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:
- 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)
- PDF:
- http://www.lrec-conf.org/proceedings/lrec2012/pdf/279_Paper.pdf