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question answering

2904 papers

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Also known as

MCQ VIDEOQA QA QA OR NULL KGQA Q&A DOCQA ODQA Q/A CQA QNA PQA WHY-QA MCQA MRC KBQA VQA

Co-occurring keywords

large language model (12755) retrieval-augmented generation (1459) information retrieval (1493) knowledge graph (1795) language model (4573) machine reading comprehension (430) reading comprehension (372) multi-hop reasoning (400) text generation (2903) knowledge base (801)

Papers

A Discrete Hard EM Approach for Weakly Supervised Question Answering EMNLP 2019
Let’s Ask Again: Refine Network for Automatic Question Generation EMNLP 2019
Social IQa: Commonsense Reasoning about Social Interactions EMNLP 2019
A Span-Extraction Dataset for Chinese Machine Reading Comprehension EMNLP 2019
FlowDelta: Modeling Flow Information Gain in Reasoning for Conversational Machine Comprehension EMNLP 2019
Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering EMNLP 2019
Unsupervised Question Answering for Fact-Checking EMNLP 2019
Relation Extraction among Multiple Entities Using a Dual Pointer Network with a Multi-Head Attention Mechanism EMNLP 2019
Jeff Da at COIN - Shared Task: BIG MOOD: Relating Transformers to Explicit Commonsense Knowledge EMNLP 2019
Domain-agnostic Question-Answering with Adversarial Training EMNLP 2019
Question Answering Using Hierarchical Attention on Top of BERT Features EMNLP 2019
Let Me Know What to Ask: Interrogative-Word-Aware Question Generation EMNLP 2019
Evaluating Question Answering Evaluation EMNLP 2019
On Making Reading Comprehension More Comprehensive EMNLP 2019
Do Multi-hop Readers Dream of Reasoning Chains? EMNLP 2019
Improving Question Answering with External Knowledge EMNLP 2019
Finding Generalizable Evidence by Learning to Convince Q&A Models IJCNLP 2019
BLCU_NLP at SemEval-2019 Task 8: A Contextual Knowledge-enhanced GPT Model for Fact Checking SEMEVAL 2019
IFlyLegal: A Chinese Legal System for Consultation, Law Searching, and Document Analysis EMNLP 2019
ProblemSolver at SemEval-2019 Task 10: Sequence-to-Sequence Learning and Expression Trees SEMEVAL 2019
YNU-HPCC at SemEval-2019 Task 8: Using A LSTM-Attention Model for Fact-Checking in Community Forums SEMEVAL 2019
CodeForTheChange at SemEval-2019 Task 8: Skip-Thoughts for Fact Checking in Community Question Answering SEMEVAL 2019
Memory Graph Networks for Explainable Memory-grounded Question Answering CONLL 2019
Revisiting the Evaluation of Theory of Mind through Question Answering EMNLP 2019
Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader ACL 2019