Content Driven Enrichment of Formal Text using Concept Definitions and Applications-Reference-Cited by-同舟云学术

Content Driven Enrichment of Formal Text using Concept Definitions and Applications

Published:2018-07-03 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th on Hypertext and Social Media
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Author:

Jain Abhinav¹,Gupta Nitin¹,Mujumdar Shashank¹,Mehta Sameep¹,Madhok Rishi²

Affiliation:

1. IBM Research India, New Delhi, India

2. Delhi Technological University, New Delhi, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3209542.3209566

Reference15 articles.

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2. Rakesh Agrawal Sreenivas Gollapudi Krishnaram Kenthapadi Nitish Srivastava and Raja Velu. 2010. Enriching textbooks through data mining. In DEV. ACM. 10.1145/1926180.1926204 Rakesh Agrawal Sreenivas Gollapudi Krishnaram Kenthapadi Nitish Srivastava and Raja Velu. 2010. Enriching textbooks through data mining. In DEV. ACM. 10.1145/1926180.1926204

3. Luis Espinosa Anke Horacio Saggion and Francesco Ronzano. 2015. Weakly supervised definition extraction. In RANLP. Luis Espinosa Anke Horacio Saggion and Francesco Ronzano. 2015. Weakly supervised definition extraction. In RANLP.

4. Danqi Chen and Christopher Manning. 2014. A fast and accurate dependency parser using neural networks EMNLP. Danqi Chen and Christopher Manning. 2014. A fast and accurate dependency parser using neural networks EMNLP.

5. Jonathan Gordon Linhong Zhu Aram Galstyan Prem Natarajan and Gully Burns. 2016. Modeling Concept Dependencies in a Scientific Corpus. ACL. ACM. Jonathan Gordon Linhong Zhu Aram Galstyan Prem Natarajan and Gully Burns. 2016. Modeling Concept Dependencies in a Scientific Corpus. ACL. ACM.

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