一文速覽 | ACL 2021 主會571篇長文分類彙總
作者：唐天一
轉載自：RUC AI Box
原文連結：
導讀
ACL-IJCNLP 2021是CCF A類會議，是人工智慧領域自然語言處理（ Natural Language Processing，NLP）方向最權威的國際會議。計算語言學協會第59屆年會暨第11屆自然語言處理國際聯席會議（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）計劃於今年8月1日-8月6日以線上會議形式召開。本屆ACL共計收到3350篇論文投稿，最終有21。3%的論文錄用到主會，並額外接收了14。9%的論文到Findings子刊，綜合錄用率為36。2%，官方釋出的接收論文列表：
https：//
2021。aclweb。org/program
/accept/
對抗攻擊和魯棒性
Defense against Synonym Substitution-based Adversarial Attacks via Dirichlet Neighborhood Ensemble
A Sweet Rabbit Hole by DARCY： Using Honeypots to Detect Universal Trigger’s Adversarial Attacks
Crafting Adversarial Examples for Neural Machine Translation
Adversarial Learning for Discourse Rhetorical Structure Parsing
Reliability Testing for Natural Language Processing Systems
Robust Knowledge Graph Completion with Stacked Convolutions and a Student Re-Ranking Network
Towards Robustness of Text-to-SQL Models against Synonym Substitution
Robustness Testing of Language Understanding in Task-Oriented Dialog
Rethinking Stealthiness of Backdoor Attack against NLP Models
Turn the Combination Lock： Learnable Textual Backdoor Attacks via Word Substitution
Improving Paraphrase Detection with the Adversarial Paraphrasing Task
MATE-KD： Masked Adversarial TExt， a Companion to Knowledge Distillation
On the Efficacy of Adversarial Data Collection for Question Answering： Results from a Large-Scale Randomized Study
Hidden Killer： Invisible Textual Backdoor Attacks with Syntactic Trigger
WARP： Word-level Adversarial ReProgramming
道德與自然語言處理
Ruddit： Norms of Offensiveness for English Reddit Comments
Learning Language and Multimodal Privacy-Preserving Markers of Mood from Mobile Data
A Human-machine Collaborative Framework for Evaluating Malevolence in Dialogues
Structurizing Misinformation Stories via Rationalizing Fact-Checks
Mitigating Bias in Session-based Cyberbullying Detection： A Non-Compromising Approach
Can Sequence-to-Sequence Models Crack Substitution Ciphers？
Societal Biases in Language Generation： Progress and Challenges
Controversy and Conformity： from Generalized to Personalized Aggressiveness Detection
Bad Seeds： Evaluating Lexical Methods for Bias Measurement
Understanding and Countering Stereotypes： A Computational Approach to the Stereotype Content Model
A Survey of Race， Racism， and Anti-Racism in NLP
Examining the Inductive Bias of Neural Language Models with Artificial Languages
Changing the World by Changing the Data
Stereotyping Norwegian Salmon： An Inventory of Pitfalls in Fairness Benchmark Datasets
Breaking Down Walls of Text： How Can NLP Benefit Consumer Privacy？
StereoSet： Measuring stereotypical bias in pretrained language models
Privacy at Scale： Introducing the PrivaSeer Corpus of Web Privacy Policies
Intrinsic Bias Metrics Do Not Correlate with Application Bias
Annotating Online Misogyny
對話系統
TicketTalk： Toward human-level performance with end-to-end， transaction-based dialog systems
HERALD： An Annotation Efficient Method to Detect User Disengagement in Social Conversations
Comprehensive Study： How the Context Information of Different Granularity Affects Dialogue State Tracking？
Maria： A Visual Experience Powered Conversational Agent
Discovering Dialog Structure Graph for Coherent Dialog Generation
Dialogue Response Selection with Hierarchical Curriculum Learning
Diversifying Dialog Generation via Adaptive Label Smoothing
BoB： BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data
Using Meta-Knowledge Mined from Identifiers to Improve Intent Recognition in Conversational Systems
I like fish， especially dolphins： Addressing Contradictions in Dialogue Modeling
A Human-machine Collaborative Framework for Evaluating Malevolence in Dialogues
A Sequence-to-Sequence Approach to Dialogue State Tracking
Generating Relevant and Coherent Dialogue Responses using Self-Separated Conditional Variational AutoEncoders
Intent Classification and Slot Filling for Privacy Policies
Dual Slot Selector via Local Reliability Verification for Dialogue State Tracking
Learning from Perturbations： Diverse and Informative Dialogue Generation with Inverse Adversarial Training
Modeling Bilingual Conversational Characteristics for Neural Chat Translation
Novel Slot Detection： A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System
RADDLE： An Evaluation Benchmark and Analysis Platform for Robust Task-oriented Dialog Systems
Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection
Learning to Ask Conversational Questions by Optimizing Levenshtein Distance
MPC-BERT： A Pre-Trained Language Model for Multi-Party Conversation Understanding
Conversations Are Not Flat： Modeling the Dynamic Information Flow across Dialogue Utterances
Towards Emotional Support Dialog Systems
Discovering Dialogue Slots with Weak Supervision
Structural Pre-training for Dialogue Comprehension
NeuralWOZ： Learning to Collect Task-Oriented Dialogue via Model-Based Simulation
Space Efficient Context Encoding for Non-Task-Oriented Dialogue Generation with Graph Attention Transformer
RedditBias： A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models
Transferable Dialogue Systems and User Simulators
A Pre-training Strategy for Zero-Resource Response Selection in Knowledge-Grounded Conversations
Improving Dialog Systems for Negotiation with Personality Modeling
OTTers： One-turn Topic Transitions for Open-Domain Dialogue
Increasing Faithfulness in Knowledge-Grounded Dialogue with Controllable Features
The R-U-A-Robot Dataset： Helping Avoid Chatbot Deception by Detecting User Questions About Human or Non-Human Identity
GTM： A Generative Triple-wise Model for Conversational Question Generation
Measuring Conversational Uptake： A Case Study on Student-Teacher Interactions
會話、語用與論證挖掘
A Joint Model for Dropped Pronoun Recovery and Conversational Discourse Parsing in Chinese Conversational Speech
A Neural Transition-based Model for Argumentation Mining
Towards Argument Mining for Social Good： A Survey
W-RST： Towards a Weighted RST-style Discourse Framework
ConvoSumm： Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Mining
Modeling Language Usage and Listener Engagement in Podcasts
Exploring Discourse Structures for Argument Impact Classification
文字生成
Generalising Multilingual Concept-to-Text NLG with Language Agnostic Delexicalisation
Prefix-Tuning： Optimizing Continuous Prompts for Generation
Polyjuice： Generating Counterfactuals for Explaining， Evaluating， and Improving Models
Competence-based Multimodal Curriculum Learning for Medical Report Generation
Conditional Generation of Temporally-ordered Event Sequences
BACO： A Background Knowledge- and Content-Based Framework for Citing Sentence Generation
Mention Flags （MF）： Constraining Transformer-based Text Generators
Improving Encoder by Auxiliary Supervision Tasks for Table-to-Text Generation
Writing by Memorizing： Hierarchical Retrieval-based Medical Report Generation
GhostBERT： Generate More Features with Cheap Operations for BERT
Factorising Meaning and Form for Intent-Preserving Paraphrasing
Improving Formality Style Transfer with Context-Aware Rule Injection
DeepRapper： Neural Rap Generation with Rhyme and Rhythm Modeling
Generating Landmark Navigation Instructions from Maps as a Graph-to-Text Problem
Neural Stylistic Response Generation with Disentangled Latent Variables
One2Set： Generating Diverse Keyphrases as a Set
Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization
Data Augmentation for Text Generation Without Any Augmented Data
Long Text Generation by Modeling Sentence-Level and Discourse-Level Coherence
Exploring Dynamic Selection of Branch Expansion Orders for Code Generation
A Unified Generative Framework for Various NER Subtasks
UNIMO： Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning
Cross-modal Memory Networks for Radiology Report Generation
Transfer Learning for Sequence Generation： from Single-source to Multi-source
BERTGen： Multi-task Generation through BERT
De-Confounded Variational Encoder-Decoder for Logical Table-to-Text Generation
TWAG： A Topic-Guided Wikipedia Abstract Generator
Capturing Relations between Scientific Papers： An Abstractive Model for Related Work Section Generation
POS-Constrained Parallel Decoding for Non-autoregressive Generation
Bridging Subword Gaps in Pretrain-Finetune Paradigm for Natural Language Generation
AggGen： Ordering and Aggregating while Generating
AugNLG： Few-shot Natural Language Generation using Self-trained Data Augmentation
Metaphor Generation with Conceptual Mappings
Engage the Public： Poll Question Generation for Social Media Posts
PlotCoder： Hierarchical Decoding for Synthesizing Visualization Code in Programmatic Context
From Machine Translation to Code-Switching： Generating High-Quality Code-Switched Text
Reflective Decoding： Beyond Unidirectional Generation with Off-the-Shelf Language Models
Lexicon Learning for Few Shot Sequence Modeling
Employing Argumentation Knowledge Graphs for Neural Argument Generation
Continuous Language Generative Flow
Select， Extract and Generate： Neural Keyphrase Generation with Layer-wise Coverage Attention
Automated Generation of Storytelling Vocabulary from Photographs for use in AAC
DESCGEN： A Distantly Supervised Datasetfor Generating Entity Descriptions
Learning to Explain： Generating Stable Explanations Fast
KaggleDBQA： Realistic Evaluation of Text-to-SQL ParsersA Hierarchical VAE for Calibrating Attributes while Generating Text using Normalizing Flow
DYPLOC： Dynamic Planning of Content Using Mixed Language Models for Text Generation
Controllable Open-ended Question Generation with A New Question Type Ontology
Generating SOAP Notes from Doctor-Patient Conversations Using Modular Summarization Techniques
DExperts： Decoding-Time Controlled Text Generation with Experts and Anti-Experts
LGESQL： Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relations
Towards Table-to-Text Generation with Numerical Reasoning
TGEA： An Error-Annotated Dataset and Benchmark Tasks for TextGeneration from Pretrained Language Models
資訊抽取
SocAoG： Incremental Graph Parsing for Social Relation Inference in Dialogues
Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data
Locate and Label： A Two-stage Identifier for Nested Named Entity Recognition
OntoED： Low-resource Event Detection with Ontology Embedding
ProtAugment： Intent Detection Meta-Learning through Unsupervised Diverse Paraphrasing
Subsequence Based Deep Active Learning for Named Entity Recognition
BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition
Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker
A Large-Scale Chinese Multimodal NER Dataset with Speech Clues
Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training
Position Bias Mitigation： A Knowledge-Aware Graph Model for Emotion Cause Extraction
TextSETTR： Few-Shot Text Style Extraction and Tunable Targeted Restyling
ERICA： Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning
CIL： Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction
A Knowledge-Guided Framework for Frame Identification
SENT： Sentence-level Distant Relation Extraction via Negative Training
Modularized Interaction Network for Named Entity Recognition
Capturing Event Argument Interaction via A Bi-Directional Entity-Level Recurrent Decoder
Robust Knowledge Graph Completion with Stacked Convolutions and a Student Re-Ranking Network
A Span-Based Model for Joint Overlapped and Discontinuous Named Entity Recognition
An End-to-End Progressive Multi-Task Learning Framework for Medical Named Entity Recognition and Normalization
MLBiNet： A Cross-Sentence Collective Event Detection Network
PRGC： Potential Relation and Global Correspondence Based Joint Relational Triple Extraction
Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning
PairRE： Knowledge Graph Embeddings via Paired Relation Vectors
Leveraging Type Descriptions for Zero-shot Named Entity Recognition and Classification
Revisiting the Negative Data of Distantly Supervised Relation Extraction
Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition
Knowing the No-match： Entity Alignment with Dangling Cases
Argument Pair Extraction via Attention-guided Multi-Layer Multi-Cross Encoding
A Systematic Investigation of KB-Text Embedding Alignment at Scale
Nested Named Entity Recognition via Explicitly Excluding the Influence of the Best Path
Bridge-Based Active Domain Adaptation for Aspect Term Extraction
How Knowledge Graph and Attention Help？ A Qualitative Analysis into Bag-level Relation Extraction
From Discourse to Narrative： Knowledge Projection for Event Relation Extraction
Fine-grained Information Extraction from Biomedical Literature based on Knowledge-enriched Abstract Meaning Representation
COVID-Fact： Fact Extraction and Verification of Real-World Claims on COVID-19 Pandemic
MECT： Multi-Metadata Embedding based Cross-Transformer for Chinese Named Entity Recognition
Are Missing Links Predictable？ An Inferential Benchmark for Knowledge Graph Completion
Unleash GPT-2 Power for Event Detection
Trigger is Not Sufficient： Exploiting Frame-aware Knowledge for Implicit Event Argument Extraction
Element Intervention for Open Relation Extraction
Text2Event： Controllable Sequence-to-Structure Generation for End-to-end Event Extraction
CLEVE： Contrastive Pre-training for Event Extraction
De-biasing Distantly Supervised Named Entity Recognition via Causal Intervention
Ultra-Fine Entity Typing with Weak Supervision from a Masked Language Model
UniRE： A Unified Label Space for Entity Relation Extraction
Crowdsourcing Learning as Domain Adaptation： A Case Study on Named Entity Recognition
StereoRel： Relational Triple Extraction from a Stereoscopic Perspective
AdaTag： Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding
CoRI： Collective Relation Integration with Data Augmentation for Open Information Extraction
CitationIE： Leveraging the Citation Graph for Scientific Information Extraction
Learning Latent Structures for Cross Action Phrase Relations in Wet Lab Protocols
GL-GIN： Fast and Accurate Non-Autoregressive Model for Joint Multiple Intent Detection and Slot Filling
Dependency-driven Relation Extraction with Attentive Graph Convolutional Networks
Discontinuous Named Entity Recognition as Maximal Clique Discovery
Weakly Supervised Named Entity Tagging with Learnable Logical Rules
SpanNER： Named Entity Re-/Recognition as Span Prediction
LNN-EL： A Neuro-Symbolic Approach to Short-text Entity Linking
Refining Sample Embeddings with Relation Prototypes to Enhance Continual Relation Extraction
Aspect-Category-Opinion-Sentiment Quadruple Extraction with Implicit Aspects and Opinions
Document-level Event Extraction via Parallel Prediction Networks
AdvPicker： Effectively Leveraging Unlabeled Data via Adversarial Discriminator for Cross-Lingual NER
Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction
The Possible， the Plausible， and the Desirable： Event-Based Modality Detection for Language Processing
A Neural Transition-based Joint Model for Disease Named Entity Recognition and Normalization
Interpretable and Low-Resource Entity Matching via Decoupling Feature Learning from Decision Making
資訊檢索與文字挖掘
Joint Verification and Reranking for Open Fact Checking Over Tables
CDRNN： Discovering Complex Dynamics in Human Language Processing
Few-Shot Text Ranking with Meta Adapted Synthetic Weak Supervision
Database reasoning over text
Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval
SMedBERT： A Knowledge-Enhanced Pre-trained Language Model with Structured Semantics for Medical Text Mining
Investigating label suggestions for opinion mining in German Covid-19 social media
Article Reranking by Memory-Enhanced Key Sentence Matching for Detecting Previously Fact-Checked Claims
CCMatrix： Mining Billions of High-Quality Parallel Sentences on the Web
Anonymisation Models for Text Data： State of the art， Challenges and Future Directions
Multi-Task Retrieval for Knowledge-Intensive Tasks
Evaluating Entity Disambiguation and the Role of Popularity in Retrieval-Based NLP
Learning Relation Alignment for Calibrated Cross-modal Retrieval
自然語言處理模型的可解釋性與分析
Polyjuice： Generating Counterfactuals for Explaining， Evaluating， and Improving Models
R2D2： Recursive Transformer based on Differentiable Tree for Interpretable Hierarchical Language Modeling
IrEne： Interpretable Energy Prediction for Transformers
Convolutions and Self-Attention： Re-interpreting Relative Positions in Pre-trained Language Models
Personalized Transformer for Explainable Recommendation
Unified Interpretation of Softmax Cross-Entropy and Negative Sampling： With Case Study for Knowledge Graph Embedding
Introducing Orthogonal Constraint in Structural Probes
Explaining Contextualization in Language Models using Visual Analytics
Cross-replication Reliability - An Empirical Approach to Interpreting Inter-rater Reliability
語言模型
Meta-KD： A Meta Knowledge Distillation Framework for Language Model Compression across Domains
Super Tickets in Pre-Trained Language Models： From Model Compression to Improving Generalization
EnsLM： Ensemble Language Model for Data Diversity by Semantic Clustering
StructFormer： Joint Unsupervised Induction of Dependency and Constituency Structure from Masked Language Modeling
Implicit Representations of Meaning in Neural Language Models
BinaryBERT： Pushing the Limit of BERT Quantization
A Cognitive Regularizer for Language Modeling
Shortformer： Better Language Modeling using Shorter Inputs
Making Pre-trained Language Models Better Few-shot Learners
ChineseBERT： Chinese Pretraining Enhanced by Glyph and Pinyin Information
ERNIE-Doc： A Retrospective Long-Document Modeling Transformer
Probing Toxic Content in Large Pre-Trained Language Models
Positional Artefacts Propagate Through Masked Language Model Embeddings
Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-Tuning
When Do You Need Billions of Words of Pretraining Data？
Knowledgeable or Educated Guess？ Revisiting Language Models as Knowledge Bases
SMedBERT： A Knowledge-Enhanced Pre-trained Language Model with Structured Semantics for Medical Text Mining
Structural Guidance for Transformer Language Models
Language Model as an Annotator： Exploring DialoGPT for Dialogue Summarization
Ultra-Fine Entity Typing with Weak Supervision from a Masked Language Model
Can Generative Pre-trained Language Models Serve As Knowledge Bases for Closed-book QA？
On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation
RedditBias： A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models
Taming Pre-trained Language Models with N-gram Representations for Low-Resource Domain Adaptation
What Context Features Can Transformer Language Models Use？
LexFit： Lexical Fine-Tuning of Pretrained Language Models
Selecting Informative Contexts Improves Language Model Fine-tuning
BERT is to NLP what AlexNet is to CV： Can Pre-Trained Language Models Identify Analogies？
Examining the Inductive Bias of Neural Language Models with Artificial Languages
Changing the World by Changing the Data
A Targeted Assessment of Incremental Processing in Neural Language Models and Humans
Language Model Augmented Relevance Score
StructuralLM： Structural Pre-training for Form Understanding
BERTAC： Enhancing Transformer-based Language Models with Adversarially Pretrained Convolutional Neural Networks
Exploiting Language Relatedness for Low Web-Resource Language Model Adaptation： An Indic Languages Study
Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators
詞法
Generalising Multilingual Concept-to-Text NLG with Language Agnostic Delexicalisation
Word Sense Disambiguation： Towards Interactive Context Exploitation from Both Word and Sense Perspectives
ADEPT： An Adjective-Dependent Plausibility Task
RAW-C： Relatedness of Ambiguous Words in Context （A New Lexical Resource for English）
Lexical Semantic Change Discovery
Bad Seeds： Evaluating Lexical Methods for Bias Measurement
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation
Neural Bi-Lexicalized PCFG Induction
語言理論、認知建模和心理語言學
Unified Dual-view Cognitive Model for Interpretable Claim Verification
Psycholinguistic Tripartite Graph Network for Personality Detection
Supporting Cognitive and Emotional Empathic Writing of Students
CogAlign： Learning to Align Textual Neural Representations to Cognitive Language Processing Signals
Detecting Propaganda Techniques in Memes
Lower Perplexity is Not Always Human-Like
Understanding and Countering Stereotypes： A Computational Approach to the Stereotype Content Model
Meta-Learning to Compositionally Generalize
A Survey of Code-switching： Linguistic and Social Perspectives for Language Technologies
自然語言處理機器學習
Meta-KD： A Meta Knowledge Distillation Framework for Language Model Compression across Domains
DeCLUTR： Deep Contrastive Learning for Unsupervised Textual Representations
Unsupervised Extractive Summarization-Based Representations for Accurate and Explainable Collaborative Filtering
ProtAugment： Intent Detection Meta-Learning through Unsupervised Diverse Paraphrasing
Automated Concatenation of Embeddings for Structured Prediction
Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval
The Art of Abstention： Selective Prediction and Error Regularization for Natural Language Processing
Structural Knowledge Distillation： Tractably Distilling Information for Structured Predictor
N-ary Constituent Tree Parsing with Recursive Semi-Markov Model
Matching Distributions between Model and Data： Cross-domain Knowledge Distillation for Unsupervised Domain Adaptation
Parameter-Efficient Transfer Learning with Diff Pruning
Self-Attention Networks Can Process Bounded Hierarchical Languages
Are Pretrained Convolutions Better than Pretrained Transformers？
Lightweight Cross-Lingual Sentence Representation Learning
LeeBERT： Learned Early Exit for BERT with cross-level optimization
On Finding the K-best Non-projective Dependency Trees
ConSERT： A Contrastive Framework for Self-Supervised Sentence Representation Transfer
Learning Dense Representations of Phrases at Scale
Rational LAMOL： A Rationale-based Lifelong Learning Framework
Dynamic Contextualized Word Embeddings
Bird’s Eye： Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach
Unsupervised Out-of-Domain Detection via Pre-trained Transformers
Weight Distillation： Transferring the Knowledge in Neural Network Parameters
A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations
Determinantal Beam Search
Self-Guided Contrastive Learning for BERT Sentence Representations
Pre-training Universal Language Representation
Tree-Structured Topic Modeling with Nonparametric Neural Variational Inference
Cascaded Head-colliding Attention
Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks
AutoTinyBERT： Automatic Hyper-parameter Optimization for Efficient Pre-trained Language Models
Integrated Directional Gradients： Feature Interaction Attribution for Neural NLP Models
Marginal Utility Diminishes： Exploring the Minimum Knowledge for BERT Knowledge Distillation
Obtaining Better Static Word Embeddings Using Contextual Embedding Models
Best of Both Worlds： Making High Accuracy Non-incremental Transformer-based Disfluency Detection Incremental
Reservoir Transformers
Uncovering Constraint-Based Behavior in Neural Models via Targeted Fine-Tuning
TAN-NTM： Topic Attention Networks for Neural Topic Modeling
Modeling Fine-Grained Entity Types with Box Embeddings
An Empirical Study on Hyperparameter Optimization for Fine-Tuning Pre-trained Language Models
HiddenCut： Simple Data Augmentation for Natural Language Understanding with Better Generalizability
Regression Bugs Are In Your Model！ Measuring， Reducing and Analyzing Regressions In NLP Model Updates
ReadOnce Transformers： Reusable Representations of Text for Transformers
Automatic ICD Coding via Interactive Shared Representation Networks with Self-distillation Mechanism
Bootstrapped Unsupervised Sentence Representation Learning
Risk Minimization for Zero-shot Sequence Labeling
Exploring Distantly-Labeled Rationales in Neural Network Models
Length-Adaptive Transformer： Train Once with Length Drop， Use Anytime with Search
H-Transformer-1D： Fast One-Dimensional Hierarchical Attention for Sequences
機器翻譯與多語言
How Good is Your Tokenizer？ On the Monolingual Performance of Multilingual Language Models
Cross-Lingual Abstractive Summarization with Limited Parallel Resources
Rewriter-Evaluator Architecture for Neural Machine Translation
SemFace： Pre-training Encoder and Decoder with a Semantic Interface for Neural Machine Translation
Consistency Regularization for Cross-Lingual Fine-Tuning
Improving Pretrained Cross-Lingual Language Models via Self-Labeled Word Alignment
Improving Zero-Shot Translation by Disentangling Positional Information
Fast and Accurate Neural Machine Translation with Translation Memory
Multi-Head Highly Parallelized LSTM Decoder for Neural Machine Translation
COSY： COunterfactual SYntax for Cross-Lingual Understanding
A Bidirectional Transformer Based Alignment Model for Unsupervised Word Alignment
Beyond Offline Mapping： Learning Cross-lingual Word Embeddings through Context Anchoring
Breaking the Corpus Bottleneck for Context-Aware Neural Machine Translation with Cross-Task Pre-training
Contributions of Transformer Attention Heads in Multi- and Cross-lingual Tasks
Verb Knowledge Injection for Multilingual Event Processing
Common Sense Beyond English： Evaluating and Improving Multilingual Language Models for Commonsense Reasoning
Point， Disambiguate and Copy： Incorporating Bilingual Dictionaries for Neural Machine Translation
VECO： Variable and Flexible Cross-lingual Pre-training for Language Understanding and Generation
Bilingual Lexicon Induction via Unsupervised Bitext Construction and Word Alignment
Importance-based Neuron Allocation for Multilingual Neural Machine Translation
Neural Machine Translation with Monolingual Translation Memory
VoxPopuli： A Large-Scale Multilingual Speech Corpus for Representation Learning， Semi-Supervised Learning and Interpretation
G-Transformer for Document-Level Machine Translation
Prevent the Language Model from being Overconfident in Neural Machine Translation
Energy-Based Reranking： Improving Neural Machine Translation Using Energy-Based Models
On Compositional Generalization of Neural Machine Translation
Mask-Align： Self-Supervised Neural Word Alignment
GWLAN： General Word-Level AutocompletioN for Computer-Aided Translation
Selective Knowledge Distillation for Neural Machine Translation
Mid-Air Hand Gestures for Post-Editing of Machine Translation
Towards User-Driven Neural Machine Translation
XLPT-AMR： Cross-Lingual Pre-Training via Multi-Task Learning for Zero-Shot AMR Parsing and Text Generation
Contrastive Learning for Many-to-many Multilingual Neural Machine Translation
Understanding the Properties of Minimum Bayes Risk Decoding in Neural Machine Translation
MulDA： A Multilingual Data Augmentation Framework for Low-Resource Cross-Lingual NER
Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine Translation
Attention Calibration for Transformer in Neural Machine Translation
Analyzing the Source and Target Contributions to Predictions in Neural Machine Translation
Learning Language Specific Sub-network for Multilingual Machine Translation
UXLA： A Robust Unsupervised Data Augmentation Framework for Cross-Lingual NLP
Multi-View Cross-Lingual Structured Prediction with Minimum Supervision
A Closer Look at Few-Shot Crosslingual Transfer： The Choice of Shots Matters
Cross-language Sentence Selection via Data Augmentation and Rationale Training
Unsupervised Neural Machine Translation for Low-Resource Domains via Meta-Learning
Measuring and Increasing Context Usage in Context-Aware Machine Translation
Evaluating morphological typology in zero-shot cross-lingual transfer
Do Context-Aware Translation Models Pay the Right Attention？
Diverse Pretrained Context Encodings Improve Document Translation
Beyond Noise： Mitigating the Impact of Fine-grained Semantic Divergences on Neural Machine Translation
Measure and Evaluation of Semantic Divergence across Two Languages
Discriminative Reranking for Neural Machine Translation
Data Augmentation with Adversarial Training for Cross-Lingual NLI
End-to-End Lexically Constrained Machine Translation for Morphologically Rich Languages
Syntax-augmented Multilingual BERT for Cross-lingual Transfer
Language Embeddings for Typology and Cross-lingual Transfer Learning
Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel Data
Neural semi-Markov CRF for Monolingual Word Alignment
Rejuvenating Low-Frequency Words： Making the Most of Parallel Data in Non-Autoregressive Translation
Scientific Credibility of Machine Translation Research： A Meta-Evaluation of 769 Papers
How to Adapt Your Pretrained Multilingual Model to 1600 Languages
Vocabulary Learning via Optimal Transport for Neural Machine Translation
Glancing Transformer for Non-Autoregressive Neural Machine Translation
Guiding Teacher Forcing with Seer Forcing for Neural Machine Translation
AdvPicker： Effectively Leveraging Unlabeled Data via Adversarial Discriminator for Cross-Lingual NER
自然語言處理應用
Inter-GPS： Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning
HERALD： An Annotation Efficient Method to Detect User Disengagement in Social Conversations
Claim Matching Beyond English to Scale Global Fact-Checking
Towards Propagation Uncertainty： Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection
Math Word Problem Solving with Explicit Numerical Values
Breaking Down the Invisible Wall of Informal Fallacies in Online Discussions
ILDC for CJPE： Indian Legal Documents Corpus for Court Judgment Prediction and Explanation
Align Voting Behavior with Public Statements for Legislator Representation Learning
Neural-Symbolic Solver for Math Word Problems with Auxiliary Tasks
Including Signed Languages in Natural Language Processing
Compare to The Knowledge： Graph Neural Fake News Detection with External Knowledge
InfoSurgeon： Cross-Media Fine-grained Information Consistency Checking for Fake News Detection
EarlyBERT： Efficient BERT Training via Early-bird Lottery Tickets
HieRec： Hierarchical User Interest Modeling for Personalized News Recommendation
Can vectors read minds better than experts？ Comparing data augmentation strategies for the automated scoring of children’s mindreading ability
Learning from the Worst： Dynamically Generated Datasets to Improve Online Hate Detection
Explaining Relationships Between Scientific Documents
Every Bite Is an Experience： Key Point Analysis of Business Reviews
PP-Rec： News Recommendation with Personalized User Interest and Time-aware News Popularity
How Did This Get Funded？！ Automatically Identifying Quirky Scientific Achievements
Engage the Public： Poll Question Generation for Social Media Posts
Towards Argument Mining for Social Good： A Survey
What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks？
Assessing Emoji Use in Modern Text Processing Tools
Understanding and Countering Stereotypes： A Computational Approach to the Stereotype Content Model
Early Detection of Sexual Predators in Chats
Supporting Land Reuse of Former Open Pit Mining Sites using Text Classification and Active Learning
Learning Prototypical Functions for Physical Artifacts
The R-U-A-Robot Dataset： Helping Avoid Chatbot Deception by Detecting User Questions About Human or Non-Human Identity
Stance Detection in COVID-19 Tweets
Surprisal Estimators for Human Reading Times Need Character Models
Intrinsic Bias Metrics Do Not Correlate with Application Bias
Generating SOAP Notes from Doctor-Patient Conversations Using Modular Summarization Techniques
音韻學、形態學和分詞
Prosodic segmentation for parsing spoken dialogue
Superbizarre Is Not Superb： Derivational Morphology Improves BERT’s Interpretation of Complex Words
An In-depth Study on Internal Structure of Chinese Words
Lexicon Enhanced Chinese Sequence Labeling Using BERT Adapter
Evaluating morphological typology in zero-shot cross-lingual transfer
To POS Tag or Not to POS Tag： The Impact of POS Tags on Morphological Learning in Low-Resource Settings
End-to-End Lexically Constrained Machine Translation for Morphologically Rich Languages
A unified approach to sentence segmentation of punctuated text in many languages
問答
Dual Reader-Parser on Hybrid Textual and Tabular Evidence for Open Domain Question Answering
Guiding the Growth： Difficulty-Controllable Question Generation through Step-by-Step Rewriting
Explanations for CommonsenseQA： New Dataset and Models
Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction
CoSQA： 20，000+ Web Queries for Code Search and Question Answering
End-to-End Training of Neural Retrievers for Open-Domain Question Answering
Few-Shot Question Answering by Pretraining Span Selection
Robustifying Multi-hop QA through Pseudo-Evidentiality Training
Generation-Augmented Retrieval for Open-Domain Question Answering
Learning to Ask Conversational Questions by Optimizing Levenshtein Distance
xMoCo： Cross Momentum Contrastive Learning for Open-Domain Question Answering
TAT-QA： A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance
A Semantic-based Method for Unsupervised Commonsense Question Answering
A Neural Model for Joint Document and Snippet Ranking in Question Answering for Large Document Collections
Challenges in Information-Seeking QA： Unanswerable Questions and Paragraph Retrieval
Attend What You Need： Motion-Appearance Synergistic Networks for Video Question Answering
Engage the Public： Poll Question Generation for Social Media Posts
Question Answering Over Temporal Knowledge Graphs
Can Generative Pre-trained Language Models Serve As Knowledge Bases for Closed-book QA？
UnitedQA： A Hybrid Approach for Open Domain Question Answering
ForecastQA： A Question Answering Challenge for Event Forecasting with Temporal Text Data
Recursive Tree-Structured Self-Attention for Answer Sentence Selection
GTM： A Generative Triple-wise Model for Conversational Question Generation
Joint Models for Answer Verification in Question Answering Systems
Which Linguist Invented the Lightbulb？ Presupposition Verification for Question-Answering
Modeling Transitions of Focal Entities for Conversational Knowledge Base Question Answering
A Gradually Soft Multi-Task and Data-Augmented Approach to Medical Question Understanding
Mind Your Outliers！ Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering
Check It Again： Progressive Visual Question Answering via Visual Entailment
A Mutual Information Maximization Approach for the Spurious Solution Problem in Weakly Supervised Question Answering
Learn to Resolve Conversational Dependency： A Consistency Training Framework for Conversational Question Answering
Learning to Perturb Word Embeddings for Out-of-distribution QA
資料集、資源和評估
Evaluating Evaluation Measures for Ordinal Classification and Ordinal Quantification
Polyjuice： Generating Counterfactuals for Explaining， Evaluating， and Improving Models
PhotoChat： A Human-Human Dialogue Dataset With Photo Sharing Behavior For Joint Image-Text Modeling
OpenMEVA： A Benchmark for Evaluating Open-ended Story Generation Metrics
Explanations for CommonsenseQA： New Dataset and Models
A Large-Scale Chinese Multimodal NER Dataset with Speech Clues
Evaluation of Thematic Coherence in Microblogs
Human-in-the-Loop for Data Collection： a Multi-Target Counter Narrative Dataset to Fight Online Hate Speech
Few-NERD： A Few-shot Named Entity Recognition Dataset
Changes in European Solidarity Before and During COVID-19： Evidence from a Large Crowd- and Expert-Annotated Twitter Dataset
MultiMET： A Multimodal Dataset for Metaphor Understanding
Towards Quantifiable Dialogue Coherence Evaluation
Evaluation Examples are not Equally Informative： How should that change NLP Leaderboards？
A Human-machine Collaborative Framework for Evaluating Malevolence in Dialogues
Common Sense Beyond English： Evaluating and Improving Multilingual Language Models for Commonsense Reasoning
RADDLE： An Evaluation Benchmark and Analysis Platform for Robust Task-oriented Dialog Systems
DVD： A Diagnostic Dataset for Multi-step Reasoning in Video Grounded Dialogue
VoxPopuli： A Large-Scale Multilingual Speech Corpus for Representation Learning， Semi-Supervised Learning and Interpretation
SMURF： SeMantic and linguistic UndeRstanding Fusion for Caption Evaluation via Typicality Analysis
PENS： A Dataset and Generic Framework for Personalized News Headline Generation
Language Model Evaluation Beyond Perplexity
A Dataset and Baselines for Multilingual Reply Suggestion
Learning from the Worst： Dynamically Generated Datasets to Improve Online Hate Detection
RedditBias： A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models
Comparing Test Sets with Item Response Theory
CLIP： A Dataset for Extracting Action Items for Physicians from Hospital Discharge Notes
Online Learning Meets Machine Translation Evaluation： Finding the Best Systems with the Least Human Effort
Chase： A Large-Scale and Pragmatic Chinese Dataset for Cross-Database Context-Dependent Text-to-SQL
Better than Average： Paired Evaluation of NLP systems
Measure and Evaluation of Semantic Divergence across Two Languages
Handling Extreme Class Imbalance in Technical Logbook Datasets
DESCGEN： A Distantly Supervised Datasetfor Generating Entity Descriptions
The R-U-A-Robot Dataset： Helping Avoid Chatbot Deception by Detecting User Questions About Human or Non-Human Identity
Benchmarking Scalable Methods for Streaming Cross Document Entity Coreference
KaggleDBQA： Realistic Evaluation of Text-to-SQL Parsers
The statistical advantage of automatic NLG metrics at the system level
All That’s ‘Human’ Is Not Gold： Evaluating Human Evaluation of Generated Text
DynaEval： Unifying Turn and Dialogue Level Evaluation
A Training-free and Reference-free Summarization Evaluation Metric via Centrality-weighted Relevance and Self-referenced Redundancy
Multimodal Multi-Speaker Merger & Acquisition Financial Modeling： A New Task， Dataset， and Neural Baselines
Evaluating Entity Disambiguation and the Role of Popularity in Retrieval-Based NLP
QASR： QCRI Aljazeera Speech Resource A Large Scale Annotated Arabic Speech Corpus
ARBERT & MARBERT： Deep Bidirectional Transformers for Arabic
Assessing the Representations of Idiomaticity in Vector Models with a Noun Compound Dataset Labeled at Type and Token Levels
TGEA： An Error-Annotated Dataset and Benchmark Tasks for TextGeneration from Pretrained Language Models
On Sample Based Explanation Methods for NLP： Faithfulness， Efficiency and Semantic Evaluation
句子級語義和文字推理
Inter-GPS： Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning
KACE： Generating Knowledge Aware Contrastive Explanations for Natural Language Inference
Knowledge-Enriched Event Causality Identification via Latent Structure Induction Networks
LearnDA： Learnable Knowledge-Guided Data Augmentation for Event Causality Identification
Evidence-based Factual Error Correction
Learning Faithful Representations of Causal Graphs
UnNatural Language Inference
COSY： COunterfactual SYntax for Cross-Lingual Understanding
Counterfactual Inference for Text Classification Debiasing
Common Sense Beyond English： Evaluating and Improving Multilingual Language Models for Commonsense Reasoning
Exploring the Representation of Word Meanings in Context： A Case Study on Homonymy and Synonymy
Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective Inference
COINS： Dynamically Generating COntextualized Inference Rules for Narrative Story Completion
DVD： A Diagnostic Dataset for Multi-step Reasoning in Video Grounded Dialogue
Reasoning over Entity-Action-Location Graph for Procedural Text Understanding
From Paraphrasing to Semantic Parsing： Unsupervised Semantic Parsing via Synchronous Semantic Decoding
Multi-hop Graph Convolutional Network with High-order Chebyshev Approximation for Text Reasoning
Semantic Representation for Dialogue Modeling
Span-based Semantic Parsing for Compositional Generalization
Accelerating BERT Inference for Sequence Labeling via Early-Exit
De-biasing Distantly Supervised Named Entity Recognition via Causal Intervention
Multi-perspective Coherent Reasoning for Helpfulness Prediction of Multimodal Reviews
Poisoning Knowledge Graph Embeddings via Relation Inference Patterns
Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis
ExCAR： Event Graph Knowledge Enhanced Explainable Causal Reasoning
KM-BART： Knowledge Enhanced Multimodal BART for Visual Commonsense Generation
TIMEDIAL： Temporal Commonsense Reasoning in Dialog
Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models
Edited Media Understanding Frames： Reasoning About the Intent and Implications of Visual Misinformation
Value-Agnostic Conversational Semantic Parsing
Factoring Statutory Reasoning as Language Understanding Challenges
Data Augmentation with Adversarial Training for Cross-Lingual NLI
Compositional Generalization and Natural Language Variation： Can a Semantic Parsing Approach Handle Both？
Topic-Aware Evidence Reasoning and Stance-Aware Aggregation for Fact Verification
Alignment Rationale for Natural Language Inference
Learning Event Graph Knowledge for Abductive Reasoning
CLINE： Contrastive Learning with Semantic Negative Examples for Natural Language Understanding
Search from History and Reason for Future： Two-stage Reasoning on Temporal Knowledge Graphs
情感分析、文體分析
Dual Graph Convolutional Networks for Aspect-based Sentiment Analysis
Multi-Label Few-Shot Learning for Aspect Category Detection
Adversarial Learning for Discourse Rhetorical Structure Parsing
Directed Acyclic Graph Network for Conversational Emotion Recognition
DynaSent： A Dynamic Benchmark for Sentiment Analysis
MultiMET： A Multimodal Dataset for Metaphor Understanding
Verb Metaphor Detection via Contextual Relation Learning
A DQN-based Approach to Finding Precise Evidences for Fact Verification
CTFN： Hierarchical Learning for Multimodal Sentiment Analysis Using Coupled-Translation Fusion Network
Distributed Representations of Emotion Categories in Emotion Space
DialogueCRN： Contextual Reasoning Networks for Emotion Recognition in Conversations
Missing Modality Imagination Network for Emotion Recognition with Uncertain Missing Modalities
A Unified Generative Framework for Aspect-based Sentiment Analysis
Hate Speech Detection Based on Sentiment Knowledge Sharing
MMGCN： Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation
Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis
Structured Sentiment Analysis as Dependency Graph Parsing
Syntopical Graphs for Computational Argumentation Tasks
Style is NOT a single variable： Case Studies for Cross-Stylistic Language Understanding
語音與多模態
PhotoChat： A Human-Human Dialogue Dataset With Photo Sharing Behavior For Joint Image-Text Modeling
Control Image Captioning Spatially and Temporally
Hierarchical Context-aware Network for Dense Video Event Captioning
LayoutLMv2： Multi-modal Pre-training for Visually-rich Document Understanding
Text-Free Image-to-Speech Synthesis Using Learned Segmental Units
A Large-Scale Chinese Multimodal NER Dataset with Speech Clues
MultiMET： A Multimodal Dataset for Metaphor Understanding
HateCheck： Functional Tests for Hate Speech Detection Models
Multi-stage Pre-training over Simplified Multimodal Pre-training Models
CTFN： Hierarchical Learning for Multimodal Sentiment Analysis Using Coupled-Translation Fusion Network
VoxPopuli： A Large-Scale Multilingual Speech Corpus for Representation Learning， Semi-Supervised Learning and Interpretation
VisualSparta： An Embarrassingly Simple Approach to Large-scale Text-to-Image Search with Weighted Bag-of-words
Stacked Acoustic-and-Textual Encoding： Integrating the Pre-trained Models into Speech Translation Encoders
Multimodal Sentiment Detection Based on Multi-channel Graph Neural Networks
Good for Misconceived Reasons： An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation
Beyond Sentence-Level End-to-End Speech Translation： Context Helps
Cascade versus Direct Speech Translation： Do the Differences Still Make a Difference？
KM-BART： Knowledge Enhanced Multimodal BART for Visual Commonsense Generation
Improving Speech Translation by Understanding and Learning from the Auxiliary Text Translation Task
Multilingual Speech Translation from Efficient Finetuning of Pretrained Models
E2E-VLP： End-to-End Vision-Language Pre-training Enhanced by Visual Learning
Self-Supervised Multimodal Opinion Summarization
PIGLeT： Language Grounding Through Neuro-Symbolic Interaction in a 3D World
QASR： QCRI Aljazeera Speech Resource A Large Scale Annotated Arabic Speech Corpus
文字摘要
Improving Factual Consistency of Abstractive Summarization via Question Answering
Long-Span Summarization via Local Attention and Content Selection
RepSum： Unsupervised Dialogue Summarization based on Replacement Strategy
Language Model as an Annotator： Exploring DialoGPT for Dialogue Summarization
BASS： Boosting Abstractive Summarization with Unified Semantic Graph
Focus Attention： Promoting Faithfulness and Diversity in Summarization
Deep Differential Amplifier for Extractive Summarization
Generating Query Focused Summaries from Query-Free Resources
PASS： Perturb-and-Select Summarizer for Product Reviews
Keep It Simple： Unsupervised Simplification of Multi-Paragraph Text
Accelerating Text Communication via Abbreviated Sentence Input
ConvoSumm： Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Mining
Multi-TimeLine Summarization （MTLS）： Improving Timeline Summarization by Generating Multiple Summaries
Explainable Prediction of Text Complexity： The Missing Preliminaries for Text Simplification
EmailSum： Abstractive Email Thread Summarization
Dissecting Generation Modes for Abstractive Summarization Models via Ablation and Attribution
語法、標記和解析
How is BERT surprised？ Layerwise detection of linguistic anomalies
Syntax-Enhanced Pre-trained Model
PLOME： Pre-training with Misspelled Knowledge for Chinese Spelling Correction
Coreference Reasoning in Machine Reading Comprehension
A Conditional Splitting Framework for Efficient Constituency Parsing
COSY： COunterfactual SYntax for Cross-Lingual Understanding
The Limitations of Limited Context for Constituency Parsing
End-to-End AMR Corefencence Resolution
Learning Syntactic Dense Embedding with Correlation Graph for Automatic Readability Assessment
Adapting Unsupervised Syntactic Parsing Methodology for Discourse Dependency Parsing
ABCD： A Graph Framework to Convert Complex Sentences to a Covering Set of Simple Sentences
Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models
Probabilistic， Structure-Aware Algorithms for Improved Variety， Accuracy， and Coverage of AMR Alignments
Exploiting Document Structures and Cluster Consistencies for Event Coreference Resolution
Factuality Assessment as Modal Dependency Parsing
Instantaneous Grammatical Error Correction with Shallow Aggressive Decoding
Benchmarking Scalable Methods for Streaming Cross Document Entity Coreference
Evaluating Entity Disambiguation and the Role of Popularity in Retrieval-Based NLP
Tail-to-Tail Non-Autoregressive Sequence Prediction for Chinese Grammatical Error Correction
PHMOSpell： Phonological and Morphological Knowledge Guided Chinese Spelling Check
文字分類
Semi-Supervised Text Classification with Balanced Deep Representation Distributions
Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification
Concept-Based Label Embedding via Dynamic Routing for Hierarchical Text Classification
OoMMix： Out-of-manifold Regularization in Contextual Embedding Space for Text Classification
Counterfactual Inference for Text Classification Debiasing
BanditMTL： Bandit-based Multi-task Learning for Text Classification
Label-Specific Dual Graph Neural Network for Multi-Label Text Classification
Optimizing Deeper Transformers on Small Datasets
Hierarchy-aware Label Semantics Matching Network for Hierarchical Text Classification
Supporting Land Reuse of Former Open Pit Mining Sites using Text Classification and Active Learning
Enhancing the generalization for Intent Classification and Out-of-Domain Detection in SLU
Exploring Discourse Structures for Argument Impact Classification
More Identifiable yet Equally Performant Transformers for Text Classification
其他
Measuring Fine-Grained Domain Relevance of Terms： A Hierarchical Core-Fringe Approach
What is Your Article Based On？ Inferring Fine-grained Provenance
Transition-based Bubble Parsing： Improvements on Coordination Structure Prediction
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