A Compare-Aggregate Model with Latent Clustering for Answer Selection

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, pp. 2093-2096, 2019.

Cited by: 11|Bibtex|Views23|DOI:https://doi.org/10.1145/3357384.3358148
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Other Links: dblp.uni-trier.de|academic.microsoft.com|dl.acm.org|arxiv.org

Abstract:

In this paper, we propose a novel method for a sentence-level answer-selection task that is a fundamental problem in natural language processing. First, we explore the effect of additional information by adopting a pretrained language model to compute the vector representation of the input text and by applying transfer learning from a lar...More

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