EMNLP 2020

The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020) has taken place online from November 16th through November 22nd, 2020.

Official site: https://2020.emnlp.org/

Paper anthology: https://www.aclweb.org/anthology/events/emnlp-2020/

Tasks

• Named Entity Recognization (NER)
• Relation Extraction (RE)
• Event Extraction (EE)
• Knowledge Graph (KG)

  Named Entity Recognization (NER)

  Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

  1. ENT-DESC: Entity Description Generation by Exploring Knowledge Graph
  2. Named Entity Recognition for Social Media Texts with Semantic Augmentation
  3. A Knowledge-driven Generative Model for Multi-implication Chinese Medical Procedure Entity Normalization
  4. Knowledge Graph Alignment with Entity-Pair Embedding
  5. Pre-training Entity Relation Encoder with Intra-span and Inter-span Information
  6. Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence Encoders

Relation Extraction (RE)

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

1. Double Graph Based Reasoning for Document-level Relation Extraction
2. Pre-training Entity Relation Encoder with Intra-span and Inter-span Information
3. Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence Encoders
4. Multi-turn Response Selection using Dialogue Dependency Relations
5. FedED: Federated Learning via Ensemble Distillation for Medical Relation Extraction
6. Within-Between Lexical Relation Classification
7. Learning from Context or Names? An Empirical Study on Neural Relation Extraction
8. SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction
9. Denoising Relation Extraction from Document-level Distant Supervision
10. Let’s Stop Incorrect Comparisons in End-to-end Relation Extraction!
11. Exposing Shallow Heuristics of Relation Extraction Models with Challenge Data
12. Global-to-Local Neural Networks for Document-Level Relation Extraction
13. Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations
14. Domain Knowledge Empowered Structured Neural Net for End-to-End Event Temporal Relation Extraction
15. BERT-enhanced Relational Sentence Ordering Network

    Event Extraction (EE)

    Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

16. Event Extraction by Answering (Almost) Natural Questions
17. Connecting the Dots: Event Graph Schema Induction with Path Language Modeling
18. Joint Constrained Learning for Event-Event Relation Extraction
19. Incremental Event Detection via Knowledge Consolidation Networks
20. Semi-supervised New Event Type Induction and Event Detection
21. Analogous Process Structure Induction for Sub-event Sequence Prediction
22. Event Extraction as Machine Reading Comprehension
23. MAVEN: A Massive General Domain Event Detection Dataset
24. A Method for Building a Commonsense Inference Dataset based on Basic Events