Measuring Semantic Similarity of Words Using Concept Networks

Gábor Recski, Eszter Iklódi, Katalin Pajkossy, András Kornai


Anthology ID:
W16-1622
Volume:
Proceedings of the 1st Workshop on Representation Learning for NLP
Month:
August
Year:
2016
Address:
Berlin, Germany
Editors:
Phil Blunsom, Kyunghyun Cho, Shay Cohen, Edward Grefenstette, Karl Moritz Hermann, Laura Rimell, Jason Weston, Scott Wen-tau Yih
Venue:
RepL4NLP
SIG:
SIGREP
Publisher:
Association for Computational Linguistics
Note:
Pages:
193–200
Language:
URL:
https://aclanthology.org/W16-1622
DOI:
10.18653/v1/W16-1622
Bibkey:
Cite (ACL):
Gábor Recski, Eszter Iklódi, Katalin Pajkossy, and András Kornai. 2016. Measuring Semantic Similarity of Words Using Concept Networks. In Proceedings of the 1st Workshop on Representation Learning for NLP, pages 193–200, Berlin, Germany. Association for Computational Linguistics.
Cite (Informal):
Measuring Semantic Similarity of Words Using Concept Networks (Recski et al., RepL4NLP 2016)
Copy Citation:
PDF:
https://aclanthology.org/W16-1622.pdf
Code
 recski/wordsim