Content and Context: Two-pronged Bootstrapped Learning for Regex-formatted Entity Extraction

Stanley Simoes, Deepak Padmanabhan, Munu Sairamesh, Deepak Khemani, Sameep Mehta

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

201 Downloads (Pure)

Original language	English
Title of host publication	Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence
Publisher	Association for the Advancement of Artificial Intelligence (AAAI)
Publication status	Early online date - 02 Feb 2018
Event	AAAI 2018 - New Orleans, New Orleans, United States Duration: 02 Feb 2018 → 07 Feb 2018 https://aaai.org/Conferences/AAAI-18/

Conference	AAAI 2018
Country	United States
City	New Orleans
Period	02/02/2018 → 07/02/2018
Internet address	https://aaai.org/Conferences/AAAI-18/

Content and Context: Two-pronged Bootstrapped Learning for Regexformatted Entity Extraction
.Copyright © 1995–2014 Association for the Advancement of Artificial Intelligence. This work is made available online in accordance with the publisher’s policies. Please refer to any applicable terms of use of the publisher.
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Cite this

Simoes, S., Padmanabhan, D., Sairamesh, M., Khemani, D., & Mehta, S. (2018). Content and Context: Two-pronged Bootstrapped Learning for Regex-formatted Entity Extraction. In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence Association for the Advancement of Artificial Intelligence (AAAI).

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Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence. Association for the Advancement of Artificial Intelligence (AAAI), 2018.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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