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Do Language Models Make Human-like Predictions about the Coreferents of Italian Anaphoric Zero Pronouns?

COMMA: Modeling Relationship among Motivations, Emotions and Actions in Language-based Human Activities

Neuro-Symbolic Visual Dialog

Adaptive Natural Language Generation for Task-oriented Dialogue via Reinforcement Learning

GRASP: Guiding Model with RelAtional Semantics Using Prompt for Dialogue Relation Extraction

SelF-Eval: Self-supervised Fine-grained Dialogue Evaluation

Open-Domain Dialog Evaluation Using Follow-Ups Likelihood

SPACE-2: Tree-Structured Semi-Supervised Contrastive Pre-training for Task-Oriented Dialog Understanding

ET5: A Novel End-to-end Framework for Conversational Machine Reading Comprehension

CoHS-CQG: Context and History Selection for Conversational Question Generation

Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation

Target-Guided Open-Domain Conversation Planning

Generalized Intent Discovery: Learning from Open World Dialogue System

DialMed: A Dataset for Dialogue-based Medication Recommendation

Hierarchical Information Matters: Text Classification via Tree Based Graph Neural Network

SelfMix: Robust Learning against Textual Label Noise with Self-Mixup Training

CONCRETE: Improving Cross-lingual Fact-checking with Cross-lingual Retrieval

Parameter-Efficient Neural Reranking for Cross-Lingual and Multilingual Retrieval

DPTDR: Deep Prompt Tuning for Dense Passage Retrieval

Debiasing Word Embeddings with Nonlinear Geometry

Bias at a Second Glance: A Deep Dive into Bias for German Educational Peer-Review Data Modeling

Dynamic Relevance Graph Network for Knowledge-Aware Question Answering

Answering Numerical Reasoning Questions in Table-Text Hybrid Contents with Graph-based Encoder and Tree-based Decoder

IMCI: Integrate Multi-view Contextual Information for Fact Extraction and Verification

Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words

ArT: All-round Thinker for Unsupervised Commonsense Question Answering

Coalescing Global and Local Information for Procedural Text Understanding

Semantic Structure Based Query Graph Prediction for Question Answering over Knowledge Graph

Mintaka: A Complex, Natural, and Multilingual Dataset for End-to-End Question Answering

Locate Then Ask: Interpretable Stepwise Reasoning for Multi-hop Question Answering

Less Is Better: Recovering Intended-Feature Subspace to Robustify NLU Models

ArcaneQA: Dynamic Program Induction and Contextualized Encoding for Knowledge Base Question Answering

Unsupervised Question Answering via Answer Diversifying

OneEE: A One-Stage Framework for Fast Overlapping and Nested Event Extraction

Joint Language Semantic and Structure Embedding for Knowledge Graph Completion

STAD: Self-Training with Ambiguous Data for Low-Resource Relation Extraction

DocQueryNet: Value Retrieval with Arbitrary Queries for Form-like Documents

Incremental Prompting: Episodic Memory Prompt for Lifelong Event Detection

Recent Advances in Text-to-SQL: A Survey of What We Have and What We Expect

An MRC Framework for Semantic Role Labeling

MedDistant19: Towards an Accurate Benchmark for Broad-Coverage Biomedical Relation Extraction

Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective

SCL-RAI: Span-based Contrastive Learning with Retrieval Augmented Inference for Unlabeled Entity Problem in NER

LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting

Domain-Specific NER via Retrieving Correlated Samples

Supporting Medical Relation Extraction via Causality-Pruned Semantic Dependency Forest

Few Clean Instances Help Denoising Distant Supervision

SEE-Few: Seed, Expand and Entail for Few-shot Named Entity Recognition

Ruleformer: Context-aware Rule Mining over Knowledge Graph

Multi-modal Contrastive Representation Learning for Entity Alignment

Nonparametric Forest-Structured Neural Topic Modeling

A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection

Medical Question Understanding and Answering with Knowledge Grounding and Semantic Self-Supervision

DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting

Harnessing Abstractive Summarization for Fact-Checked Claim Detection

Semantic-Preserving Adversarial Code Comprehension

AiM: Taking Answers in Mind to Correct Chinese Cloze Tests in Educational Applications

Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models

TempoWiC: An Evaluation Benchmark for Detecting Meaning Shift in Social Media

ConFiguRe: Exploring Discourse-level Chinese Figures of Speech

Layer or Representation Space: What Makes BERT-based Evaluation Metrics Robust?

TERMinator: A System for Scientific Texts Processing

KoCHET: A Korean Cultural Heritage Corpus for Entity-related Tasks

MonoByte: A Pool of Monolingual Byte-level Language Models

WikiHan: A New Comparative Dataset for Chinese Languages

Evons: A Dataset for Fake and Real News Virality Analysis and Prediction

Possible Stories: Evaluating Situated Commonsense Reasoning under Multiple Possible Scenarios

Extracting a Knowledge Base of COVID-19 Events from Social Media

InferES : A Natural Language Inference Corpus for Spanish Featuring Negation-Based Contrastive and Adversarial Examples

ESimCSE: Enhanced Sample Building Method for Contrastive Learning of Unsupervised Sentence Embedding

CSL: A Large-scale Chinese Scientific Literature Dataset

Modelling Commonsense Properties Using Pre-Trained Bi-Encoders

Knowledge Is Flat: A Seq2Seq Generative Framework for Various Knowledge Graph Completion

A Novel Multi-Task Learning Approach for Context-Sensitive Compound Type Identification in Sanskrit

Fast and Accurate End-to-End Span-based Semantic Role Labeling as Word-based Graph Parsing

Unsupervised Lexical Substitution with Decontextualised Embeddings

Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures inside Arguments

Detecting Suicide Risk in Online Counseling Services: A Study in a Low-Resource Language

Assessing Digital Language Support on a Global Scale

Persian Natural Language Inference: A Meta-learning Approach

Towards Multi-Sense Cross-Lingual Alignment of Contextual Embeddings

GraDA: Graph Generative Data Augmentation for Commonsense Reasoning

Don’t Judge a Language Model by Its Last Layer: Contrastive Learning with Layer-Wise Attention Pooling

DoubleMix: Simple Interpolation-Based Data Augmentation for Text Classification

MockingBERT: A Method for Retroactively Adding Resilience to NLP Models

Equivariant Transduction through Invariant Alignment

Classical Sequence Match Is a Competitive Few-Shot One-Class Learner

KNOT: Knowledge Distillation Using Optimal Transport for Solving NLP Tasks

An Information Minimization Based Contrastive Learning Model for Unsupervised Sentence Embeddings Learning

Reweighting Strategy Based on Synthetic Data Identification for Sentence Similarity

MaxMatch-Dropout: Subword Regularization for WordPiece

Smoothed Contrastive Learning for Unsupervised Sentence Embedding

Automatic Label Sequence Generation for Prompting Sequence-to-sequence Models

Unsupervised Sentence Textual Similarity with Compositional Phrase Semantics

On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation

Semantically Consistent Data Augmentation for Neural Machine Translation via Conditional Masked Language Model

Informative Language Representation Learning for Massively Multilingual Neural Machine Translation

Rare but Severe Neural Machine Translation Errors Induced by Minimal Deletion: An Empirical Study on Chinese and English

Improving Both Domain Robustness and Domain Adaptability in Machine Translation

Adapting to Non-Centered Languages for Zero-shot Multilingual Translation

SUN: Exploring Intrinsic Uncertainties in Text-to-SQL Parsers

The Fragility of Multi-Treebank Parsing Evaluation

FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition

Belief Revision Based Caption Re-ranker with Visual Semantic Information

How to Adapt Pre-trained Vision-and-Language Models to a Text-only Input?

SANCL: Multimodal Review Helpfulness Prediction with Selective Attention and Natural Contrastive Learning

Emergence of Hierarchical Reference Systems in Multi-agent Communication

Overcoming Language Priors in Visual Question Answering via Distinguishing Superficially Similar Instances

LOViS: Learning Orientation and Visual Signals for Vision and Language Navigation

CoLo: A Contrastive Learning Based Re-ranking Framework for One-Stage Summarization

Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story Generation

Multi-Figurative Language Generation

Benchmarking Compositionality with Formal Languages

How to Find Strong Summary Coherence Measures? A Toolbox and a Comparative Study for Summary Coherence Measure Evaluation

APPDIA: A Discourse-aware Transformer-based Style Transfer Model for Offensive Social Media Conversations

ArgLegalSumm: Improving Abstractive Summarization of Legal Documents with Argument Mining

Multi-Document Scientific Summarization from a Knowledge Graph-Centric View

GRETEL: Graph Contrastive Topic Enhanced Language Model for Long Document Extractive Summarization

PINEAPPLE: Personifying INanimate Entities by Acquiring Parallel Personification Data for Learning Enhanced Generation

Context-Tuning: Learning Contextualized Prompts for Natural Language Generation

Continuous Decomposition of Granularity for Neural Paraphrase Generation

An Efficient Coarse-to-Fine Facet-Aware Unsupervised Summarization Framework Based on Semantic Blocks

CHAE: Fine-Grained Controllable Story Generation with Characters, Actions and Emotions

On the Role of Pre-trained Language Models in Word Ordering: A Case Study with BART

Diversifying Neural Text Generation with Part-of-Speech Guided Softmax and Sampling

A Contrastive Cross-Channel Data Augmentation Framework for Aspect-Based Sentiment Analysis

A Multi-turn Machine Reading Comprehension Framework with Rethink Mechanism for Emotion-Cause Pair Extraction

Structural Bias for Aspect Sentiment Triplet Extraction

TSAM: A Two-Stream Attention Model for Causal Emotion Entailment

Natural Language Inference Prompts for Zero-shot Emotion Classification in Text across Corpora

CommunityLM: Probing Partisan Worldviews from Language Models

Joint Alignment of Multi-Task Feature and Label Spaces for Emotion Cause Pair Extraction

A Hierarchical Interactive Network for Joint Span-based Aspect-Sentiment Analysis

Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction

Mere Contrastive Learning for Cross-Domain Sentiment Analysis

Exploiting Sentiment and Common Sense for Zero-shot Stance Detection