Product Question Intent Detection using Indicative Clause Attention and Adversarial Learning

Author:

Yu Qian1,Lam Wai1

Affiliation:

1. The Chinese University of Hong Kong, Hong Kong, Hong Kong

Funder

Research Grant Council of the Hong Kong Special Administrative Region, China

Publisher

ACM

Reference31 articles.

1. Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio . 2015. Neural Machine Translation by Jointly Learning to Align and Translate The 2015 International Conference on Learning Representations. Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio . 2015. Neural Machine Translation by Jointly Learning to Align and Translate The 2015 International Conference on Learning Representations.

2. David J Brenes Daniel Gayo-Avello and Kilian Pérez-González . 2009. Survey and evaluation of query intent detection methods Proceedings of the 2009 ACM Workshop on Web Search Click Data. 1--7. 10.1145/1507509.1507510 David J Brenes Daniel Gayo-Avello and Kilian Pérez-González . 2009. Survey and evaluation of query intent detection methods Proceedings of the 2009 ACM Workshop on Web Search Click Data. 1--7. 10.1145/1507509.1507510

3. A taxonomy of web search

4. An CNN-LSTM Attention Approach to Understanding User Query Intent from Online Health Communities

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The Influencing Factors of the Helpfulness of User-Generated Product Q&As;SAGE Open;2023-10

2. An Intent Taxonomy for Questions Asked in Web Search;Proceedings of the 2021 Conference on Human Information Interaction and Retrieval;2021-03-14

3. Open Intent Extraction from Natural Language Interactions;Proceedings of The Web Conference 2020;2020-04-19

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