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Answer Selection

Answer Selection is the task of identifying the correct answer to a question from a pool of candidate answers. This task can be formulated as a classification or a ranking problem.

Source: Learning Analogy-Preserving Sentence Embeddings for Answer Selection

Papers

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Showing 121–130 of 171 papers

TitleStatusHype
Improving Zero-shot Reader by Reducing Distractions from Irrelevant Documents in Open-Domain Question Answering—0
Incremental Improvement of a Question Answering System by Re-ranking Answer Candidates using Machine Learning—0
Inner Attention based Recurrent Neural Networks for Answer Selection—0
Integrating Question Classification and Deep Learning for improved Answer Selection—0
Intent-calibrated Self-training for Answer Selection in Open-domain Dialogues—0
ISS-MULT: Intelligent Sample Selection for Multi-Task Learning in Question Answering—0
ITNLP-AiKF at SemEval-2016 Task 3 a quesiton answering system using community QA repository—0
JAIST: Combining multiple features for Answer Selection in Community Question Answering—0
Joint Training of Candidate Extraction and Answer Selection for Reading Comprehension—0
JU NITM at IJCNLP-2017 Task 5: A Classification Approach for Answer Selection in Multi-choice Question Answering System—0
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