FAQAugmenter: Suggesting Questions for Enterprise FAQ Pages-Reference-Cited by-同舟云学术

FAQAugmenter: Suggesting Questions for Enterprise FAQ Pages

Published:2020-01-20 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 13th International Conference on Web Search and Data Mining
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Author:

Chatterjee Ankush¹,Gupta Manish¹,Agrawal Puneet¹

Affiliation:

1. Microsoft AI Research, Hyderabad, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3336191.3371862

Reference17 articles.

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4. Daniel Cer Yinfei Yang Sheng-yi Kong Nan Hua Nicole Limtiaco Rhomni St John Noah Constant Mario Guajardo-Cespedes Steve Yuan Chris Tar et al. 2018. Universal sentence encoder. arXiv preprint arXiv:1803.11175 (2018). Daniel Cer Yinfei Yang Sheng-yi Kong Nan Hua Nicole Limtiaco Rhomni St John Noah Constant Mario Guajardo-Cespedes Steve Yuan Chris Tar et al. 2018. Universal sentence encoder. arXiv preprint arXiv:1803.11175 (2018).

5. Levent Ertöz Michael Steinbach and Vipin Kumar. 2004. Finding topics in collections of documents: A shared nearest neighbor approach. In Clustering and Information Retrieval. 83--103. Levent Ertöz Michael Steinbach and Vipin Kumar. 2004. Finding topics in collections of documents: A shared nearest neighbor approach. In Clustering and Information Retrieval. 83--103.

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