument Extraction
Wider & Closer: Mixture of Short-channel Distillers for Zero-shot Cross-lingual Named Entity Recognition
Syntactically Rich Discriminative Training: An Effective Method for Open Information Extraction
Simple Questions Generate Named Entity Recognition Datasets
Bi-Directional Iterative Prompt-Tuning for Event Argument Extraction
Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation
Attention and Edge-Label Guided Graph Convolutional Networks for Named Entity Recognition
Improving Event Coreference Resolution Using Document-level and Topic-level Information
Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field
Open Relation and Event Type Discovery with Type Abstraction
Cross-stitching Text and Knowledge Graph Encoders for Distantly Supervised Relation Extraction
Better Few-Shot Relation Extraction with Label Prompt Dropout
UniRel: Unified Representation and Interaction for Joint Relational Triple Extraction
MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning
WR-One2Set: Towards Well-Calibrated Keyphrase Generation
Query-based Instance Discrimination Network for Relational Triple Extraction
MatchPrompt: Prompt-based Open Relation Extraction with Semantic Consistency Guided Clustering
Towards Better Document-level Relation Extraction via Iterative Inference
IELM: An Open Information Extraction Benchmark for Pre-Trained Language Models
EDIN: An End-to-end Benchmark and Pipeline for Unknown Entity Discovery and Indexing
"Learning Cross-Task Dependencies for Joint Extraction of Entities, Events, Event Arguments, and Relations"
Entity-centered Cross-document Relation Extraction
Boosting Document-Level Relation Extraction by Mining and Injecting Logical Rules
"""Covid vaccine is against Covid but Oxford vaccine is made at Oxford!"" Semantic Interpretation of Proper Noun Compounds"
Towards relation extraction from speech

8. Information Retrieval and Text Mining【信息检索与文本挖掘】

Topic Modeling With Topological Data Analysis
WeDef: Weakly Supervised Backdoor Defense for Text Classification
Pseudo-Relevance for Enhancing Document Representation
Certified Error Control of Candidate Set Pruning for Two-Stage Relevance Ranking
RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder
Efficient Document Retrieval by End-to-End Refining and Quantizing BERT Embedding with Contrastive Product Quantization
Prompt-Based Meta-Learning For Few-shot Text Classification
Generative Multi-hop Retrieval
COCO-DR: Combating the Distribution Shift in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning
Mitigating Data Sparsity for Short Text Topic Modeling by Topic-Semantic Contrastive Learning
CodeRetriever: A Large Scale Contrastive Pre-Training Method for Code Search
ConvTrans: Transforming Web Search Sessions for Conversational Dense Retrieval
Improving Multi-task Stance Detection with Multi-task Interaction Network
Generative Entity Typing with Curriculum Learning
Towards Reinterpreting Neural Topic Models via Composite Activations
Explicit Query Rewriting for Conversational Dense Retrieval
Exploring Representation-level Augmentation for Code Search
DuReader-Retrieval: A Large-scale Chinese Benchmark for Passage Retrieval from Web Search Engine
OTSeq2Set: An Optimal Transport Enhanced Sequence-to-Set Model for Extreme Multi-label Text Classification
A Framework for Adapting Pre-Trained Language Models to Knowledge Graph Completion
Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives
An Adaptive Logical Rule Embedding Model for Inductive Reasoning over Temporal Knowledge Graphs
A Unified Neural Network Model for Readability Assessment with Feature Projection and Length-Balanced Loss
Incorporating Relevance Feedback for Information-Seeking Retrieval using Few-Shot Document Re-Ranking
Coordinated Topic Modeling
Large Dual Encoders Are Generalizable Retrievers
CODER: An efficient framework for improving retrieval through COntextual Document Embedding Reranking
Recovering Gold from Black Sand: Multilingual Dense Passage Retrieval with Hard and False Negative Samples

9. Interpretability, Interactivity and Analysis of Models for NLP【自然语言处理模型的可解释性、交互与分析】

Revisiting Parameter-Efficient Tuning: Are We Really There Yet?
Can Transformers Reason in Fragments of Natural Language?
Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP
Predicting Fine-Tuning Performance with Probing
TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack
Transformer Feed-Forward Layers Build Predictions by Promoting Concepts in the Vocabulary Space
Interpreting Language Models with Contrastive Explanations
Balanced Adversarial Training: Balancing Tradeoffs between Fickleness and Obstinacy in NLP Models
DropMix: A Textual Data Augmentation Combining Dropout with Mixup
"""Will You Find These Shortcuts?"" A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification"
On the Transformation of Latent Space in Fine-Tuned NLP Models
A Multilingual Perspective Towards the Evaluation of Attribution Methods in Natural Language Inference
Robustness of Demonstration-based Learning Under Limited Data Scenario
Entailer: Answering Questions with Faithful and Truthful Chains of Reasoning
That's the Wrong Lung! Evaluating and Improving the Interpretability of Unsupervised Multimodal Encoders for Medical Data
Logical Reasoning with Span-Level Predictions for Interpretable and Robust NLI Models
Finding Dataset Shortcuts with Grammar Induction
SLING: Sino Linguistic Evaluation of Large Language Models
Towards Interactivity and Interpretability: A Rationale-based Legal Judgment Prediction Framework
Adversarial Concept Erasure in Kernel Space
ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation
Let the CAT out of the bag: Contrastive Attributed explanations for Text
Does Self-Rationalization Improve Robustness to Spurious Correlations?
Cross-Linguistic Syntactic Difference in Multilingual BERT: How Good is It and How Does It Affect Transfer?
Efficient Adversarial Training with Robust Early-Bird Tickets
Learning to Explain Selectively: A Case Study on Question Answering
Better Hit the Nail on the Head than Beat around the Bush: Removing Protected Attributes with a Single Projection
Does Your Model Classify Entities Reasonably? Diagnosing and Mitigating Spurious Correlations in Entity Typing
Measuring the Mixing of Contextual Information in the Transformer
Decoding a Neural Retriever's Latent Space for Query Suggestion
Towards Teachable Reasoning Systems: Using a Dynamic Memory of User Feedback for Continual System Improvement
Are All Spurious Features in Natural Language Alike? An Analysis through a Causal Lens
Human Guided Exploitation of Interpretable Attention Patterns in Summarization and Topic Segmentation

10. Language Modeling and Analysis of Language Models【语言建模与语言模型分析】

Iteratively Prompt Pre-trained Language Models for Chain of Thought
XPrompt: Exploring the Extreme of Prompt Tuning
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?
Finding Skill Neurons in Pre-trained Transformer-based Language Models
Instance Regularization for Discriminative Language Model Pre-training
ZeroGen: Efficient Zero-shot Learning via Dataset Generation
Efficient Large Scale Language Modeling with Mixtures of Experts
Model Criticism for Long-Form Text Generation
The Geometry of Multilingual Language Model Representations
What Makes Instruction Learning Hard? An Investigation and a New Challenge in a Synthetic Environment
Language Model Pre-Training with Sparse Latent Typing
Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations
ROSE: Robust Selective Fine-tuning for Pre-trained Language Models
Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language Processing
Knowledge Prompting in Pre-trained Language Model for Natural Language Understanding
Nearest Neighbor Zero-Shot Inference
Red Teaming Language Models with Language Models
COPEN: Probing Conceptual Knowledge in Pre-trained Language Models
Training Language Models with Memory Augmentation
Invariant Language Modeling
AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning
BioReader: a Retrieval-Enhanced Text-to-Text Transformer for Biomedical Literature
InforMask: Unsupervised Informative Masking for Language Model Pretraining
Fine-tuned Language Models are Continual Learners
TemporalWiki: A Lifelong Benchmark for Training and Evaluating Ever-Evolving Language Models
Improving Temporal Generalization of Pre-trained Language Models with Lexical Semantic Change
ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts
Exploring Mode Connectivity for Pre-trained Language Models
Boosting Natural Language Generation from Instructions with Meta-Learning
Zero-Shot Learners for Natural Language Understanding via a Unified Multiple Choice Perspective
Subword Evenness (SuE) as a Predictor of Cross-lingual Transfer to Low-resource Languages
Parameter-Efficient Tuning Makes a Good Classification Head
Character-level White-Box Adversarial Attacks against Transformers via Attachable Subwords Substitution
"SocioProbe: What, When, and Where Language Models Learn about Sociodemographics"
GPS: Genetic Prompt Search for Efficient Few-Shot Learning
Active Example Selection for In-Context Learning
Adapting a Language Model While Preserving its General Knowledge

11. Linguistic Theories, Cognitive Modeling and Psycholinguistics【语言学理论、认知模型与心理语言学】

The Curious Case of Control
Tracing Semantic Variation in Slang
A Comprehensive Comparison of Neural Networks as Cognitive Models of Inflection
Cascading Biases: Investigating the Effect of Heuristic Annotation Strategies on Data and Models
Is the Brain Mechanism for Hierarchical Structure Building Universal Across Languages? An fMRI Study of Chinese and English
Entropy- and Distance-Based Predictors From GPT-2 Attention Patterns Predict Reading Times Over and Above GPT-2 Surprisal
Discourse Context Predictability Effects in Hindi Word Order
Context Limitations Make Neural Language Models More Human-Like
"The better your Syntax, the better your Semantics? Probing Pretrained Language Models for the English Comparative Correlative"

12. Machine Learning for NLP【机器学习与自然语言处理】

Diverse Parallel Data Synthesis for Cross-Database Adaptation of Text-to-SQL Parsers
Fixing Model Bugs with Natural Language Patches
Interventional Training for Out-Of-Distribution Natural Language Understanding
Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling
When Can Transformers Ground and Compose: Insights from Compositional Generalization Benchmarks
GammaE: Gamma Embeddings for Logical Queries on Knowledge Graphs
Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning
Numerical Optimizations for Weighted Low-rank Estimation on Language Models
Efficient Nearest Neighbor Search for Cross-Encoder Models using Matrix Factorization
A Localized Geometric Method to Match Knowledge in Low-dimensional Hyperbolic Space
Making Pretrained Language Models Good Long-tailed Learners
RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning
Natural Language to Code Translation with Execution
HPT: Hierarchy-aware Prompt Tuning for Hierarchical Text Classification
GA-SAM: Gradient-Strength based Adaptive Sharpness-Aware Minimization for Improved Generalization
BBTv2: Towards a Gradient-Free Future with Large Language Models
Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models
Mixture of Attention Heads: Selecting Attention Heads Per Token
Complex Hyperbolic Knowledge Graph Embeddings with Fast Fourier Transform
Transformer-based Entity Typing in Knowledge Graphs
A Survey of Active Learning for Natural Language Processing
G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks
Textual Manifold-based Defense Against Natural Language Adversarial Examples
The Devil in Linear Transformer
STGN: an Implicit Regularization Method for Learning with Noisy Labels in Natural Language Processing
Learning Inter-Entity-Interaction for Few-Shot Knowledge Graph Completion
Hierarchical Phrase-Based Sequence-to-Sequence Learning
Adaptive Label Smoothing with Self-Knowledge in Natural Language Generation
Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation
MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality Sequences

13. Machine Translation【机器翻译】

Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural Machine Translation
PreQuEL: Quality Estimation of Machine Translation Outputs in Advance
Digging Errors in NMT: Evaluating and Understanding Model Errors from Partial Hypothesis Space
The Importance of Being Parameters: An Intra-Distillation Method for Serious Gains
Non-Parametric Domain Adaptation for End-to-End Speech Translation
Information-Transport-based Policy for Simultaneous Translation
Multilingual Machine Translation with Hyper-Adapters
Continual Learning of Neural Machine Translation within Low Forgetting Risk Regions
Distill The Image to Nowhere: Inversion Knowledge Distillation for Multimodal Machine Translation
Machine Translation Robustness to Natural Asemantic Variation
Neural Machine Translation with Contrastive Translation Memories
A Template-based Method for Constrained Neural Machine Translation
Chunk-based Nearest Neighbor Machine Translation
MT-GenEval: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine Translation
Candidate Soups: Fusing Candidate Results Improves Translation Quality for Non-Autoregressive Translation
Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality?
Multi-Granularity Optimization for Non-Autoregressive Translation
WeTS: A Benchmark for Translation Suggestion
Norm-based Noisy Corpora Filtering and Refurbishing in Neural Machine Translation
Towards Robust k-Nearest-Neighbor Machine Translation
SimQA: Detecting Simultaneous MT Errors through Word-by-Word Question Answering
Modeling Consistency Preference via Lexical Chains for Document-level Neural Machine Translation
Breaking the Representation Bottleneck of Chinese Characters: Neural Machine Translation with Stroke Sequence Modeling
Increasing Visual Awareness in Multimodal Neural Machine Translation from an Information Theoretic Perspective
Unifying the Convergences in Multilingual Neural Machine Translation
XLM-D: Decorate Cross-lingual Pre-training Model as Non-Autoregressive Neural Machine Translation
Hypoformer: Hybrid Decomposition Transformer for Edge-friendly Neural Machine Translation
When does Parameter-Efficient Transfer Learning Work for Machine Translation?
Bilingual Synchronization: Restoring Translational Relationships with Editing Operations
ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation
Multimodal Robustness for Neural Machine Translation
Disentangling Uncertainty in Machine Translation Evaluation
Towards Opening the Black Box of Neural Machine Translation: Source and Target Interpretations of the Transformer
RAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon Induction
Adaptive Token-level Cross-lingual Feature Mixing for Multilingual Neural Machine Translation
Low-resource Neural Machine Translation with Cross-modal Alignment
Entropy-Based Vocabulary Substitution for Incremental Learning in Multilingual Neural Machine Translation

14. Multilinguality【多语言】

Calibrating Zero-shot Cross-lingual (Un-)structured Predictions
Zero-shot Cross-lingual Transfer of Prompt-based Tuning with a Unified Multilingual Prompt
Transforming Sequence Tagging Into A Seq2Seq Task
Joint Completion and Alignment of Multilingual Knowledge Graphs
Improving Low-Resource Languages in Pre-Trained Multilingual Language Models
Crossmodal-3600: A Massively Multilingual Multimodal Evaluation Dataset
Graph-Based Multilingual Label Propagation for Low-Resource Part-of-Speech Tagging
AfroLID: A Neural Language Identification Tool for African Languages
The (Undesired) Attenuation of Human Biases by Multilinguality
CoCoA: An Encoder-Decoder Model for Controllable Code-switched Generation
Multi-level Distillation of Semantic Knowledge for Pre-training Multilingual Language Model
Empowering Dual-Encoder with Query Generator for Cross-Lingual Dense Retrieval
Analyzing the Mono- and Cross-Lingual Pretraining Dynamics of Multilingual Language Models
Cross-Align: Modeling Deep Cross-lingual Interactions for Word Alignment
Discovering Low-rank Subspaces for Language-agnostic Multilingual Representations
Data-Efficient Strategies for Expanding Hate Speech Detection into Under-Resourced Languages
T-Modules: Translation Modules for Zero-Shot Cross-Modal Machine Translation
Enhancing Multilingual Language Model with Massive Multilingual Knowledge Triples
Discovering Language-neutral Sub-networks in Multilingual Language Models
Hyper-X: A Unified Hypernetwork for Multi-Task Multilingual Transfer
ConNER: Consistency Training for Cross-lingual Named Entity Recognition
Few-shot Learning with Multilingual Generative Language Models
English Contrastive Learning Can Learn Universal Cross-lingual Sentence Embeddings
Label-aware Multi-level Contrastive Learning for Cross-lingual Spoken Language Understanding
Polyglot Prompt: Multilingual Multitask Prompt Training
PRO-CS : An Instance-Based Prompt Composition Technique for Code-Switched Tasks
Don't Stop Fine-Tuning: On Training Regimes for Few-Shot Cross-Lingual Transfer with Multilingual Language Models

15. Natural Language Generation【自然语言生成】

RankGen: Improving Text Generation with Large Ranking Models
Linearizing Transformer with Key-Value Memory
A Unified Encoder-Decoder Framework with Entity Memory
A Distributional Lens for Multi-Aspect Controllable Text Generation
ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generation
Curriculum Prompt Learning with Self-Training for Abstractive Dialogue Summarization
Visual Spatial Description: Controlled Spatial-Oriented Image-to-Text Generation
SubeventWriter: Iterative Sub-event Sequence Generation with Coherence Controller
Towards a Unified Multi-Dimensional Evaluator for Text Generation
Prompt-and-Rerank: A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models
Gradient-based Constrained Sampling from Language Models
DisCup: Discriminator Cooperative Unlikelihood Prompt-tuning for Controllable Text Generation
CapOnImage: Context-driven Dense-Captioning on Image
DSM: Question Generation over Knowledge Base via Modeling Diverse Subgraphs with Meta-learner
Re3: Generating Longer Stories With Recursive Reprompting and Revision
Discourse-Aware Soft Prompting for Text Generation
Context-Situated Pun Generation
Differentially Private Language Models for Secure Data Sharing
Conditional set generation using Seq2seq models
Twist Decoding: Diverse Generators Guide Each Other
Contrastive Learning enhanced Author-Style Headline Generation
IndicNLG Benchmark: Multilingual Datasets for Diverse NLG Tasks in Indic Languages
Investigating the Robustness of Natural Language Generation from Logical Forms via Counterfactual Samples
PLOG: Table-to-Logic Pretraining for Logical Table-to-Text Generation
Controlled Text Reduction
Help me write a Poem - Instruction Tuning as a Vehicle for Collaborative Poetry Writing
Revisiting Grammatical Error Correction Evaluation and Beyond
R2D2: Robust Data-to-Text with Replacement Detection
Precisely the Point: Adversarial Augmentations for Faithful and Informative Text Generation
Composing Ci with Reinforced Non-autoregressive Text Generation
Keyphrase Generation via Soft and Hard Semantic Corrections
JANUS: Joint Autoregressive and Non-autoregressive Training with Auxiliary Loss for Sequence Generation
Towards Table-to-Text Generation with Pretrained Language Model: A Table Structure Understanding and Text Deliberating Approach
T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation
Towards Inter-character Relationship-driven Story Generation
Hard Gate Knowledge Distillation - Leverage Calibration for Robust and Reliable Language Model
VisToT: Vision-Augmented Table-to-Text Generation
Improving Iterative Text Revision by Learning Where to Edit from Other Revision Tasks
Evade the Trap of Mediocrity: Promoting Diversity and Novelty in Text Generation via Concentrating Attention
ProofInfer: Generating Proof via Iterative Hierarchical Inference

16. NLP Applications【自然语言处理应用】

Varifocal Question Generation for Fact-checking
ConReader: Exploring Implicit Relations in Contracts for Contract Clause Extraction
SHARE: a System for Hierarchical Assistive Recipe Editing
ScienceWorld: Is your Agent Smarter than a 5th Grader?
Federated Meta-Learning for Emotion and Sentiment Aware Multi-modal Complaint Identification
Data-Efficient Playlist Captioning With Musical and Linguistic Knowledge
Improved grammatical error correction by ranking elementary edits
Neighborhood Contrastive Learning for Scientific Document Representations with Citation Embeddings
MedJEx: A Medical Jargon Extraction Model with Wiki's Hyperlink Span and Contextualized Masked Language Model Score
PAR: Political Actor Representation Learning with Social Context and Expert Knowledge
Learning to Generate Question by Asking Question: A Primal-Dual Approach with Uncommon Word Generation
Translation between Molecules and Natural Language
Guiding Neural Entity Alignment with Compatibility
Segmenting Numerical Substitution Ciphers
How Large Language Models are Transforming Machine-Paraphrase Plagiarism
Deconfounding Legal Judgment Prediction for European Court of Human Rights Cases Towards Better Alignment with Experts
PLM-based World Models for Text-based Games
Large language models are few-shot clinical information extractors
ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detection
PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning
Open-Topic False Information Detection on Social Networks with Contrastive Adversarial Learning
Rethinking Positional Encoding in Tree Transformer for Code Representation
A Joint Learning Framework for Restaurant Survival Prediction and Explanation
Life is a Circus and We are the Clowns: Automatically Finding Analogies between Situations and Processes
Distilling Causal Effect from Miscellaneous Other-Class for Continual Named Entity Recognition
Chapter Ordering in Novels
Open-ended Knowledge Tracing for Computer Science Education
MedCLIP: Contrastive Learning from Unpaired Medical Images and Text
Automatic Generation of Socratic Subquestions for Teaching Math Word Problems
Improving Chinese Spelling Check by Character Pronunciation Prediction: The Effects of Adaptivity and Granularity
A Speaker-Aware Co-Attention Framework for Medical Dialogue Information Extraction
Towards Multi-Modal Sarcasm Detection via Hierarchical Congruity Modeling with Knowledge Enhancement
MetaFill: Text Infilling for Meta-Path Generation on Heterogeneous Information Networks
Affective Knowledge Enhanced Multiple-Graph Fusion Networks for Aspect-based Sentiment Analysis
TeleMelody: Lyric-to-Melody Generation with a Template-Based Two-Stage Method
SEEN: Structured Event Enhancement Network for Explainable Need Detection of Information Recall Assistance
Tiny-NewsRec: Effective and Efficient PLM-based News Recommendation
BERT in Plutarch's Shadows
Natural Logic-guided Autoregressive Multi-hop Document Retrieval for Fact Verification
Federated Model Decomposition with Private Vocabulary for Text Classification
Boundary-Driven Table-Filling for Aspect Sentiment Triplet Extraction
Topical Segmentation of Spoken Narratives: A Test Case on Holocaust Survivor Testimonies
Factual Accuracy is not Enough: Planning Consistent Description Order for Radiology Report Generation
GREENER: Graph Neural Networks for News Media Profiling
Cross-lingual neural fuzzy matching for exploiting target-language monolingual corpora in computer-aided translation
FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information
Multitask Instruction-based Prompting for Fallacy Recognition
Semantic Novelty Detection and Characterization in Factual Text Involving Named Entities
Unsupervised Non-transferable Text Classification
Mask the Correct Tokens: An Embarrassingly Simple Approach for Error Correction
MoSE: Modality Split and Ensemble for Multimodal Knowledge Graph Completion

17. Phonology, Morphology and Word Segmentation【音韵、词法和分词】

Improving Tokenisation by Alternative Treatment of Spaces
Unsupervised Boundary-Aware Language Model Pretraining for Chinese Sequence Labeling
"Break it Down into BTS: Basic, Tiniest Subword Units for Korean"

18. Question Answering【问答系统】

Pre-training Language Models with Deterministic Factual Knowledge
OpenCQA: Open-ended Question Answering with Charts
Generating Natural Language Proofs with Verifier-Guided Search
Improving Complex Knowledge Base Question Answering via Question-to-Action and Question-to-Question Alignment
Successive Prompting for Decomposing Complex Questions
M3: A Multi-View Fusion and Multi-Decoding Network for Multi-Document Reading Comprehension
Semantic Framework based Query Generation for Temporal Question Answering over Knowledge Graphs
Improving compositional generalization for multi-step quantitative reasoning in question answering
Learning to Decompose: Hypothetical Question Decomposition Based on Comparable Texts
TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data
Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence
QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive Adaptation
Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer
Generating Information-Seeking Conversations from Unlabeled Documents
You Only Need One Model for Open-domain Question Answering
KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question Answering
Improving Passage Retrieval with Zero-Shot Question Generation
FiE: Building a Global Probability Space by Leveraging Early Fusion in Encoder for Open-Domain Question Answering
Capturing Global Structural Information in Long Document Question Answering with Compressive Graph Selector Network
DRLK: Dynamic Hierarchical Reasoning with Language Model and Knowledge Graph for Question Answering
ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering
"Video Question Answering: Datasets, Algorithms and Challenges"
Teaching Broad Reasoning Skills for Multi-Step QA by Generating Hard Contexts
PACIFIC: Towards Proactive Conversational Question Answering over Tabular and Textual Data in Finance
RLET: A Reinforcement Learning Based Approach for Explainable QA with Entailment Trees
monoQA: Multi-Task Learning of Reranking and Answer Extraction for Open-Retrieval Conversational Question Answering
UniRPG: Unified Discrete Reasoning over Table and Text as Program Generation
DuQM: A Chinese Dataset of Linguistically Perturbed Natural Questions for Evaluating the Robustness of Question Matching Models
TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Base
Structure-Unified M-Tree Coding Solver for Math Word Problem
Rethinking Multi-Modal Alignment in Multi-Choice VideoQA from Feature and Sample Perspectives
ASQA: Factoid Questions Meet Long-Form Answers
Uni-Parser: Unified Semantic Parser for Question Answering on Knowledge Base and Database
ReasTAP: Injecting Table Reasoning Skills During Pre-training via Synthetic Reasoning Examples
Analogical Math Word Problems Solving with Enhanced Problem-Solution Association
Knowledge Transfer from Answer Ranking to Answer Generation
Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering

19. Resources and Evaluation【资源和评测】

On the Limitations of Reference-Free Evaluations of Generated Text
GuoFeng: A Benchmark for Zero Pronoun Recovery and Translation
GENIE: Toward Reproducible and Standardized Human Evaluation for Text Generation
Three Real-World Datasets and Neural Computational Models for Classification Tasks in Patent Landscaping
Agent-Specific Deontic Modality Detection in Legal Language
SCROLLS: Standardized CompaRison Over Long Language Sequences
"JDDC 2.1: A Multimodal Chinese Dialogue Dataset with Joint Tasks of Query Rewriting, Response Generation, Discourse Parsing, and Summarization"
Multi-VQG: Generating Engaging Questions for Multiple Images
"Tomayto, Tomahto. Beyond Token-level Answer Equivalence for Question Answering Evaluation"
QRelScore: Better Evaluating Generated Questions with Deeper Understanding of Context-aware Relevance
Generative Language Models for Paragraph-Level Question Generation
"Cross-document Event Coreference Search: Task, Dataset and Modeling"
M2D2: A Massively Multi-Domain Language Modeling Dataset
"StoryER: Automatic Story Evaluation via Ranking, Rating and Reasoning"
Linguistic Corpus Annotation for Automatic Text Simplification Evaluation
Near-Negative Distinction: Giving a Second Life to Human Evaluation Datasets
Stanceosaurus: Classifying Stance Towards Multicultural Misinformation
When FLUE Meets FLANG: Benchmarks and Large Pretrained Language Model for Financial Domain
Reproducibility in Computational Linguistics: Is Source Code Enough?
MUSIED: A Benchmark for Event Detection from Multi-Source Heterogeneous Informal Texts
Reproducibility Issues for BERT-based Evaluation Metrics
On the Evaluation Metrics for Paraphrase Generation
A Second Wave of UD Hebrew Treebanking and Cross-Domain Parsing
MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition
ExPUNations: Augmenting Puns with Keywords and Explanations
Context Matters for Image Descriptions for Accessibility: Challenges for Referenceless Evaluation Metrics
MetaLogic: Logical Reasoning Explanations with Fine-Grained Structure
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
RuCoLA: Russian Corpus of Linguistic Acceptability
Towards Knowledge-Intensive Text-to-SQL Semantic Parsing with Formulaic Knowledge
PHEE: A Dataset for Pharmacovigilance Event Extraction from Text
LILA: A Unified Benchmark for Mathematical Reasoning
Transfer Learning with Synthetic Corpora for Spatial Role Labeling and Reasoning
CEFR-Based Sentence Difficulty Annotation and Assessment
Title2Event: Benchmarking Open Event Extraction with a Large-scale Chinese Title Dataset
IDK-MRC: Unanswerable Questions for Indonesian Machine Reading Comprehension
FigMemes: A Dataset for Figurative Language Identification in Politically-Opinionated Memes
"ParaTag: A Dataset of Paraphrase Tagging for Fine-Grained Labels, NLG Evaluation, and Data Augmentation"
Open-domain Video Commentary Generation
EUR-Lex-Sum: A Multi- and Cross-lingual Dataset for Long-form Summarization in the Legal Domain
DivEMT: Neural Machine Translation Post-Editing Effort Across Typologically Diverse Languages
Human-Machine Collaboration Approaches to Build a Dialogue Dataset for Hate Speech Countering
Revisiting DocRED - Addressing the False Negative Problem in Relation Extraction
Bloom Library: Multimodal Datasets in 300+ Languages for a Variety of Downstream Tasks
Hierarchical Multi-Label Classification of Scientific Documents
Detecting Label Errors by Using Pre-Trained Language Models
CN-AutoMIC: Distilling Chinese Commonsense Knowledge from Pretrained Language Models
Improving Large-scale Paraphrase Acquisition and Generation
A Survey of Computational Framing Analysis Approaches
arXivEdits: Understanding the Human Revision Process in Scientific Writing
DEMETR: Diagnosing Evaluation Metrics for Translation
RobustLR: A Diagnostic Benchmark for Evaluating Logical Robustness of Deductive Reasoners
CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering
Exploring Document-Level Literary Machine Translation with Parallel Paragraphs from World Literature
A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach
A Fine-grained Chinese Software Privacy Policy Dataset for Sequence Labeling and Regulation Compliant Identification
DiscoSense: Commonsense Reasoning with Discourse Connectives
Evaluating the Knowledge Dependency of Questions
Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature
KOLD: Korean Offensive Language Dataset
ECTSum: A New Benchmark Dataset For Bullet Point Summarization of Long Earnings Call Transcripts

20. Semantics: Lexical, Sentence level, Textual Inference and Other areas【语义学：单词、句子层次、文本推理和其他领域】

Measuring Context-Word Biases in Lexical Semantic Datasets
Unobserved Local Structures Make Compositional Generalization Hard
Mitigating Spurious Correlation in Natural Language Understanding with Counterfactual Inference
Mutual Exclusivity Training and Primitive Augmentation to Induce Compositionality
PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models
Reasoning Like Program Executors
DocInfer: Document-level Natural Language Inference using Optimal Evidence Selection
Infinite SCAN: An Infinite Model of Diachronic Semantic Change
"R2F: A General Retrieval, Reading and Fusion Framework for Document-level Natural Language Inference"
RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL
Sentence Representation Learning with Generative Objective rather than Contrastive Objective
Generating Literal and Implied Subquestions to Fact-check Complex Claims
Exploring the Secrets Behind the Learning Difficulty of Meaning Representations for Semantic Parsing
Understanding Jargon: Combining Extraction and Generation for Definition Modeling
Exploiting Global and Local Hierarchies for Hierarchical Text Classification
Semantic-aware Contrastive Learning for More Accurate Semantic Parsing
Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence Embedding
Inductive Relation Prediction with Logical Reasoning Using Contrastive Representations
Open World Classification with Adaptive Negative Samples
Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification
Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables
Leveraging Affirmative Interpretations from Negation Improves Natural Language Understanding
GraphQ IR: Unifying the Semantic Parsing of Graph Query Languages with One Intermediate Representation
Retrofitting Multilingual Sentence Embeddings with Abstract Meaning Representation
DEER: Descriptive Knowledge Graph for Explaining Entity Relationships
FLUTE: Figurative Language Understanding through Textual Explanations
QASem Parsing: Text-to-text Modeling of QA-based Semantics
"Generate, Discriminate and Contrast: A Semi-Supervised Sentence Representation Learning Framework"
Natural Language Deduction with Incomplete Information
PromptBERT: Improving BERT Sentence Embeddings with Prompts
Are representations built from the ground up? An empirical examination of local composition in language models
Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing
Breakpoint Transformers for Modeling and Tracking Intermediate Beliefs
Looking at the Overlooked: An Analysis on the Word-Overlap Bias in Natural Language Inference
Cross-domain Generalization for AMR Parsing

21. Sentiment Analysis, Stylistic Analysis, and Argument Mining【情感分析、文体分析和论点挖掘】

Semantic Simplification for Sentiment Classification
Curriculum Knowledge Distillation for Emoji-supervised Cross-lingual Sentiment Analysis
"A Multifaceted Framework to Evaluate Evasion, Content Preservation, and Misattribution in Authorship Obfuscation Techniques"
Mitigating Inconsistencies in Multimodal Sentiment Analysis under Uncertain Missing Modalities
Curriculum Learning Meets Weakly Supervised Multimodal Correlation Learning
COM-MRC: A COntext-Masked Machine Reading Comprehension Framework for Aspect Sentiment Triplet Extraction
CEM: Machine-Human Chatting Handoff via Causal-Enhance Module
Face-Sensitive Image-to-Emotional-Text Cross-modal Translation for Multimodal Aspect-based Sentiment Analysis
A Span-level Bidirectional Network for Aspect Sentiment Triplet Extraction
Efficient Nearest Neighbor Emotion Classification with BERT-whitening
Sentiment-Aware Word and Sentence Level Pre-training for Sentiment Analysis
AEG: Argumentative Essay Generation via A Dual-Decoder Model with Content Planning
Pair-Based Joint Encoding with Relational Graph Convolutional Networks for Emotion-Cause Pair Extraction
AX-MABSA: A Framework for Extremely Weakly Supervised Multi-label Aspect Based Sentiment Analysis
Generative Data Augmentation with Contrastive Learning for Zero-Shot Stance Detection
Text Style Transferring via Adversarial Masking and Styled Filling
UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition
Improving Aspect Sentiment Quad Prediction via Template-Order Data Augmentation
Generative Entity-to-Entity Stance Detection with Knowledge Graph Augmentation
Symptom Identification for Interpretable Detection of Multiple Mental Disorders on Social Media
A Simple Contrastive Learning Framework for Interactive Argument Pair Identification via Argument-Context Extraction
Prompt-based Distribution Alignment for Domain Generalization in Text Classification
A Generative Model for End-to-End Argument Mining with Reconstructed Positional Encoding and Constrained Pointer Mechanism

22. Speech, Vision, Robotics, Multimodal Grounding【语音、视觉、机器人、多模态】

PEVL: Position-enhanced Pre-training and Prompt Tuning for Vision-language Models
Textless Speech Emotion Conversion using Discrete & Decomposed Representations
Retrieval Augmented Visual Question Answering with Outside Knowledge
Normalized Contrastive Learning for Text-Video Retrieval
Robustness of Fusion-based Multimodal Classifiers to Cross-Modal Content Dilutions
Abstract Visual Reasoning with Tangram Shapes
Z-LaVI: Zero-Shot Language Solver Fueled by Visual Imagination
DANLI: Deliberative Agent for Following Natural Language Instructions
SpeechUT: Bridging Speech and Text with Hidden-Unit for Encoder-Decoder Based Speech-Text Pre-training
Can Visual Context Improve Automatic Speech Recognition for an Embodied Agent?
Why is Winoground Hard? Investigating Failures in Visuolinguistic Compositionality
LVP-M3: Language-aware Visual Prompt for Multilingual Multimodal Machine Translation
UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical Expression
CPL: Counterfactual Prompt Learning for Vision and Language Models
MGDoc: Pre-training with Multi-granular Hierarchy for Document Image Understanding
TRIPS: Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection
RelCLIP: Adapting Language-Image Pretraining for Visual Relationship Detection via Relational Contrastive Learning
McQueen: a Benchmark for Multimodal Conversational Query Rewrite
Discrete Cross-Modal Alignment Enables Zero-Shot Speech Translation
An Anchor-based Relative Position Embedding Method for Cross-Modal Tasks
GHAN: Graph-Based Hierarchical Aggregation Network for Text-Video Retrieval
A Span-based Multimodal Variational Autoencoder for Semi-supervised Multimodal Named Entity Recognition
Open-Domain Sign Language Translation Learned from Online Video
ULN: Towards Underspecified Vision-and-Language Navigation
Towards Unifying Reference Expression Generation and Comprehension
mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections
Speaker Overlap-aware Neural Diarization for Multi-party Meeting Analysis
SEMGraph: Incorporating Sentiment Knowledge and Eye Movement into Graph Model for Sentiment Analysis
Extending Phrase Grounding with Pronouns in Visual Dialogues
LiteVL: Efficient Video-Language Learning with Enhanced Spatial-Temporal Modeling
Entity-Focused Dense Passage Retrieval for Outside-Knowledge Visual Question Answering
Character-centric Story Visualization via Visual Planning and Token Alignment
Contrastive Learning with Expectation-Maximization for Weakly Supervised Phrase Grounding
Distilled Dual-Encoder Model for Vision-Language Understanding
Weakly-Supervised Temporal Article Grounding
Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Prediction
FaD-VLP: Fashion Vision-and-Language Pre-training towards Unified Retrieval and Captioning
End-to-End Unsupervised Vision-and-Language Pre-training with Referring Expression Matching

23. Summarization【文本摘要】

How Far are We from Robust Long Abstractive Summarization?
CiteSum: Citation Text-guided Scientific Extreme Summarization and Domain Adaptation with Limited Supervision
Learning to Generate Overlap Summaries through Noisy Synthetic Data
Toward Unifying Text Segmentation and Long Document Summarization
SNaC: Coherence Error Detection for Narrative Summarization
HydraSum: Disentangling Style Features in Text Summarization with Multi-Decoder Models
SEM-F1: an Automatic Way for Semantic Evaluation of Multi-Narrative Overlap Summaries at Scale
SQuALITY: Building a Long-Document Summarization Dataset the Hard Way
Effective and Efficient Query-aware Snippet Extraction for Web Search
Opinion Summarization by Weak-Supervision from Mix-structured Data
Few-shot Query-Focused Summarization with Prefix-Merging
Summarizing Community-based Question-Answer Pairs
Scientific Paper Extractive Summarization Enhanced by Citation Graphs
Analyzing and Evaluating Faithfulness in Dialogue Summarization
Abstractive Summarization Guided by Latent Hierarchical Document Structure
RACE: Retrieval-augmented Commit Message Generation
CTRLsum: Towards Generic Controllable Text Summarization
Leveraging Locality in Abstractive Text Summarization
Salience Allocation as Guidance for Abstractive Summarization
Factorizing Content and Budget Decisions in Abstractive Summarization of Long Documents
Assist Non-native Viewers: Multimodal Cross-Lingual Summarization for How2 Videos
X-FACTOR: A Cross-metric Evaluation of Factual Correctness in Abstractive Summarization
ClidSum: A Benchmark Dataset for Cross-Lingual Dialogue Summarization
Towards Summary Candidates Fusion
Unsupervised Opinion Summarisation in the Wasserstein Space
Why Do You Feel This Way? Summarizing Triggers of Emotions in Social Media Posts
Evaluating and Improving Factuality in Multimodal Abstractive Summarization
Referee: Reference-Free Sentence Summarization with Sharper Controllability through Symbolic Knowledge Distillation
Learning with Rejection for Abstractive Text Summarization
Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling
HEGEL: Hypergraph Transformer for Long Document Summarization

24. Syntax, Parsing and their Applications【语法、句法及其应用】

SynGEC: Syntax-Enhanced Grammatical Error Correction with a Tailored GEC-Oriented Parser
Learning a Grammar Inducer from Massive Uncurated Instructional Videos
Unbiased and Efficient Sampling of Dependency Trees
Algorithms for Acyclic Weighted Finite-State Automata with Failure Arcs
On Parsing as Tagging
Algorithms for Weighted Pushdown Automata
"Reorder and then Parse, Fast and Accurate Discontinuous Constituency Parsing"

25. Theme Track【主题追踪】

Towards Climate Awareness in NLP Research
Whose Language Counts as High Quality? Measuring Language Ideologies in Text Data Selection
Geographic Citation Gaps in NLP Research
Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs
Structural generalization is hard for sequence-to-sequence models
Questioning the Validity of Summarization Datasets and Improving Their Factual Consistency
Missing Counter-Evidence Renders NLP Fact-Checking Unrealistic for Misinformation
The Authenticity Gap in Human Evaluation
Counterfactual Recipe Generation: Exploring Compositional Generalization in a Realistic Scenario
Bridging Fairness and Environmental Sustainability in Natural Language Processing
Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems
CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation

26. Unsupervised and Weakly-Supervised Methods in NLP【自然语言处理中的无监督和弱监督方法】

Bilingual Lexicon Induction for Low-Resource Languages using Graph Matching via Optimal Transport
CycleKQR: Unsupervised Bidirectional Keyword-Question Rewriting
Zero-Shot Text Classification with Self-Training
Fine-grained Category Discovery under Coarse-grained supervision with Hierarchical Weighted Self-contrastive Learning
Learning Instructions with Unlabeled Data for Zero-Shot Cross-Task Generalization
Fast-R2D2: A Pretrained Recursive Neural Network based on Pruned CKY for Grammar Induction and Text Representation
Unsupervised Tokenization Learning
FastClass: A Time-Efficient Approach to Weakly-Supervised Text Classification
PASTA: Table-Operations Aware Fact Verification via Sentence-Table Cloze Pre-training
Rethinking Style Transformer with Energy-based Interpretation: Adversarial Unsupervised Style Transfer using a Pretrained Model
IsoVec: Controlling the Relative Isomorphism of Word Embedding Spaces
Modal-specific Pseudo Query Generation for Video Corpus Moment Retrieval
Beyond prompting: Making Pre-trained Language Models Better Zero-shot Learners by Clustering Representations

发布于 2022-10-26 17:19

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