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question answering

2,882 papers

QA Q&A Q/A

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