Learning to Rank Non-Factoid Answers: Comment Selection in Web Forums

ACM International Conference on Information and Knowledge Management, 2016.

Cited by: 16|Bibtex|Views80|DOI:https://doi.org/10.1145/2983323.2983906
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Other Links: dblp.uni-trier.de|dl.acm.org|academic.microsoft.com

Abstract:

Recent initiatives in IR community have shown the important of going beyond factoid Question Answering (QA) in order to design useful real-world applications. Questions asking for descriptions or explanations are much more difficult to be solved, e.g., the machine learning models cannot focus on specific answer words or their lexical type...More

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