一文速览 | ACL 2021 最全论文分类(主会+Findings) (2023)

作者简介:唐天一,中国人民大学高瓴人工智能学院硕士一年级,导师为赵鑫教授,研究方向为自然语言处理。

导读

ACL-IJCNLP 2021是CCF A类会议,是人工智能领域自然语言处理( Natural Language Processing,NLP)方向最权威的国际会议。计算语言学协会第59届年会暨第11届自然语言处理国际联席会议(The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL-IJCNLP 2021)计划于今年8月1日-8月6日以线上会议形式召开。本届ACL共计收到3350篇论文投稿,最终有21.3%的论文录用到主会,并额外接收了14.9%的论文到Findings子刊,综合录用率为36.2%,官方发布的接收论文列表:

其中主会接受了571篇长文,139篇短文,Findings接受了340篇长文,118篇短文,共计1168篇。上一篇文章中我们选取了571篇主会长文进行了分类整理:

本篇文章继续对139篇主会短文和458篇Findings长短文进行了分类整理。文章也同步发布在AI Box微信公众号(微信搜索「 RUC AI Box」),整理过程中难免有疏漏,欢迎大家在知乎专栏的文章下方评论留言,交流探讨!

对抗攻击和鲁棒性

主会短文

Improving Arabic Diacritization with Regularized Decoding and Adversarial Training

Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions

An Empirical Study on Adversarial Attack on NMT: Languages and Positions Matter

Using Adversarial Attacks to Reveal the Statistical Bias in Machine Reading Comprehension Models

Robust Transfer Learning with Pretrained Language Models through Adapters

Demoting the Lead Bias in News Summarization via Alternating Adversarial Learning

Findings长文

Empirical Error Modeling Improves Robustness of Noisy Neural Sequence Labeling

OutFlip: Generating Examples for Unknown Intent Detection with Natural Language Attack

Contrastive Fine-tuning Improves Robustness for Neural Rankers

Putting words into the system’s mouth: A targeted attack on neural machine translation using monolingual data poisoning

BERT-Defense: A Probabilistic Model Based on BERT to Combat Cognitively Inspired Orthographic Adversarial Attacks

A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial Examples

Defending Pre-trained Language Models from Adversarial Word Substitution Without Performance Sacrifice

Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification

BERT Busters: Outlier Dimensions that Disrupt Transformers

Synthesizing Adversarial Negative Responses for Robust Response Ranking and Evaluation

HIT - A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation

Findings短文

Decoupling Adversarial Training for Fair NLP

Better Robustness by More Coverage: Adversarial and Mixup Data Augmentation for Robust Finetuning

End-to-End Self-Debiasing Framework for Robust NLU Training

Manifold Adversarial Augmentation for Neural Machine Translation

道德与自然语言处理

主会短文

What’s in the Box? An Analysis of Undesirable Content in the Common Crawl Corpus

How effective is BERT without word ordering? Implications for language understanding and data privacy

Exposing the limits of Zero-shot Cross-lingual Hate Speech Detection

Using Adversarial Attacks to Reveal the Statistical Bias in Machine Reading Comprehension Models

Men Are Elected, Women Are Married: Events Gender Bias on Wikipedia

Gender bias amplification during Speed-Quality optimization in Neural Machine Translation

On Positivity Bias in Negative Reviews

Findings长文

The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification

Generate, Prune, Select: A Pipeline for Counterspeech Generation against Online Hate Speech

A Mixed-Method Design Approach for Empirically Based Selection of Unbiased Data Annotators

On the Interaction of Belief Bias and Explanations

Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification

How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation

On the Ethical Limits of Natural Language Processing on Legal Text

Differential Privacy for Text Analytics via Natural Text Sanitization

Analyzing Stereotypes in Generative Text Inference Tasks

Marked Attribute Bias in Natural Language Inference

Corpus-Level Evaluation for Event QA: The IndiaPoliceEvents Corpus Covering the 2002 Gujarat Violence

An Investigation of Suitability of Pre-Trained Language Models for Dialogue Generation – Avoiding Discrepancies

He is very intelligent, she is very beautiful? On Mitigating Social Biases in Language Modelling and Generation

On the Language Coverage Bias for Neural Machine Translation

John praised Mary because he? Implicit Causality Bias and Its Interaction with Explicit Cues in LMs

Findings短文

An Exploratory Analysis of the Relation between Offensive Language and Mental Health

Use of Formal Ethical Reviews in NLP Literature: Historical Trends and Current Practices

对话系统

主会短文

Saying No is An Art: Contextualized Fallback Responses for Unanswerable Dialogue Queries

Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialogue State Tracking

Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking

On the Generation of Medical Dialogs for COVID-19

Domain-Adaptive Pretraining Methods for Dialogue Understanding

Constructing Multi-Modal Dialogue Dataset by Replacing Text with Semantically Relevant Images

PRAL: A Tailored Pre-Training Model for Task-Oriented Dialog Generation

Unsupervised Enrichment of Persona-grounded Dialog with Background Stories

Findings长文

GoG: Relation-aware Graph-over-Graph Network for Visual Dialog

Multimodal Incremental Transformer with Visual Grounding for Visual Dialogue Generation

Retrieve & Memorize: Dialog Policy Learning with Multi-Action Memory

Dialogue in the Wild: Learning from a Deployed Role-Playing Game with Humans and Bots

Scheduled Dialog Policy Learning: An Automatic Curriculum Learning Framework for Task-oriented Dialog System

Survival text regression for time-to-event prediction in conversations

Unsupervised Knowledge Selection for Dialogue Generation

Exploring the Role of Context in Utterance-level Emotion, Act and Intent Classification in Conversations: An Empirical Study

HyKnow: End-to-End Task-Oriented Dialog Modeling with Hybrid Knowledge Management

Gaussian Process based Deep Dyna-Q approach for Dialogue Policy Learning

“Does it Matter When I Think You Are Lying?” Improving Deception Detection by Integrating Interlocutor’s Judgements in Conversations

High-Quality Dialogue Diversification by Intermittent Short Extension Ensembles

REAM$\sharp$: An Enhancement Approach to Reference-based Evaluation Metrics for Open-domain Dialog Generation

PLATO-2: Towards Building an Open-Domain Chatbot via Curriculum Learning

Dialogue-oriented Pre-training

Knowledge-Grounded Dialogue Generation with Term-level De-noising

Dialogue Graph Modeling for Conversational Machine Reading

An Investigation of Suitability of Pre-Trained Language Models for Dialogue Generation – Avoiding Discrepancies

Phrase-Level Action Reinforcement Learning for Neural Dialog Response Generation

Findings短文

Assessing Dialogue Systems with Distribution Distances

Summary Grounded Conversation Generation

Improving Automated Evaluation of Open Domain Dialog via Diverse Reference Augmentation

Constraint based Knowledge Base Distillation in End-to-End Task Oriented Dialogs

会话、语用与论证挖掘

主会短文

Input Representations for Parsing Discourse Representation Structures: Comparing English with Chinese

Don’t Let Discourse Confine Your Model: Sequence Perturbations for Improved Event Language Models

Findings长文

LUX (Linguistic aspects Under eXamination): Discourse Analysis for Automatic Fake News Classification

Counter-Argument Generation by Attacking Weak Premises

文本生成

主会短文

AligNarr: Aligning Narratives on Movies

Zero-shot Fact Verification by Claim Generation

Learning to Generate Task-Specific Adapters from Task Description

On Training Instance Selection for Few-Shot Neural Text Generation

How Helpful is Inverse Reinforcement Learning for Table-to-Text Generation?

Thank you BART! Rewarding Pre-Trained Models Improves Formality Style Transfer

Question Generation for Adaptive Education

Code Generation from Natural Language with Less Prior Knowledge and More Monolingual Data

Avoiding Overlap in Data Augmentation for AMR-to-Text Generation

Counterfactuals to Control Latent Disentangled Text Representations for Style Transfer

Findings长文

Generate, Prune, Select: A Pipeline for Counterspeech Generation against Online Hate Speech

Contrastive Attention for Automatic Chest X-ray Report Generation

Keep the Primary, Rewrite the Secondary: A Two-Stage Approach for Paraphrase Generation

CoMAE: A Multi-factor Hierarchical Framework for Empathetic Response Generation

Towards Knowledge-Grounded Counter Narrative Generation for Hate Speech

Promoting Graph Awareness in Linearized Graph-to-Text Generation

On-the-Fly Attention Modulation for Neural Generation

Detecting Hallucinated Content in Conditional Neural Sequence Generation

Pushing Paraphrase Away from Original Sentence: A Multi-Round Paraphrase Generation Approach

Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models

NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer

Automatic Document Sketching: Generating Drafts from Analogous Texts

Learning Shared Semantic Space for Speech-to-Text Translation

JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs

On Sparsifying Encoder Outputs in Sequence-to-Sequence Models

Provably Secure Generative Linguistic Steganography

Decoupled Dialogue Modeling and Semantic Parsing for Multi-Turn Text-to-SQL

IgSEG: Image-guided Story Ending Generation

Probabilistic Graph Reasoning for Natural Proof Generation

Detecting Bot-Generated Text by Characterizing Linguistic Accommodation in Human-Bot Interactions

ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language

LEWIS: Levenshtein Editing for Unsupervised Text Style Transfer

HySPA: Hybrid Span Generation for Scalable Text-to-Graph Extraction

Logic-Consistency Text Generation from Semantic Parses

Investigating Memorization of Conspiracy Theories in Text Generation

Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation

TILGAN: Transformer-based Implicit Latent GAN for Diverse and Coherent Text Generation

Generalized Supervised Attention for Text Generation

Findings短文

Structure-Aware Pre-Training for Table-to-Text Generation

Stylized Story Generation with Style-Guided Planning

Enhancing Language Generation with Effective Checkpoints of Pre-trained Language Model

Retrieval Enhanced Model for Commonsense Generation

Analysis of Tree-Structured Architectures for Code Generation

信息抽取

主会短文

TIMERS: Document-level Temporal Relation Extraction

(Video) "SG NLP: A New Home For Singapore NLP" Webinar (02 Sep, 2021)

ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction

Enhancing Entity Boundary Detection for Better Chinese Named Entity Recognition

Entity Enhancement for Implicit Discourse Relation Classification in the Biomedical Domain

Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking

Entity Concept-enhanced Few-shot Relation Extraction

Improving Model Generalization: A Chinese Named Entity Recognition Case Study

MOLEMAN: Mention-Only Linking of Entities with a Mention Annotation Network

Explicitly Capturing Relations between Entity Mentions via Graph Neural Networks for Domain-specific Named Entity Recognition

Zero-shot Event Extraction via Transfer Learning: Challenges and Insights

A Semantics-aware Transformer Model of Relation Linking for Knowledge Base Question Answering

Three Sentences Are All You Need: Local Path Enhanced Document Relation Extraction

Findings长文

Few-Shot Event Detection with Prototypical Amortized Conditional Random Field

From What to Why: Improving Relation Extraction with Rationale Graph

CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction

Link Prediction on N-ary Relational Facts: A Graph-based Approach

SIRE: Separate Intra- and Inter-sentential Reasoning for Document-level Relation Extraction

KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction

Cross-Lingual Transfer in Zero-Shot Cross-Language Entity Linking

A Dialogue-based Information Extraction System for Medical Insurance Assessment

UniKeyphrase: A Unified Extraction and Generation Framework for Keyphrase Prediction

OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding

Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction

MRN: A Locally and Globally Mention-Based Reasoning Network for Document-Level Relation Extraction

Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction

Target-oriented Fine-tuning for Zero-Resource Named Entity Recognition

Event Detection as Graph Parsing

Toward Fully Exploiting Heterogeneous Corpus: A Decoupled Named Entity Recognition Model with Two-stage Training

Discriminative Reasoning for Document-level Relation Extraction

Template-Based Named Entity Recognition Using BART

End-to-End Construction of NLP Knowledge Graph

Improving Event Causality Identification via Self-Supervised Representation Learning on External Causal Statement

Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection

Relation Extraction with Type-aware Map Memories of Word Dependencies

OKGIT: Open Knowledge Graph Link Prediction with Implicit Types

H-FND: Hierarchical False-Negative Denoising for Distant Supervision Relation Extraction

Paths to Relation Extraction through Semantic Structure

GrantRel: Grant Information Extraction via Joint Entity and Relation Extraction

Energy-based Unknown Intent Detection with Data Manipulation

Adjacency List Oriented Relational Fact Extraction via Adaptive Multi-task Learning

Effective Cascade Dual-Decoder Model for Joint Entity and Relation Extraction

Learning to Bridge Metric Spaces: Few-shot Joint Learning of Intent Detection and Slot Filling

Hyperbolic Temporal Knowledge Graph Embeddings with Relational and Time Curvatures

Towards Protecting Vital Healthcare Programs by Extracting Actionable Knowledge from Policy

Biomedical Interpretable Entity Representations

Transforming Term Extraction: Transformer-Based Approaches to Multilingual Term Extraction Across Domains

Named Entity Recognition through Deep Representation Learning and Weak Supervision

Multi-Task Learning and Adapted Knowledge Models for Emotion-Cause Extraction

The Utility and Interplay of Gazetteers and Entity Segmentation for Named Entity Recognition in English

Unsupervised Domain Adaptation for Event Detection using Domain-specific Adapters

Who Blames or Endorses Whom? Entity-to-Entity Directed Sentiment Extraction in News Text

MLMLM: Link Prediction with Mean Likelihood Masked Language Model

Constrained Labeled Data Generation for Low-Resource Named Entity Recognition

Automatic Construction of Sememe Knowledge Bases via Dictionaries

Named Entity Recognition via Noise Aware Training Mechanism with Data Filter

A Multi-Task Approach for Improving Biomedical Named Entity Recognition by Incorporating Multi-Granularity information

Findings短文

Relation Classification with Entity Type Restriction

Cross-Lingual Cross-Domain Nested Named Entity Evaluation on English Web Texts

Zero-shot Medical Entity Retrieval without Annotation: Learning From Rich Knowledge Graph Semantics

A Neural Edge-Editing Approach for Document-Level Relation Graph Extraction

Neural Entity Recognition with Gazetteer based Fusion

Multimodal Graph-based Transformer Framework for Biomedical Relation Extraction

Enhancing Dialogue-based Relation Extraction by Speaker and Trigger Words Prediction

信息检索与文本挖掘

主会短文

The Curse of Dense Low-Dimensional Information Retrieval for Large Index Sizes

Neural Retrieval for Question Answering with Cross-Attention Supervised Data Augmentation

Findings长文

Weakly Supervised Pre-Training for Multi-Hop Retriever

PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval

Self-Supervised Document Similarity Ranking via Contextualized Language Models and Hierarchical Inference

Synthesizing Adversarial Negative Responses for Robust Response Ranking and Evaluation

Findings短文

Retrieval Enhanced Model for Commonsense Generation

自然语言处理模型的可解释性与分析

主会短文

Attention Flows are Shapley Value Explanations

Is Sparse Attention more Interpretable?

Findings长文

Meet The Truth: Leverage Objective Facts and Subjective Views for Interpretable Rumor Detection

Enhancing Metaphor Detection by Gloss-based Interpretations

FrameNet-assisted Noun Compound Interpretation

Using surprisal and fMRI to map the neural bases of broad and local contextual prediction during natural language comprehension

Explaining NLP Models via Minimal Contrastive Editing (MiCE)

Findings短文

How Reliable are Model Diagnostics?

Do Language Models Perform Generalizable Commonsense Inference?

On the Lack of Robust Interpretability of Neural Text Classifiers

Effective Attention Sheds Light On Interpretability

How transfer learning impacts linguistic knowledge in deep NLP models?

语言模型

主会短文

Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling

The Case for Translation-Invariant Self-Attention in Transformer-Based Language Models

AND does not mean OR: Using Formal Languages to Study Language Models’ Representations

nmT5 - Is parallel data still relevant for pre-training massively multilingual language models?

Robust Transfer Learning with Pretrained Language Models through Adapters

Findings长文

REPT: Bridging Language Models and Machine Reading Comprehension via Retrieval-Based Pre-training

AMBERT: A Pre-trained Language Model with Multi-Grained Tokenization

Adapt-and-Distill: Developing Small, Fast and Effective Pretrained Language Models for Domains

As Good as New. How to Successfully Recycle English GPT-2 to Make Models for Other Languages

LICHEE: Improving Language Model Pre-training with Multi-grained Tokenization

K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters

Training ELECTRA Augmented with Multi-word Selection

MergeDistill: Merging Language Models using Pre-trained Distillation

Inspecting the concept knowledge graph encoded by modern language models

Probing Pre-Trained Language Models for Disease Knowledge

“We will Reduce Taxes” - Identifying Election Pledges with Language Models

Are Larger Pretrained Language Models Uniformly Better? Comparing Performance at the Instance Level

Learning to Sample Replacements for ELECTRA Pre-Training

Fingerprinting Fine-tuned Language Models in the Wild

Language Models Use Monotonicity to Assess NPI Licensing

Findings短文

More Parameters? No Thanks!

Error Detection in Large-Scale Natural Language Understanding Systems Using Transformer Models

Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions?

Modulating Language Models with Emotions

One Teacher is Enough? Pre-trained Language Model Distillation from Multiple Teachers

Task-adaptive Pre-training of Language Models with Word Embedding Regularization

词法

主会短文

A Mixture-of-Experts Model for Antonym-Synonym Discrimination

Findings长文

Hypernym Discovery via a Recurrent Mapping Model

语言理论、认知建模和心理语言学

Findings长文

Rationalization through Concepts

Enhanced Metaphor Detection via Incorporation of External Knowledge Based on Linguistic Theories

Detecting Harmful Memes and Their Targets

自然语言处理机器学习

主会短文

Parameter Selection: Why We Should Pay More Attention to It

Attentive Multiview Text Representation for Differential Diagnosis

Embedding Time Differences in Context-sensitive Neural Networks for Learning Time to Event

Unsupervised Cross-Domain Prerequisite Chain Learning using Variational Graph Autoencoders

Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning

Higher-order Derivatives of Weighted Finite-state Machines

On Orthogonality Constraints for Transformers

Continual Quality Estimation with Online Bayesian Meta-Learning

Relative Importance in Sentence Processing

Replicating and Extending ``Because Their Treebanks Leak’’: Graph Isomorphism, Covariants, and Parser Performance

VAULT: VAriable Unified Long Text Representation for Machine Reading Comprehension

DefSent: Sentence Embeddings using Definition Sentences

Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence

Learning to Solve NLP Tasks in an Incremental Number of Languages

Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations

nmT5 - Is parallel data still relevant for pre-training massively multilingual language models?

(Video) CRIM at SemEval-2018 Task 9: A Hybrid Approach to Hypernym Discovery (Research Paper Walkthrough)

Robust Transfer Learning with Pretrained Language Models through Adapters

Discrete Cosine Transform as Universal Sentence Encoder

A Cluster-based Approach for Improving Isotropy in Contextual Embedding Space

Findings长文

LV-BERT: Exploiting Layer Variety for BERT

Joint Optimization of Tokenization and Downstream Model

How does Attention Affect the Model?

RealFormer: Transformer Likes Residual Attention

A Survey of Data Augmentation Approaches for NLP

Out of Order: How important is the sequential order of words in a sentence in Natural Language Understanding tasks?

Minimax and Neyman-Pearson Meta-Learning for Outlier Languages

Incorporating Global Information in Local Attention for Knowledge Representation Learning

Documents Representation via Generalized Coupled Tensor Chain with the Rotation Group constraint

Bi-Granularity Contrastive Learning for Post-Training in Few-Shot Scene

A Query-Driven Topic Model

Language-Mediated, Object-Centric Representation Learning

Language-based General Action Template for Reinforcement Learning Agents

MiniLMv2: Multi-Head Self-Attention Relation Distillation for Compressing Pretrained Transformers

Attending via both Fine-tuning and Compressing

Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and Resources

On the Interplay Between Fine-tuning and Composition in Transformers

Lifelong Learning of Topics and Domain-Specific Word Embeddings

Graph Relational Topic Model with Higher-order Graph Attention Auto-encoders

Insertion-based Tree Decoding

Not Far Away, Not So Close: Sample Efficient Nearest Neighbour Data Augmentation via MiniMax

Perceptual Models of Machine-Edited Text

Memory-Efficient Differentiable Transformer Architecture Search

Disentangled Code Representation Learning for Multiple Programming Languages

Reordering Examples Helps during Priming-based Few-Shot Learning

Findings短文

More than just Frequency? Demasking Unsupervised Hypernymy Prediction Methods

Learning Slice-Aware Representations with Mixture of Attentions

RetroGAN: A Cyclic Post-Specialization System for Improving Out-of-Knowledge and Rare Word Representations

Fusion: Towards Automated ICD Coding via Feature Compression

MA-BERT: Learning Representation by Incorporating Multi-Attribute Knowledge in Transformers

Learning a Reversible Embedding Mapping using Bi-Directional Manifold Alignment

DoT: An efficient Double Transformer for NLP tasks with tables

Modeling the Unigram Distribution

Sequence Models for Computational Etymology of Borrowings

Benchmarking Neural Topic Models: An Empirical Study

BatchMixup: Improving Training by Interpolating Hidden States of the Entire Mini-batch

Knowledge Distillation for Quality Estimation

机器翻译与多语言

主会短文

BERTTune: Fine-Tuning Neural Machine Translation with BERTScore

Exposing the limits of Zero-shot Cross-lingual Hate Speech Detection

Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation

Improving Lexically Constrained Neural Machine Translation with Source-Conditioned Masked Span Prediction

Modeling Task-Aware MIMO Cardinality for Efficient Multilingual Neural Machine Translation

Adaptive Nearest Neighbor Machine Translation

Anchor-based Bilingual Word Embeddings for Low-Resource Languages

An Exploratory Analysis of Multilingual Word-Level Quality Estimation with Cross-Lingual Transformers

nmT5 - Is parallel data still relevant for pre-training massively multilingual language models?

Multilingual Agreement for Multilingual Neural Machine Translation

mTVR: Multilingual Moment Retrieval in Videos

Machine Translation into Low-resource Language Varieties

Don’t Rule Out Monolingual Speakers: A Method For Crowdsourcing Machine Translation Data

Findings长文

Fully Non-autoregressive Neural Machine Translation: Tricks of the Trade

XeroAlign: Zero-shot cross-lingual transformer alignment

Can Cognate Prediction Be Modelled as a Low-Resource Machine Translation Task?

Predicting cross-linguistic adjective order with information gain

Multi-Granularity Contrasting for Cross-Lingual Pre-Training

A Comparison between Pre-training and Large-scale Back-translation for Neural Machine Translation

Exploring Cross-Lingual Transfer Learning with Unsupervised Machine Translation

Pipeline Signed Japanese Translation Focusing on a Post-positional Particle Complement and Conjugation in a Low-resource Setting

Multi-Lingual Question Generation with Language Agnostic Language Model

Confidence-Aware Scheduled Sampling for Neural Machine Translation

Continual Mixed-Language Pre-Training for Extremely Low-Resource Neural Machine Translation

Two Parents, One Child: Dual Transfer for Low-Resource Neural Machine Translation

Combining Static Word Embeddings and Contextual Representations for Bilingual Lexicon Induction

Exploring Unsupervised Pretraining Objectives for Machine Translation

AugVic: Exploiting BiText Vicinity for Low-Resource NMT

Multilingual Translation from Denoising Pre-Training

Probing Multi-modal Machine Translation with Pre-trained Language Model

Investigating Transfer Learning in Multilingual Pre-trained Language Models through Chinese Natural Language Inference

Assessing the Syntactic Capabilities of Transformer-based Multilingual Language Models

On the Copying Behaviors of Pre-Training for Neural Machine Translation

XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages

Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalan

Findings短文

Encouraging Neural Machine Translation to Satisfy Terminology Constraints

Alternated Training with Synthetic and Authentic Data for Neural Machine Translation

Progressive Multi-Granularity Training for Non-Autoregressive Translation

Do Multilingual Neural Machine Translation Models Contain Language Pair Specific Attention Heads?

Language Tags Matter for Zero-Shot Neural Machine Translation

How Does Distilled Data Complexity Impact the Quality and Confidence of Non-Autoregressive Machine Translation?

As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical Translation

Multilingual Simultaneous Neural Machine Translation

Adapting Monolingual Models: Data can be Scarce when Language Similarity is High

自然语言处理应用

主会短文

Sequence to General Tree: Knowledge-Guided Geometry Word Problem Solving

Entity Enhancement for Implicit Discourse Relation Classification in the Biomedical Domain

Catchphrase: Automatic Detection of Cultural References

On the Generation of Medical Dialogs for COVID-19

Weakly-Supervised Methods for Suicide Risk Assessment: Role of Related Domains

Quantifying and Avoiding Unfair Qualification Labour in Crowdsourcing

Question Generation for Adaptive Education

Quotation Recommendation and Interpretation Based on Transformation from Queries to Quotations

Happy Dance, Slow Clap: Using Reaction GIFs to Predict Induced Affect on Twitter

Automatic Fake News Detection: Are Models Learning to Reason?

Findings长文

LUX (Linguistic aspects Under eXamination): Discourse Analysis for Automatic Fake News Classification

Medical Code Assignment with Gated Convolution and Note-Code Interaction

Learning Algebraic Recombination for Compositional Generalization

RevCore: Review-Augmented Conversational Recommendation

Adversary-Aware Rumor Detection

CiteWorth: Cite-Worthiness Detection for Improved Scientific Document Understanding

Deciphering Implicit Hate: Evaluating Automated Detection Algorithms for Multimodal Hate

Studying the Evolution of Scientific Topics and their Relationships

Trade the Event: Corporate Events Detection for News-Based Event-Driven Trading

A Multi-Level Attention Model for Evidence-Based Fact Checking

Multimodal Fusion with Co-Attention Networks for Fake News Detection

Automatic Text Simplification for Social Good: Progress and Challenges

When Time Makes Sense: A Historically-Aware Approach to Targeted Sense Disambiguation

Automatic Rephrasing of Transcripts-based Action Items

How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact

Biomedical Interpretable Entity Representations

Implications of Using Internet Sting Corpora to Approximate Underage Victims

Analyzing Online Political Advertisements

Constructing Flow Graphs from Procedural Cybersecurity Texts

A Formidable Ability: Detecting Adjectival Extremeness with DSMs

SMS Spam Detection Through Skip-gram Embeddings and Shallow Networks

Exploring Self-Identified Counseling Expertise in Online Support Forums

Using Social and Linguistic Information to Adapt Pretrained Representations for Political Perspective Identification

What Would a Teacher Do? Predicting Future Talk Moves

Findings短文

Using Word Embeddings to Analyze Teacher Evaluations: An Application to a Filipino Education Non-Profit Organization

Modeling the Influence of Verb Aspect on the Activation of Typical Event Locations with BERT

Few-Shot Upsampling for Protest Size Detection

Predicting in-hospital mortality by combining clinical notes with time-series data

Analyzing Code Embeddings for Coding Clinical Narratives

Characterizing Social Spambots by their Human Traits

音韵学、形态学和分词

主会短文

When is Char Better Than Subword: A Systematic Study of Segmentation Algorithms for Neural Machine Translation

More than Text: Multi-modal Chinese Word Segmentation

Findings长文

Handling Cross- and Out-of-Domain Samples in Thai Word Segmentation

Sensei: Self-Supervised Sensor Name Segmentation

IndoCollex: A Testbed for Morphological Transformation of Indonesian Word Colloquialism

How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation

Enhancing Chinese Word Segmentation via Pseudo Labels for Practicability

Findings短文

Better Chinese Sentence Segmentation with Reinforcement Learning

Federated Chinese Word Segmentation with Global Character Associations

问答

主会短文

Towards a more Robust Evaluation for Conversational Question Answering

Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints

Multi-Scale Progressive Attention Network for Video Question Answering

Efficient Passage Retrieval with Hashing for Open-domain Question Answering

Towards Visual Question Answering on Pathology Images

QA-Driven Zero-shot Slot Filling with Weak Supervision Pretraining

Towards more equitable question answering systems: How much more data do you need?

A Semantics-aware Transformer Model of Relation Linking for Knowledge Base Question Answering

Neural Retrieval for Question Answering with Cross-Attention Supervised Data Augmentation

Addressing Semantic Drift in Generative Question Answering with Auxiliary Extraction

In Factuality: Efficient Integration of Relevant Facts for Visual Question Answering

Findings长文

Deep Cognitive Reasoning Network for Multi-hop Question Answering over Knowledge Graphs

GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning

Dynamic Semantic Graph Construction and Reasoning for Explainable Multi-hop Science Question Answering

Do Explanations Help Users Detect Errors in Open-Domain QA? An Evaluation of Spoken vs. Visual Explanations

Controlling Text Edition by Changing Answers of Specific Questions

Learning to Generate Questions by Learning to Recover Answer-containing Sentences

Knowing More About Questions Can Help: Improving Calibration in Question Answering

Multi-Lingual Question Generation with Language Agnostic Language Model

Latent Reasoning for Low-Resource Question Generation

WeaQA: Weak Supervision via Captions for Visual Question Answering

Leveraging Abstract Meaning Representation for Knowledge Base Question Answering

Cluster-Former: Clustering-based Sparse Transformer for Question Answering

Findings短文

Reader-Guided Passage Reranking for Open-Domain Question Answering

Fusing Context Into Knowledge Graph for Commonsense Question Answering

Is Human Scoring the Best Criteria for Summary Evaluation?

Answer Generation for Retrieval-based Question Answering Systems

数据集、资源和评估

主会短文

DuReader_robust: A Chinese Dataset Towards Evaluating Robustness and Generalization of Machine Reading Comprehension in Real-World Applications

Targeting the Benchmark: On Methodology in Current Natural Language Processing Research

Towards a more Robust Evaluation for Conversational Question Answering

What Motivates You? Benchmarking Automatic Detection of Basic Needs from Short Posts

Constructing Multi-Modal Dialogue Dataset by Replacing Text with Semantically Relevant Images

WikiSum: Coherent Summarization Dataset for Efficient Human-Evaluation

OntoGUM: Evaluating Contextualized SOTA Coreference Resolution on 12 More Genres

Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents

Can Transformer Models Measure Coherence In Text: Re-Thinking the Shuffle Test

Difficulty-Aware Machine Translation Evaluation

X-Fact: A New Benchmark Dataset for Multilingual Fact Checking

Findings长文

WikiTableT: A Large-Scale Data-to-Text Dataset for Generating Wikipedia Article Sections

GLGE: A New General Language Generation Evaluation Benchmark

TellMeWhy: A Dataset for Answering Why-Questions in Narratives

COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences

SOLID: A Large-Scale Semi-Supervised Dataset for Offensive Language Identification

Addressing Inquiries about History: An Efficient and Practical Framework for Evaluating Open-domain Chatbot Consistency

Do Explanations Help Users Detect Errors in Open-Domain QA? An Evaluation of Spoken vs. Visual Explanations

GCRC: A New Challenging MRC Dataset from Gaokao Chinese for Explainable Evaluation

PsyQA: A Chinese Dataset for Generating Long Counseling Text for Mental Health Support

KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion

Deciphering Implicit Hate: Evaluating Automated Detection Algorithms for Multimodal Hate

An Evaluation of Disentangled Representation Learning for Texts

Evaluating Word Embeddings with Categorical Modularity

Entheos: A Multimodal Dataset for Studying Enthusiasm

GRICE: A Grammar-based Dataset for Recovering Implicature and Conversational rEasoning

P-Stance: A Large Dataset for Stance Detection in Political Domain

DocOIE: A Document-level Context-Aware Dataset for OpenIE

CONDA: a CONtextual Dual-Annotated dataset for in-game toxicity understanding and detection

REAM$\sharp$: An Enhancement Approach to Reference-based Evaluation Metrics for Open-domain Dialog Generation

GEM: A General Evaluation Benchmark for Multimodal Tasks

HacRED: A Large-Scale Relation Extraction Dataset Toward Hard Cases in Practical Applications

Disfl-QA: A Benchmark Dataset for Understanding Disfluencies in Question Answering

How well do you know your summarization datasets?

Substructure Substitution: Structured Data Augmentation for NLP

The interplay between language similarity and script on a novel multi-layer Algerian dialect corpus

Revisiting the Evaluation of End-to-end Event Extraction

Enhancing the Open-Domain Dialogue Evaluation in Latent Space

DocNLI: A Large-scale Dataset for Document-level Natural Language Inference

DialogSum: A Real-Life Scenario Dialogue Summarization Dataset

What Did You Refer to? Evaluating Co-References in Dialogue

Findings短文

CoDesc: A Large Code-Description Parallel Dataset

GO FIGURE: A Meta Evaluation of Factuality in Summarization

Benchmarking Robustness of Machine Reading Comprehension Models

Investigating Text Simplification Evaluation

Annotation and Evaluation of Coreference Resolution in Screenplays

Event Extraction from Historical Texts: A New Dataset for Black Rebellions

Is the Lottery Fair? Evaluating Winning Tickets Across Demographics

New Dataset and Strong Baselines for the Grammatical Error Correction of Russian

PSED: A Dataset for Selecting Emphasis in Presentation Slides

句子级语义和文本推理

主会短文

Doing Good or Doing Right? Exploring the Weakness of Commonsense Causal Reasoning Models

Measuring and Improving BERT’s Mathematical Abilities by Predicting the Order of Reasoning.

MedNLI Is Not Immune: Natural Language Inference Artifacts in the Clinical Domain

Enforcing Consistency in Weakly Supervised Semantic Parsing

Embracing Ambiguity: Shifting the Training Target of NLI Models

Exploring Listwise Evidence Reasoning with T5 for Fact Verification

Semantic Frame Induction using Masked Word Embeddings and Two-Step Clustering

Neural-Symbolic Commonsense Reasoner with Relation Predictors

Findings长文

Explainable Inference Over Grounding-Abstract Chains for Science Questions

SyGNS: A Systematic Generalization Testbed Based on Natural Language Semantics

Discovering Topics in Long-tailed Corpora with Causal Intervention

Enhancing Transformers with Gradient Boosted Decision Trees for NLI Fine-Tuning

GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning

Prediction or Comparison: Toward Interpretable Qualitative Reasoning

On Commonsense Cues in BERT for Solving Commonsense Tasks

Hashing based Efficient Inference for Image-Text Matching

RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge

Are Rotten Apples Edible? Challenging Commonsense Inference Ability with Exceptions

Improving Event Causality Identification via Self-Supervised Representation Learning on External Causal Statement

Learning Shared Semantic Space for Speech-to-Text Translation

Empowering Language Understanding with Counterfactual Reasoning

Joint Multi-Decoder Framework with Hierarchical Pointer Network for Frame Semantic Parsing

Understanding Feature Focus in Multitask Settings for Lexico-semantic Relation Identification

Latent Reasoning for Low-Resource Question Generation

Decoupled Dialogue Modeling and Semantic Parsing for Multi-Turn Text-to-SQL

Self-Supervised Document Similarity Ranking via Contextualized Language Models and Hierarchical Inference

It’s All in the Heads: Using Attention Heads as a Baseline for Cross-Lingual Transfer in Commonsense Reasoning

Investigating Transfer Learning in Multilingual Pre-trained Language Models through Chinese Natural Language Inference

Learning Contextualized Knowledge Structures for Commonsense Reasoning

Analyzing Stereotypes in Generative Text Inference Tasks

Prompting Contrastive Explanations for Commonsense Reasoning Tasks

Verb Sense Clustering using Contextualized Word Representations for Semantic Frame Induction

Inducing Semantic Roles Without Syntax

Modeling Event-Pair Relations in External Knowledge Graphs for Script Reasoning

PROST: Physical Reasoning about Objects through Space and Time

EBERT: Efficient BERT Inference with Dynamic Structured Pruning

Findings短文

Diagnosing Transformers in Task-Oriented Semantic Parsing

Zero-shot Medical Entity Retrieval without Annotation: Learning From Rich Knowledge Graph Semantics

Enhancing Zero-shot and Few-shot Stance Detection with Commonsense Knowledge Graph

Figurative Language in Recognizing Textual Entailment

On the Distribution, Sparsity, and Inference-time Quantization of Attention Values in Transformers

Rule-Aware Reinforcement Learning for Knowledge Graph Reasoning

Strong and Light Baseline Models for Fact-Checking Joint Inference

Could you give me a hint ? Generating inference graphs for defeasible reasoning

情感分析、文体分析

主会短文

Uncertainty and Surprisal Jointly Deliver the Punchline: Exploiting Incongruity-Based Features for Humor Recognition

Deep Context- and Relation-Aware Learning for Aspect-based Sentiment Analysis

Towards Generative Aspect-Based Sentiment Analysis

eMLM: A New Pre-training Objective for Emotion Related Tasks

Findings长文

DNN-driven Gradual Machine Learning for Aspect-term Sentiment Analysis

Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction

Leveraging Argumentation Knowledge Graph for Interactive Argument Pair Identification

Dynamic and Multi-Channel Graph Convolutional Networks for Aspect-Based Sentiment Analysis

Making Flexible Use of Subtasks: A Multiplex Interaction Network for Unified Aspect-based Sentiment Analysis

Detecting Domain Polarity-Changes of Words in a Sentiment Lexicon

A Text-Centered Shared-Private Framework via Cross-Modal Prediction for Multimodal Sentiment Analysis

Cross-Domain Review Generation for Aspect-Based Sentiment Analysis

Automatically Select Emotion for Response via Personality-affected Emotion Transition

Findings短文

Boundary Detection with BERT for Span-level Emotion Cause Analysis

Exploiting Position Bias for Robust Aspect Sentiment Classification

Jointly Identifying Rhetoric and Implicit Emotions via Multi-Task Learning

UserAdapter: Few-Shot User Learning in Sentiment Analysis

Minimally-Supervised Morphological Segmentation using Adaptor Grammars with Linguistic Priors

Leveraging Topic Relatedness for Argument Persuasion

语音与多模态

主会短文

Beyond Laurel/Yanny: An Autoencoder-Enabled Search for Polyperceivable Audio

Enhancing Descriptive Image Captioning with Natural Language Inference

Constructing Multi-Modal Dialogue Dataset by Replacing Text with Semantically Relevant Images

An Improved Model for Voicing Silent Speech

Lightweight Adapter Tuning for Multilingual Speech Translation

mTVR: Multilingual Moment Retrieval in Videos

UMIC: An Unreferenced Metric for Image Captioning via Contrastive Learning

N-Best ASR Transformer: Enhancing SLU Performance using Multiple ASR Hypotheses

Findings长文

Semantic Relation-aware Difference Representation Learning for Change Captioning

O2NA: An Object-Oriented Non-Autoregressive Approach for Controllable Video Captioning

Multimodal Incremental Transformer with Visual Grounding for Visual Dialogue Generation

GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning

Deep Learning against COVID-19: Respiratory Insufficiency Detection in Brazilian Portuguese Speech

Parallel Attention Network with Sequence Matching for Video Grounding

MusicBERT: Symbolic Music Understanding with Large-Scale Pre-Training

Deciphering Implicit Hate: Evaluating Automated Detection Algorithms for Multimodal Hate

Attention-based Contextual Language Model Adaptation for Speech Recognition

RealTranS: End-to-End Simultaneous Speech Translation with Convolutional Weighted-Shrinking Transformer

Learning Robust Latent Representations for Controllable Speech Synthesis

How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation

Probing Image-Language Transformers for Verb Understanding

Probing Multi-modal Machine Translation with Pre-trained Language Model

HySPA: Hybrid Span Generation for Scalable Text-to-Graph Extraction

Compositionality of Complex Graphemes in the Undeciphered Proto-Elamite Script using Image and Text Embedding Models

VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding

Plot and Rework: Modeling Storylines for Visual Storytelling

Automatic Speech Recognition in Sanskrit: A New Speech Corpus and Modelling Insights

Findings短文

Investigating the Reordering Capability in CTC-based Non-Autoregressive End-to-End Speech Translation

AdaST: Dynamically Adapting Encoder States in the Decoder for End-to-End Speech-to-Text Translation

Transformer-Exclusive Cross-Modal Representation for Vision and Language

Direct Simultaneous Speech-to-Text Translation Assisted by Synchronized Streaming ASR

文本摘要

主会短文

Video Paragraph Captioning as a Text Summarization Task

Reinforcement Learning for Abstractive Question Summarization with Question-aware Semantic Rewards

Demoting the Lead Bias in News Summarization via Alternating Adversarial Learning

SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization

Findings长文

Entity-Aware Abstractive Multi-Document Summarization

TransSum: Translating Aspect and Sentiment Embeddings for Self-Supervised Opinion Summarization

Code Summarization with Structure-induced Transformer

Improving Unsupervised Extractive Summarization with Facet-Aware Modeling

Contrastive Aligned Joint Learning for Multilingual Summarization

Learning Sequential and Structural Information for Source Code Summarization

A Joint Model for Structure-based News Genre Classification with Application to Text Summarization

To Point or Not to Point: Understanding How Abstractive Summarizers Paraphrase Text

AgreeSum: Agreement-Oriented Multi-Document Summarization

Generating Informative Conclusions for Argumentative Texts

A Non-Autoregressive Edit-Based Approach to Controllable Text Simplification

Word Graph Guided Summarization for Radiology Findings

Controllable Abstractive Dialogue Summarization with Sketch Supervision

Elaborative Simplification: Content Addition and Explanation Generation in Text Simplification

Findings短文

LenAtten: An Effective Length Controlling Unit For Text Summarization

Evaluating the Efficacy of Summarization Evaluation across Languages

Improve Query Focused Abstractive Summarization by Incorporating Answer Relevance

BioGen: Generating Biography Summary under Table Guidance on Wikipedia

Highlight-Transformer: Leveraging Key Phrase Aware Attention to Improve Abstractive Multi-Document Summarization

语法、标记和解析

主会短文

Exploration and Exploitation: Two Ways to Improve Chinese Spelling Correction Models

Coreference Resolution without Span Representations

A Simple Recipe for Multilingual Grammatical Error Correction

Unsupervised Pronoun Resolution via Masked Noun-Phrase Prediction

Findings长文

Spatial Dependency Parsing for Semi-Structured Document Information Extraction

Better Combine Them Together! Integrating Syntactic Constituency and Dependency Representations for Semantic Role Labeling

Read, Listen, and See: Leveraging Multimodal Information Helps Chinese Spell Checking

What if This Modified That? Syntactic Interventions with Counterfactual Embeddings

Awakening Latent Grounding from Pretrained Language Models for Semantic Parsing

Global Attention Decoder for Chinese Spelling Error Correction

Making Better Use of Bilingual Information for Cross-Lingual AMR Parsing

Neural Combinatory Constituency Parsing

Correcting Chinese Spelling Errors with Phonetic Pre-training

Dynamic Connected Networks for Chinese Spelling Check

ZmBART: An Unsupervised Cross-lingual Transfer Framework for Language Generation

BERT-Proof Syntactic Structures: Investigating Errors in Discontinuous Constituency Parsing

Representing Syntax and Composition with Geometric Transformations

Assessing the Syntactic Capabilities of Transformer-based Multilingual Language Models

Scaling Within Document Coreference to Long Texts

Effective Batching for Recurrent Neural Network Grammars

Findings短文

Improving BERT with Syntax-aware Local Attention

Frustratingly Simple Few-Shot Slot Tagging

Grammar-Constrained Neural Semantic Parsing with LR Parsers

Grammar-Based Patches Generation for Automated Program Repair

Injecting Knowledge Base Information into End-to-End Joint Entity and Relation Extraction and Coreference Resolution

Grammatical Error Correction as GAN-like Sequence Labeling

Minimally-Supervised Morphological Segmentation using Adaptor Grammars with Linguistic Priors

Do Grammatical Error Correction Models Realize Grammatical Generalization?

Domain-Aware Dependency Parsing for Questions

Climbing the Tower of Treebanks: Improving Low-Resource Dependency Parsing via Hierarchical Source Selection

Rule Augmented Unsupervised Constituency Parsing

Cross-document Coreference Resolution over Predicted Mentions

文本分类

主会短文

SaRoCo: Detecting Satire in a Novel Romanian Corpus of News Articles

Cross-lingual Text Classification with Heterogeneous Graph Neural Network

Improving Compositional Generalization in Classification Tasks via Structure Annotations

Distinct Label Representations for Few-Shot Text Classification

Issues with Entailment-based Zero-shot Text Classification

A Span-based Dynamic Local Attention Model for Sequential Sentence Classification

Findings长文

Enhancing Label Correlation Feedback in Multi-Label Text Classification via Multi-Task Learning

Unsupervised Energy-based Adversarial Domain Adaptation for Cross-domain Text Classification

Zero-shot Label-Aware Event Trigger and Argument Classification

Meta-Learning Adversarial Domain Adaptation Network for Few-Shot Text Classification

Improving Gradient-based Adversarial Training for Text Classification by Contrastive Learning and Auto-Encoder

Don’t Miss the Labels: Label-semantic Augmented Meta-Learner for Few-Shot Text Classification

On the Cost-Effectiveness of Stacking of Neural and Non-Neural Methods for Text Classification: Scenarios and Performance Prediction

Unsupervised Label Refinement Improves Dataless Text Classification

Findings短文

BertGCN: Transductive Text Classification by Combining GNN and BERT

Fusing Label Embedding into BERT: An Efficient Improvement for Text Classification

A Multi-Task Learning Framework for Multi-Target Stance Detection

SSMix: Saliency-Based Span Mixup for Text Classification

Learning Disentangled Latent Topics for Twitter Rumour Veracity Classification

Uncertainty Aware Review Hallucination for Science Article Classification

其他

Findings长文

Why Machine Reading Comprehension Models Learn Shortcuts?

Structured Refinement for Sequential Labeling

WIND: Weighting Instances Differentially for Model-Agnostic Domain Adaptation

Annotations Matter: Leveraging Multi-task Learning to Parse UD and SUD

Hierarchical Task Learning from Language Instructions with Unified Transformers and Self-Monitoring

Grounding ‘Grounding’ in NLP

Semi-Supervised Data Programming with Subset Selection

Slot Transferability for Cross-domain Slot Filling

Findings短文

Can the Transformer Learn Nested Recursion with Symbol Masking?

On the Gap between Adoption and Understanding in NLP

Do It Once: An Embarrassingly Simple Joint Matching Approach to Response Selection

Beyond Metadata: What Paper Authors Say About Corpora They Use

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