all AI news
Hyperbolic Relevance Matching for Neural Keyphrase Extraction. (arXiv:2205.02047v1 [cs.CL])
Web: http://arxiv.org/abs/2205.02047
May 5, 2022, 1:11 a.m. | Mingyang Song, Yi Feng, Liping Jing
cs.CL updates on arXiv.org arxiv.org
Keyphrase extraction is a fundamental task in natural language processing and
information retrieval that aims to extract a set of phrases with important
information from a source document. Identifying important keyphrase is the
central component of the keyphrase extraction task, and its main challenge is
how to represent information comprehensively and discriminate importance
accurately. In this paper, to address these issues, we design a new hyperbolic
matching model (HyperMatch) to represent phrases and documents in the same
hyperbolic space and …
More from arxiv.org / cs.CL updates on arXiv.org
Latest AI/ML/Big Data Jobs
Data & Insights Strategy & Innovation General Manager
@ Chevron Services Company, a division of Chevron U.S.A Inc. | Houston, TX
Faculty members in Research areas such as Bayesian and Spatial Statistics; Data Privacy and Security; AI/ML; NLP; Image and Video Data Analysis
@ Ahmedabad University | Ahmedabad, India
Director, Applied Mathematics & Computational Research Division
@ Lawrence Berkeley National Lab | Berkeley, Ca
Business Data Analyst
@ MainStreet Family Care | Birmingham, AL
Assistant/Associate Professor of the Practice in Business Analytics
@ Georgetown University McDonough School of Business | Washington DC
Senior Data Science Writer
@ NannyML | Remote