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Papers
Self Question-answering: Aspect-based Sentiment Analysis by Role Flipped Machine Reading Comprehension
EMNLP 2021
Self-Teaching Machines to Read and Comprehend with Large-Scale Multi-Subject Question-Answering Data
EMNLP 2021
Semantic Answer Similarity for Evaluating Question Answering Models
EMNLP 2021
Single-dataset Experts for Multi-dataset Question Answering
EMNLP 2021
SituatedQA: Incorporating Extra-Linguistic Contexts into QA
EMNLP 2021
SMedBERT: A Knowledge-Enhanced Pre-trained Language Model with Structured Semantics for Medical Text Mining
ACL 2021
Solving Machine Learning Problems
ACML 2021
SPARTQA: A Textual Question Answering Benchmark for Spatial Reasoning
NAACL 2021
SQALER: Scaling Question Answering by Decoupling Multi-Hop and Logical Reasoning
NeurIPS 2021
Structured Context and High-Coverage Grammar for Conversational Question Answering over Knowledge Graphs
EMNLP 2021
Structured Co-reference Graph Attention for Video-grounded Dialogue
AAAI 2021
Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension
EMNLP 2021
Summary-Oriented Question Generation for Informational Queries
ACL 2021
SUTD-TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning Over Traffic Events
CVPR 2021
Syntax-augmented Multilingual BERT for Cross-lingual Transfer
ACL 2021
Team JARS: DialDoc Subtask 1 - Improved Knowledge Identification with Supervised Out-of-Domain Pretraining
ACL 2021
Technical Question Answering across Tasks and Domains
NAACL 2021
TextGraphs 2021 Shared Task on Multi-Hop Inference for Explanation Regeneration
NAACL 2021
Text Modular Networks: Learning to Decompose Tasks in the Language of Existing Models
NAACL 2021
Text Simplification for Comprehension-based Question-Answering
EMNLP 2021
Textual Time Travel: A Temporally Informed Approach to Theory of Mind
EMNLP 2021
The Effectiveness of Intermediate-Task Training for Code-Switched Natural Language Understanding
EMNLP 2021
The Global Banking Standards QA Dataset (GBS-QA)
EMNLP 2021
Think about it! Improving defeasible reasoning by first modeling the question scenario.
EMNLP 2021
Time-Stamped Language Model: Teaching Language Models to Understand The Flow of Events
NAACL 2021