How well can a corpus-derived co-occurrence network simulate human associative behavior?

Gemma Bel Enguix, Reinhard Rapp, Michael Zock


Anthology ID:
W14-0509
Volume:
Proceedings of the 5th Workshop on Cognitive Aspects of Computational Language Learning (CogACLL)
Month:
April
Year:
2014
Address:
Gothenburg, Sweden
Editors:
Alessandro Lenci, Muntsa Padró, Thierry Poibeau, Aline Villavicencio
Venue:
CogACLL
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
43–48
Language:
URL:
https://aclanthology.org/W14-0509
DOI:
10.3115/v1/W14-0509
Bibkey:
Cite (ACL):
Gemma Bel Enguix, Reinhard Rapp, and Michael Zock. 2014. How well can a corpus-derived co-occurrence network simulate human associative behavior?. In Proceedings of the 5th Workshop on Cognitive Aspects of Computational Language Learning (CogACLL), pages 43–48, Gothenburg, Sweden. Association for Computational Linguistics.
Cite (Informal):
How well can a corpus-derived co-occurrence network simulate human associative behavior? (Bel Enguix et al., CogACLL 2014)
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PDF:
https://preview.aclanthology.org/nschneid-patch-5/W14-0509.pdf