Open Intent Extraction from Natural Language Interactions-Reference-Cited by-同舟云学术

Open Intent Extraction from Natural Language Interactions

Published:2020-04-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of The Web Conference 2020
language:
Short-container-title:

Author:

Vedula Nikhita¹,Lipka Nedim²,Maneriker Pranav¹,Parthasarathy Srinivasan¹

Affiliation:

1. The Ohio State University

2. Adobe

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3366423.3380268

Reference75 articles.

1. Swati Agarwal and Ashish Sureka. 2017. Characterizing Linguistic Attributes for Automatic Classification of Intent Based Racist/Radicalized Posts on Tumblr Micro-Blogging Website. arXiv preprint arXiv:1701.04931(2017). Swati Agarwal and Ashish Sureka. 2017. Characterizing Linguistic Attributes for Automatic Classification of Intent Based Racist/Radicalized Posts on Tumblr Micro-Blogging Website. arXiv preprint arXiv:1701.04931(2017).

2. Leveraging Linguistic Structure For Open Domain Information Extraction

3. Easy contextual intent prediction and slot detection

4. Claire Bonial Julia Bonn Kathryn Conger Jena D Hwang and Martha Palmer. 2014. PropBank: Semantics of New Predicate Types.. In LREC. 3013–3019. Claire Bonial Julia Bonn Kathryn Conger Jena D Hwang and Martha Palmer. 2014. PropBank: Semantics of New Predicate Types.. In LREC. 3013–3019.

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

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