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
- 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)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/W16-1622.pdf
- Code
- recski/wordsim