EMNLP2020信息抽取论文

事件抽取
主会
Affective Event Classification with Discourse-enhanced Self-training

Biomedical Event Extraction as Sequence Labeling

Connecting the Dots: Event Graph Schema Induction with Path Language Modeling

Event Extraction as Machine Reading Comprehension

Event Extraction by Answering (Almost) Natural Questions

Incremental Event Detection via Knowledge Consolidation Networks

MAVEN: A Massive General Domain Event Detection Dataset

Weakly Supervised Subevent Knowledge Acquisition

Event Detection: Gate Diversity and Syntactic Importance Scores for Graph Convolution Neural Networks

Introducing a New Dataset for Event Detection in Cybersecurity Texts

Semi-supervised New Event Type Induction and Event Detection

Findings
Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic Relation

Event Extraction as Multi-turn Question Answering

How Does Context Matter? On the Robustness of Event Detection with Context-Selective Mask Generalization

Graph Transformer Networks with Syntactic and Semantic Structures for Event Argument Extraction

Biomedical Event Extraction on Graph Edge-conditioned Attention Networks with Hierarchical Knowledge Graphs

Resource-Enhanced Neural Model for Event Argument Extraction

Learning to Classify Events from Human Needs Category Descriptions

关系抽取
主会
Double Graph Based Reasoning for Document-level Relation Extraction

FedED: Federated Learning via Ensemble Distillation for Medical Relation Extraction

Global-to-Local Neural Networks for Document-Level Relation Extraction

Learning from Context or Names? An Empirical Study on Neural Relation Extraction

Let’s Stop Error Propagation in the End-to-End Relation Extraction Literature!

Pre-training Entity Relation Encoder with Intra-span and Inter-span Information

Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations

Relation-aware Graph Attention Networks with Relational Position Encodings for Emotion Recognition in Conversations

SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction

Two are Better Than One: Joint Entity and Relation Extraction with Table-Sequence Encoders

Denoising Relation Extraction from Document-level Distant Supervision

Distilling Structured Knowledge for Text-Based Relational Reasoning

Exposing Shallow Heuristics of Relation Extraction Models with Challenge Data

Joint Constrained Learning for Event-Event Relation Extraction

Domain Knowledge Empowered Structured Neural Net for End-to-End Event Temporal Relation Extraction. Rujun Han, Yichao Zhou and Nanyun Peng

Findings
Active Testing: An Unbiased Evaluation Method for Distantly Supervised Relation Extraction

Minimize Exposure Bias of Seq2Seq Models in Joint Entity and Relation Extraction

The RELX Dataset and Matching the Multilingual Blanks for Cross-Lingual Relation Classification

Unsupervised Relation Extraction from Language Models using Constrained Cloze Completion

The Dots Have Their Values: Exploiting the Node-Edge Connections in Graph-based Neural Models for Document-level Relation Extraction

NER
主会
Coarse-to-Fine Pre-training for Named Entity Recognition

A Rigorous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land?

Counterfactual Generator: A Weakly-Supervised Method for Named Entity Recognition

Entity Enhanced BERT Pre-training for Chinese NER

Frustratingly Simple Few-Shot Named Entity Recognition with Structured Nearest Neighbor Learning

HIT: Nested Named Entity Recognition via Head-Tail Pair and Token Interaction

Interpretable Multi-dataset Evaluation for Named Entity Recognition

Named Entity Recognition Only from Word Embeddings

Named Entity Recognition for Social Media Texts with Semantic Augmentatio

Findings
Toward Recognizing More Entity Types in NER: An Efficient Implementation using Only Entity Lexicons

A Dual-Attention Network for Joint Named Entity Recognition and Sentence Classification of Adverse Drug Events

Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information

Constrained Decoding for Computationally Efficient Named Entity Recognition Taggers

Hierarchical Region Learning for Nested Named Entity Recognition

FewShot & ZeroShot
主会
Adaptive Attentional Network for Few-Shot Knowledge Graph Completion

An Empirical Study on Large-Scale Multi-Label Text Classification including Few and Zero-Shot Labels

Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference

Few-shot Complex Knowledge Base Question Answering via Meta Reinforcement Learning

Few-Shot Learning for Opinion Summarization

Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks

Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models

Frustratingly Simple Few-Shot Named Entity Recognition with Structured Nearest Neighbor Learning

Scalable Zero-shot Entity Linking with Dense Entity RetrievalScalable Zero-shot Entity Linking with Dense Entity Retrieval

Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start

Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs

Automatic Machine Translation Evaluation in Many Languages via Zero-Shot Paraphrasing

From Zero to Hero: On the Limitations of Zero-Shot Language Transfer with Multilingual Transformers

Grounded Adaptation for Zero-shot Executable Semantic Parsing

MultiCQA: Zero-Shot Transfer of Self-Supervised Text Matching Models on a Massive Scale

Scalable Zero-shot Entity Linking with Dense Entity Retrieval

Self-Supervised Knowledge Triplet Learning for Zero-shot Question Answering

Zero-Shot Cross-Lingual Transfer with Meta Learning

Zero-Shot Crosslingual Sentence Simplification

Language Adapters for Zero Shot Neural Machine Translation

On the Evaluation of Contextual Embeddings for Zero-Shot Cross-Lingual Transfer Learning

SLEDGE: A Simple Yet Effective Zero-Shot Baseline for Coronavirus Scientific Knowledge Search

Findings
Few-shot Natural Language Generation for Task-Oriented Dialog

Few-Shot Multi-Hop Relation Reasoning over Knowledge Bases

Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection

Composed Variational Natural Language Generation for Few-shot Intents

Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation

Few-Shot Multi-Hop Relation Reasoning over Knowledge Bases

Contract Discovery: Dataset and a Few-Shot Semantic Retrieval Challenge with Competitive Baselines

Hybrid Emoji-Based Masked Language Models for Zero-Shot Abusive Language Detection

Zero-shot Entity Linking with Efficient Long Range Sequence Modeling

ZEST: Zero-shot Learning from Text Descriptions using Textual Similarity and Visual Summarization

Zero-Shot Rationalization by Multi-Task Transfer Learning from Question Answering

Towards Zero-Shot Conditional Summarization with Adaptive Multi-Task Fine-Tuning

Sparse and Decorrelated Representations for Stable Zero-shot NMT

Zero-shot Entity Linking with Efficient Long Range Sequence Modeling

MRC & QA
主会
Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering

Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading

IIRC: A Dataset of Incomplete Information Reading Comprehension Questions

Interactive Fiction Game Playing as Multi-Paragraph Reading Comprehension with Reinforcement Learning

MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics

Scene Restoring for Narrative Machine Reading Comprehension

TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions

Towards Medical Machine Reading Comprehension with Structural Knowledge and Plain Text

Reading Between the Lines: Exploring Infilling in Visual Narratives

Towards Interpreting BERT for Reading Comprehension Based QA

Neural Conversational QA: Learning to Reason vs Exploiting Patterns

A Simple Yet Strong Pipeline for HotpotQA

SubjQA: A Dataset for Subjectivity and Review Comprehension

STL-CQA: Structure-based Transformers with Localization and Encoding for Chart Question Answering

QADiscourse - Discourse Relations as QA Pairs: Representation, Crowdsourcing and Baselines

ProtoQA: A Question Answering Dataset for Prototypical Common-Sense Reasoning

LAReQA: Language-agnostic answer retrieval from a multilingual pool

Is Multihop QA in DiRe Condition? Measuring and Reducing Disconnected Reasoning

AutoQA: From Databases To Q&A Semantic Parsers With Only Synthetic Training Data

AmbigQA: Answering Ambiguous Open-domain Questions

Hierarchical Graph Network for Multi-hop Question Answering

Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering

Is Graph Structure Necessary for Multi-hop Question Answering?

Findings
Undersensitivity in Neural Reading Comprehension

Adversarial Augmentation Policy Search for Domain and Cross-Lingual Generalization in Reading Comprehension

No Answer is Better Than Wrong Answer: A Reflection Model for Document Level Machine Reading Comprehension

PolicyQA: A Reading Comprehension Dataset for Privacy Policies

Answer Span Correction in Machine Reading Comprehension

Open-Ended Visual Question Answering by Multi-Modal Domain Adaptation

ConceptBert: Concept-Aware Representation for Visual Question Answering

HybridQA: A Dataset of Multi-Hop Question Answering

FQuAD: French Question Answering Dataset

Question Answering with Long Multiple-Span Answers

Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering

Multi-hop Question Generation with Graph Convolutional Network

MMFT-BERT: Multimodal Fusion Transformer with BERT Encodings for Visual Question Answering

Open Domain Question Answering based on Text Enhanced Knowledge Graph with Hyperedge Infusion

Summarization
A Spectral Method for Unsupervised Multi-Document Summarization

Coarse-to-Fine Query Focused Multi-Document Summarization

Compressive Summarization with Plausibility and Salience Modeling

Evaluating the Factual Consistency of Abstractive Text Summarization

Friendly Topic Assistant for Transformer Based Abstractive Summarization

Intrinsic Evaluation of Summarization Datasets

MLSUM: The Multilingual Summarization Corpus

Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning

Multi-Fact Correction in Abstractive Text Summarization

Multi-hop Inference for Question-driven Summarization

Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue Summarization

Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network

On Extractive and Abstractive Neural Document Summarization with Transformer Language Models

Pre-training for Abstractive Document Summarization by Reinstating Source Text

Q-learning with Language Model for Edit-based Unsupervised Summarization

Re-evaluating Evaluation in Text Summarization

Stepwise Extractive Summarization and Planning with Structured Transformers

TESA: A Task in Entity Semantic Aggregation for Abstractive Summarization

What Have We Achieved on Text Summarization?

Factual Error Correction for Abstractive Summarization Models

Learning to Fuse Sentences with Transformers for Summarization

Modeling Content Importance for Summarization with Pre-trained Language Models

Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles

Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach

Understanding Neural Abstractive Summarization Models via Uncertainty

Findings
A Hierarchical Network for Abstractive Meeting Summarization with Cross-Domain Pretraining

Conditional Neural Generation using Sub-Aspect Functions for Extractive News Summarization

Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers

TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising

Reducing Quantity Hallucinations in Abstractive Summarization

Abstractive Multi-Document Summarization via Joint Learning with Single-Document Summarization

Corpora Evaluation and System Bias Detection in Multi-document Summarization

Towards Zero-Shot Conditional Summarization with Adaptive Multi-Task Fine-Tuning

Literature Retrieval for Precision Medicine with Neural Matching and Faceted Summarization

CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems

Dr. Summarize: Global Summarization of Medical Dialogue by Exploiting Local Structures

WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarization

SupMMD: A Sentence Importance Model for Extractive Summarization using Maximum Mean Discrepancy

TLDR: Extreme Summarization of Scientific Documents

Others
主会
QADiscourse - Discourse Relations as QA Pairs: Representation, Crowdsourcing and Baselines

Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph

Language Generation with Multi-hop Reasoning on Commonsense Knowledge Graph

Multi-hop Inference for Question-driven Summarization
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版权声明：本文为CSDN博主「御风而行Carrie」的原创文章，遵循CC 4.0 BY-SA版权协议，转载请附上原文出处链接及本声明。
原文链接：https://blog.csdn.net/carrie_0307/article/details/109066049