A Compare-Aggregate Model with Latent Clustering for Answer Selection-Reference-Cited by-同舟云学术

A Compare-Aggregate Model with Latent Clustering for Answer Selection

Published:2019-11-03 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th ACM International Conference on Information and Knowledge Management
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Author:

Yoon Seunghyun¹,Dernoncourt Franck²,Kim Doo Soon²,Bui Trung²,Jung Kyomin¹

Affiliation:

1. Seoul National University, Seoul, South Korea

2. Adobe Research, San Jose, CA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3357384.3358148

Reference17 articles.

1. Yoon Kim. 2014. Convolutional Neural Networks for Sentence Classification. In EMNLP. 1746--1751. Yoon Kim. 2014. Convolutional Neural Networks for Sentence Classification. In EMNLP. 1746--1751.

2. Ryan Lowe Nissan Pow Iulian Serban and Joelle Pineau. 2015. The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems. In SIGDIAL. 285--294. Ryan Lowe Nissan Pow Iulian Serban and Joelle Pineau. 2015. The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems. In SIGDIAL. 285--294.

3. Harish Tayyar Madabushi Mark Lee and John Barnden. 2018. Integrating Question Classification and Deep Learning for improved Answer Selection. In ACL. 3283--3294. Harish Tayyar Madabushi Mark Lee and John Barnden. 2018. Integrating Question Classification and Deep Learning for improved Answer Selection. In ACL. 3283--3294.

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