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Answer Generation

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Showing 251–280 of 280 papers

TitleStatusHype
Approche de g\'en\'eration de r\'eponse \`a base de transformers (Transformer based approach for answer generation)—0
Language Models for Cloze Task Answer Generation in Russian—0
Answer Generation through Unified Memories over Multiple Passages—0
GenNet : Reading Comprehension with Multiple Choice Questions using Generation and Selection model—0
Training Question Answering Models From Synthetic Data—0
A Survey on Machine Reading Comprehension Systems—0
Can AI Generate Love Advice?: Toward Neural Answer Generation for Non-Factoid Questions—0
Deep Bayesian Active Learning for Multiple Correct Outputs—0
Conclusion-Supplement Answer Generation for Non-Factoid Questions—0
EDUQA: Educational Domain Question Answering System using Conceptual Network Mapping—0
Video Dialog via Progressive Inference and Cross-Transformer—0
Evaluating Question Answering Evaluation—0
Answering Naturally: Factoid to Full length Answer GenerationCode0
Incorporating External Knowledge into Machine Reading for Generative Question Answering—0
AmazonQA: A Review-Based Question Answering TaskCode0
Open-Ended Long-Form Video Question Answering via Hierarchical Convolutional Self-Attention Networks—0
Review-Driven Answer Generation for Product-Related Questions in E-CommerceCode0
Making History Matter: History-Advantage Sequence Training for Visual Dialog—0
Product-Aware Answer Generation in E-Commerce Question-AnsweringCode0
Adaptive Artificial Intelligent Q&A Platform—0
Extraction Meets Abstraction: Ideal Answer Generation for Biomedical Questions—0
Ontology-Based Retrieval \& Neural Approaches for BioASQ Ideal Answer Generation—0
Natural Answer Generation with Heterogeneous Memory—0
Automating Reading Comprehension by Generating Question and Answer Pairs—0
CMU LiveMedQA at TREC 2017 LiveQA: A Consumer Health Question Answering System—0
R^3: Reinforced Reader-Ranker for Open-Domain Question AnsweringCode0
Tackling Biomedical Text Summarization: OAQA at BioASQ 5B—0
S-Net: From Answer Extraction to Answer Generation for Machine Reading Comprehension—0
Training IBM Watson using Automatically Generated Question-Answer Pairs—0
Dataset and Neural Recurrent Sequence Labeling Model for Open-Domain Factoid Question AnsweringCode0
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