ACL 2021 主会571篇长文分类汇总（中）
-
会话、语用与论证挖掘
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文本生成
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信息抽取
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信息检索与文本挖掘
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自然语言处理模型的可解释性与分析
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