Co-occurring keywords · papers mentioning both
Papers
AmazonQA: A Review-Based Question Answering Task
IJCAI 2019
A Multi-Task Learning Approach for Answer Selection: A Study and a Chinese Law Dataset
AAAI 2019
A Multi-Type Multi-Span Network for Reading Comprehension that Requires Discrete Reasoning
EMNLP 2019
An Exploration of Data Augmentation and Sampling Techniques for Domain-Agnostic Question Answering
EMNLP 2019
Annotation Process for the Dialog Act Classification of a Taglish E-commerce Q&A Corpus
EMNLP 2019
Answer Identification from Product Reviews for User Questions by Multi-Task Attentive Networks
AAAI 2019
Answering Complex Open-domain Questions Through Iterative Query Generation
EMNLP 2019
Answering Conversational Questions on Structured Data without Logical Forms
EMNLP 2019
Answering Naturally: Factoid to Full length Answer Generation
EMNLP 2019
Answering questions by learning to rank - Learning to rank by answering questions
EMNLP 2019
Answers Unite! Unsupervised Metrics for Reinforced Summarization Models
EMNLP 2019
ANU-CSIRO at MEDIQA 2019: Question Answering Using Deep Contextual Knowledge
ACL 2019
A Paraphrase Generation System for EHR Question Answering
ACL 2019
A Qualitative Comparison of CoQA, SQuAD 2.0 and QuAC
NAACL 2019
Are Red Roses Red? Evaluating Consistency of Question-Answering Models
ACL 2019
ARS_NITK at MEDIQA 2019:Analysing Various Methods for Natural Language Inference, Recognising Question Entailment and Medical Question Answering System
ACL 2019
A Simple but Effective Method to Incorporate Multi-turn Context with BERT for Conversational Machine Comprehension
ACL 2019
A Span-Extraction Dataset for Chinese Machine Reading Comprehension
EMNLP 2019
Bend but Don’t Break? Multi-Challenge Stress Test for QA Models
EMNLP 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
NAACL 2019
BLCU_NLP at SemEval-2019 Task 8: A Contextual Knowledge-enhanced GPT Model for Fact Checking
SemEval 2019
Book QA: Stories of Challenges and Opportunities
EMNLP 2019
Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension
ICLR 2019
CALOR-QUEST : generating a training corpus for Machine Reading Comprehension models from shallow semantic annotations
EMNLP 2019
Can You Unpack That? Learning to Rewrite Questions-in-Context
EMNLP 2019