Product Question Answering Using Customer Generated Content - Research Challenges

Author:

Carmel David1,Lewin-Eytan Liane1,Maarek Yoelle1

Affiliation:

1. Amazon Research, Haifa, Israel

Publisher

ACM

Cited by 11 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. A linguistic variable of product-related question answering review system;Systems and Soft Computing;2023-12

2. Sentiment enhanced answer generation and information fusing for product-related question answering;Information Sciences;2023-05

3. Fusing Attribute Type Features for Attribute Value Extraction from Product via Question Answering;Proceedings of the 2022 5th International Conference on Machine Learning and Natural Language Processing;2022-12-23

4. AMIF: A Hybrid Model for Improving Fact Checking in Product Question Answering;2022 International Joint Conference on Neural Networks (IJCNN);2022-07-18

5. Toward Personalized Answer Generation in E-Commerce via Multi-perspective Preference Modeling;ACM Transactions on Information Systems;2022-03-09

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