COLING’2020

In this post, I am going to list the Papers from the main session which seemed most relevant and interesting to me. I hope this list may be useful for you too. The papers are separated by the different tracks in which they appeared in the conference.

Applications:
- A Corpus for Argumentative Writing Support in German
- Exploring Cross-sentence Contexts for Named Entity Recognition with BERT
- Solving Math Word Problems with Multi-Encoders and Multi-Decoders

Dialogue:
- Recent Neural Methods on Slot Filling and Intent Classification for Task-Oriented Dialogue Systems: A Survey

Evaluation:
- Identifying Annotator Bias: A new IRT-based method for bias identification.

Fake News and Rumours:
- Debunking Rumors on Twitter with Tree Transformer

Inference and Comprehension:
- FASTMATCH: Accelerating the Inference of BERT-based Text Matching
- Knowledge-Enhanced Natural Language Inference Based on Knowledge Graphs

Information Extraction:
- Hierarchical Chinese Legal event extraction via Pedal Attention Mechanism
- Span-based Joint Entity and Relation Extraction with Attention-based Span-specific and Contextual Semantic Representations

Machine Learning:
- Fine-tuning BERT for Low-Resource Natural Language Understanding via Active Learning

Machine Learning Methods:
- Exploring the Zero-Shot Limit of FewRel

Relation Extraction:
- Towards Accurate and Consistent Evaluation: A Dataset for Distantly-Supervised Relation Extraction
- Dual Supervision Framework for Relation Extraction with Distant Supervision and Human Annotation
- Graph Convolution over Multiple Dependency Sub-graphs for Relation Extraction

Scarce Data and Low Resource Languages:
- Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks

Semantics:
- Multi-Task Learning for Knowledge Graph Completion with Pre-trained Language Models