Constructing a Class-Based Lexical Dictionary using Interactive Topic Models

Kugatsu Sadamitsu, Kuniko Saito, Kenji Imamura, Yoshihiro Matsuo


Abstract
This paper proposes a new method of constructing arbitrary class-based related word dictionaries on interactive topic models; we assume that each class is described by a topic. We propose a new semi-supervised method that uses the simplest topic model yielded by the standard EM algorithm; model calculation is very rapid. Furthermore our approach allows a dictionary to be modified interactively and the final dictionary has a hierarchical structure. This paper makes three contributions. First, it proposes a word-based semi-supervised topic model. Second, we apply the semi-supervised topic model to interactive learning; this approach is called the Interactive Topic Model. Third, we propose a score function; it extracts the related words that occupy the middle layer of the hierarchical structure. Experiments show that our method can appropriately retrieve the words belonging to an arbitrary class.
Anthology ID:
L12-1119
Volume:
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)
Month:
May
Year:
2012
Address:
Istanbul, Turkey
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Mehmet Uğur Doğan, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
2590–2595
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/279_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Kugatsu Sadamitsu, Kuniko Saito, Kenji Imamura, and Yoshihiro Matsuo. 2012. Constructing a Class-Based Lexical Dictionary using Interactive Topic Models. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 2590–2595, Istanbul, Turkey. European Language Resources Association (ELRA).
Cite (Informal):
Constructing a Class-Based Lexical Dictionary using Interactive Topic Models (Sadamitsu et al., LREC 2012)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/279_Paper.pdf