Article | Proceedings of the 21st Nordic Conference on Computational Linguistics, NoDaLiDa, 22-24 May 2017, Gothenburg, Sweden | Finnish resources for evaluating language model semantics
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Title:
Finnish resources for evaluating language model semantics
Author:
Viljami Venekoski: National Defence University, Helsinki, Finland Jouko Vankka: National Defence University, Helsinki, Finland
Download:
Full text (pdf)
Year:
2017
Conference:
Proceedings of the 21st Nordic Conference on Computational Linguistics, NoDaLiDa, 22-24 May 2017, Gothenburg, Sweden
Issue:
131
Article no.:
028
Pages:
231-236
No. of pages:
6
Publication type:
Abstract and Fulltext
Published:
2017-05-08
ISBN:
978-91-7685-601-7
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Series:
NEALT Proceedings Series
Publisher:
Linköping University Electronic Press, Linköpings universitet


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Distributional language models have consistently been demonstrated to capture semantic properties of words. However, research into the methods for evaluating the accuracy of the modeled semantics has been limited, particularly for less-resourced languages. This research presents three resources for evaluating the semantic quality of Finnish language distributional models: (1) semantic similarity judgment resource, as well as (2) a word analogy and (3) a word intrusion test set. The use of evaluation resources is demonstrated in practice by presenting them with different language models built from varied corpora.

Proceedings of the 21st Nordic Conference on Computational Linguistics, NoDaLiDa, 22-24 May 2017, Gothenburg, Sweden

Author:
Viljami Venekoski, Jouko Vankka
Title:
Finnish resources for evaluating language model semantics
References:

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Proceedings of the 21st Nordic Conference on Computational Linguistics, NoDaLiDa, 22-24 May 2017, Gothenburg, Sweden

Author:
Viljami Venekoski, Jouko Vankka
Title:
Finnish resources for evaluating language model semantics
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Last updated: 2017-02-21