AAAI 2020

The Thirty-Fourth AAAI Conference on Artificial Intelligence was held on February 7–12th, 2020 in New York, New York, USA. The surge in public interest in AI technologies, which we have witnessed over the past few years, continued to accelerate in 2019–2020, with the societal and economic impact of AI becoming a central point of public and government discussion worldwide. AAAI-20 saw submissions and attendance numbers that were records in the history of the AAAI series of conferences and continued its tradition of attracting top-quality papers from all areas of AI. We were excited to see increases in submissions across almost all areas.

The AAAI-20 program consisted of a core technical program of original research presentations, including a special track on AI for social impact and a sister conference track. It additionally featured a broad range of tutorials, workshops, invited talks, panels, student abstracts, a debate, and presentations by senior members. The program was rounded out by technical demonstrations, exhibits, an AI job fair, the AI in Practice program, a student outreach program, and a game night. The conference also continued its tradition of colocating with the long-running IAAI conference and the EAAI symposium, as well as the newer conference on AI, Ethics, and Society.

Official site: https://aaai.org/Conferences/AAAI-20/

Paper anthology: https://aaai.org/Library/AAAI/aaai20contents.php

Tasks

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

  Named Entity Recognization (NER)

  1. Fine-Grained Named Entity Typing over Distantly Supervised Data Based on Refined Representations
  2. Zero-Resource Cross-Lingual Named Entity Recognition
  3. Improving Entity Linking by Modeling Latent Entity Type Information
  4. Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study
  5. Knowledge-Graph Augmented Word Representations for Named Entity Recognition
  6. Leveraging Multi-Token Entities in Document-Level Named Entity Recognition
  7. Recursively Binary Modification Model for Nested Named Entity Recognition
  8. GraphER: Token-Centric Entity Resolution with Graph Convolutional Neural Networks
  9. HAMNER: Headword Amplified Multi-Span Distantly Supervised Method for Domain Specific Named Entity Recognition
  10. Hierarchical Contextualized Representation for Named Entity Recognition
  11. Fine-Grained Entity Typing for Domain Independent Entity Linking
  12. Boundary Enhanced Neural Span Classification for Nested Named Entity Recognition
  13. Sentence Generation for Entity Description with Content-Plan Attention
  14. Enhanced Meta-Learning for Cross-Lingual Named Entity Recognition with Minimal Resources
  15. End-to-End Bootstrapping Neural Network for Entity Set Expansion
  16. LATTE: Latent Type Modeling for Biomedical Entity Linking
  17. Attending to Entities for Better Text Understanding
  18. Associating Natural Language Comment and Source Code Entities

Relation Extraction (RE)

1. Simultaneously Linking Entities and Extracting Relations from Biomedical Text without Mention-Level Supervision
2. CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning
3. Effective Modeling of Encoder-Decoder Architecture for Joint Entity and Relation Extraction
4. Joint Entity and Relation Extraction with a Hybrid Transformer and Reinforcement Learning Based Model
5. Inducing Relational Knowledge from BERT
6. Neural Snowball for Few-Shot Relation Learning
7. Working Memory-Driven Neural Networks with a Novel Knowledge Enhancement Paradigm for Implicit Discourse Relation Recognition
8. Latent Relation Language Models
9. Improving Neural Relation Extraction with Positive and Unlabeled Learning
10. Relation Extraction Exploiting Full Dependency Forests
11. Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction
12. Are Noisy Sentences Useless for Distant Supervised Relation Extraction?
13. Relation Extraction with Convolutional Network over Learnable Syntax-Transport Graph
14. Multi-View Consistency for Relation Extraction via Mutual Information and Structure Prediction
15. A Causal Inference Method for Reducing Gender Bias in Word Embedding Relations
16. Integrating Relation Constraints with Neural Relation Extractors
17. Distilling Knowledge from Well-Informed Soft Labels for Neural Relation Extraction

    Event Extraction (EE)

18. Story Realization: Expanding Plot Events into Sentences
19. Open Domain Event Text Generation
20. CASIE: Extracting Cybersecurity Event Information from Text
21. Image Enhanced Event Detection in News Articles
22. Be Relevant, Non-Redundant, and Timely: Deep Reinforcement Learning for Real-Time Event Summarization