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KG-NLP-Papers

Including Knowledge Graph and Neural Language Processing (especially information extraction) papers from 20 top conferences:

ACL 2020

The The 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020) has taken place online from July 5th through July 10th, 2020.

Official site: https://acl2020.org/

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

Tasks

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop

  1. Embeddings of Label Components for Sequence Labeling: A Case Study of Fine-grained Named Entity Recognition

    Proceedings of The 3rd Workshop on e-Commerce and NLP

  2. Bootstrapping Named Entity Recognition in E-Commerce with Positive Unlabeled Learning

    Proceedings of the 5th Workshop on Representation Learning for NLP

  3. Zero-Resource Cross-Domain Named Entity Recognition

    Relation Extraction (RE)

    Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

  4. In Layman’s Terms: Semi-Open Relation Extraction from Scientific Texts
  5. Probing Linguistic Features of Sentence-Level Representations in Neural Relation Extraction
  6. Reasoning with Latent Structure Refinement for Document-Level Relation Extraction
  7. TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task
  8. Generalizing Natural Language Analysis through Span-relation Representations
  9. Towards Understanding Gender Bias in Relation Extraction
  10. Dialogue-Based Relation Extraction
  11. Implicit Discourse Relation Classification: We Need to Talk about Evaluation
  12. Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents
  13. Relation Extraction with Explanation
  14. Revisiting Unsupervised Relation Extraction
  15. Exploiting the Syntax-Model Consistency for Neural Relation Extraction
  16. Learning Interpretable Relationships between Entities, Relations and Concepts via Bayesian Structure Learning on Open Domain Facts
  17. ZeroShotCeres: Zero-Shot Relation Extraction from Semi-Structured Webpages

    Proceedings of the 19th SIGBioMed Workshop on Biomedical Language Processing

  18. A BERT-based One-Pass Multi-Task Model for Clinical Temporal Relation Extraction
  19. A Data-driven Approach for Noise Reduction in Distantly Supervised Biomedical Relation Extraction
  20. Global Locality in Biomedical Relation and Event Extraction

    Event Extraction (EE)

    Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

  21. Cross-media Structured Common Space for Multimedia Event Extraction
  22. Discourse as a Function of Event: Profiling Discourse Structure in News Articles around the Main Event
  23. Improving Event Detection via Open-domain Trigger Knowledge
  24. A Two-Step Approach for Implicit Event Argument Detection
  25. Machine Reading of Historical Events
  26. Towards Open Domain Event Trigger Identification using Adversarial Domain Adaptation
  27. Document-Level Event Role Filler Extraction using Multi-Granularity Contextualized Encoding

    Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop

  28. Exploring Interpretability in Event Extraction: Multitask Learning of a Neural Event Classifier and an Explanation Decoder

    Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts

  29. Global Locality in Biomedical Relation and Event Extraction

    Proceedings of the 1st Workshop on NLP for COVID-19 at ACL 2020

  30. Enabling Low-Resource Transfer Learning across COVID-19 Corpora by Combining Event-Extraction and Co-Training

    Proceedings of the First Joint Workshop on Narrative Understanding, Storylines, and Events

  31. New Insights into Cross-Document Event Coreference: Systematic Comparison and a Simplified Approach
  32. Extensively Matching for Few-shot Learning Event Detection
  33. Automatic extraction of personal events from dialogue

Others

  1. Finding Universal Grammatical Relations in Multilingual BERT