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LSTM-based Deep Learning Models for Non-factoid Answer Selection

, , , and . (2015)cite arxiv:1511.04108Comment: added new experiments on TREC-QA.

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LSTM-based Deep Learning Models for Non-factoid Answer Selection, , , and . (2015)cite arxiv:1511.04108Comment: added new experiments on TREC-QA.Answering Ambiguous Questions through Generative Evidence Fusion and Round-Trip Prediction., , , , , , , , , and . CoRR, (2020)Counterfactual Data Augmentation improves Factuality of Abstractive Summarization., , , , and . CoRR, (2022)Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics., , , , , , , , , and 5 other author(s). CoRR, (2020)Portuguese Corpus-Based Learning Using ETL., , and . J. Braz. Comput. Soc., 14 (4): 17-27 (2008)Learning Implicit Generative Models by Matching Perceptual Features., , , and . ICCV, page 4460-4469. IEEE, (2019)PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide Sequences., , , , , , , , and . CoRR, (2018)A Machine Learning Approach to the Identification of Appositives., , , , , and . IBERAMIA-SBIA, volume 4140 of Lecture Notes in Computer Science, page 309-318. Springer, (2006)Mixed-Curvature Multi-Relational Graph Neural Network for Knowledge Graph Completion., , , , , , , , and . WWW, page 1761-1771. ACM / IW3C2, (2021)Rule and Tree Ensembles for Unrestricted Coreference Resolution., and . CoNLL Shared Task, page 51-55. ACL, (2011)