conftrace_

machine reading comprehension

430 papers

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Also known as

MRC MRC

Co-occurring keywords

question answering (2963) reading comprehension (377) attention mechanism (4001) pre-trained language model (1515) natural language understanding (846) named entity recognition (2813) language model (4599) large language model (13587) neural network (6616) span extraction (83)

Papers

DCMN+: Dual Co-Matching Network for Multi-Choice Reading Comprehension AAAI 2020
A Self-Training Method for Machine Reading Comprehension with Soft Evidence Extraction ACL 2020
Answer Generation through Unified Memories over Multiple Passages IJCAI 2020
BioMRC: A Dataset for Biomedical Machine Reading Comprehension ACL 2020
The TechQA Dataset ACL 2020
R4C: A Benchmark for Evaluating RC Systems to Get the Right Answer for the Right Reason ACL 2020
Distill BERT to Traditional Models in Chinese Machine Reading Comprehension (Student Abstract) AAAI 2020
Neural Question Generation with Answer Pivot AAAI 2020
A Simple and Effective Model for Answering Multi-span Questions EMNLP 2020
Q. Can Knowledge Graphs be used to Answer Boolean Questions? A. It’s complicated! EMNLP 2020
MRC Examples Answerable by BERT without a Question Are Less Effective in MRC Model Training AACL 2020
MaP: A Matrix-based Prediction Approach to Improve Span Extraction in Machine Reading Comprehension AACL 2020
MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics EMNLP 2020
Question Directed Graph Attention Network for Numerical Reasoning over Text EMNLP 2020
Evidence Inference 2.0: More Data, Better Models ACL 2020
Answer Span Correction in Machine Reading Comprehension EMNLP 2020
Towards Medical Machine Reading Comprehension with Structural Knowledge and Plain Text EMNLP 2020
Event Extraction as Machine Reading Comprehension EMNLP 2020
COVID-QA: A Question Answering Dataset for COVID-19 ACL 2020
ISAAQ - Mastering Textbook Questions with Pre-trained Transformers and Bottom-Up and Top-Down Attention EMNLP 2020
CALOR-QUEST : generating a training corpus for Machine Reading Comprehension models from shallow semantic annotations EMNLP 2019
Finding Generalizable Evidence by Learning to Convince Q&A Models EMNLP 2019
Cross-Lingual Machine Reading Comprehension EMNLP 2019
Question-type Driven Question Generation EMNLP 2019
Teaching Machines to Extract Main Content for Machine Reading Comprehension AAAI 2019