ACL 2019

The 57th Annual Meeting of the Association for Computational Linguistics (ACL) took place in Florence (Italy) at the ‘Fortezza da Basso’ from** July 28th to August 2nd, 2019. The program of the conference included **poster sessions, tutorials, workshops, and demonstrations in addition to the main conference. ACL is the premier conference of the field of computational linguistics, covering a broad spectrum of diverse research areas that are concerned with computational approaches to natural language.

Official site: https://acl2019.org/EN/index.xhtml.html

Paper anthology: https://www.aclweb.org/anthology/events/acl-2019/

Tasks

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

  Named Entity Recognization (NER)

  Relation Extraction (RE)

  Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

  1. Neural Relation Extraction for Knowledge Base Enrichment
  2. Attention Guided Graph Convolutional Networks for Relation Extraction
  3. Topic Tensor Network for Implicit Discourse Relation Recognition in Chinese
  4. Implicit Discourse Relation Identification for Open-domain Dialogues
  5. DocRED: A Large-Scale Document-Level Relation Extraction Dataset
  6. Global Textual Relation Embedding for Relational Understanding
  7. Graph Neural Networks with Generated Parameters for Relation Extraction
  8. Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data
  9. Joint Type Inference on Entities and Relations via Graph Convolutional Networks
  10. Unsupervised Information Extraction: Regularizing Discriminative Approaches with Relation Distribution Losses
  11. Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction
  12. ARNOR: Attention Regularization based Noise Reduction for Distant Supervision Relation Classification
  13. GraphRel: Modeling Text as Relational Graphs for Joint Entity and Relation Extraction
  14. DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction
  15. SphereRE: Distinguishing Lexical Relations with Hyperspherical Relation Embeddings
  16. Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification
  17. Quantifying Similarity between Relations with Fact Distribution
  18. Matching the Blanks: Distributional Similarity for Relation Learning
  19. Fine-Grained Temporal Relation Extraction
  20. Employing the Correspondence of Relations and Connectives to Identify Implicit Discourse Relations via Label Embeddings
  21. Multi-Relational Script Learning for Discourse Relations
  22. Inter-sentence Relation Extraction with Document-level Graph Convolutional Neural Network
  23. Chinese Relation Extraction with Multi-Grained Information and External Linguistic Knowledge
  24. Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs
  25. Span-Level Model for Relation Extraction
  26. Modeling Semantic Relationship in Multi-turn Conversations with Hierarchical Latent Variables
  27. Collocation Classification with Unsupervised Relation Vectors
  28. Model-Agnostic Meta-Learning for Relation Classification with Limited Supervision
  29. Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering

Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations

1. An Environment for Relational Annotation of Political Debates
2. A Framework for Relation Extraction Across Multiple Datasets in Multiple Domains

   Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019)

3. Meta-Learning Improves Lifelong Relation Extraction

   Proceedings of the 6th Workshop on Argument Mining

4. Dissecting Content and Context in Argumentative Relation Analysis
5. Argument Component Classification by Relation Identification by Neural Network and TextRank

   Event Extraction (EE)

   Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

6. Open Domain Event Extraction Using Neural Latent Variable Models
7. Literary Event Detection
8. Revisiting Joint Modeling of Cross-document Entity and Event Coreference Resolution
9. Distilling Discrimination and Generalization Knowledge for Event Detection via Delta-Representation Learning
10. Detecting Subevents using Discourse and Narrative Features
11. Cost-sensitive Regularization for Label Confusion-aware Event Detection
12. Exploring Pre-trained Language Models for Event Extraction and GenerExploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data

    Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations

13. Rapid Customization for Event Extraction

    Proceedings of the Fourth Social Media Mining for Health Applications (#SMM4H) Workshop & Shared Task

14. Identifying Adverse Drug Events Mentions in Tweets Using Attentive, Collocated, and Aggregated Medical Representation

    Proceedings of the First International Workshop on Designing Meaning Representations

15. Event Structure Representation: Between Verbs and Argument Structure Constructions

    Knowledge Graph (KG)