Summary of the paper
| Title | Constructing a Class-Based Lexical Dictionary using Interactive Topic Models |
|---|---|
| Authors | Kugatsu Sadamitsu, Kuniko Saito, Kenji Imamura and 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. |
| Topics | Ontologies, Statistical and machine learning methods, Lexicon, lexical database |
Full paper  |
Constructing a Class-Based Lexical Dictionary using Interactive Topic Models |
| Bibtex | @InProceedings{SADAMITSU12.279, author = {Kugatsu Sadamitsu and Kuniko Saito and Kenji Imamura and Yoshihiro Matsuo}, title = {Constructing a Class-Based Lexical Dictionary using Interactive Topic Models}, booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)}, year = {2012}, month = {may}, date = {23-25}, address = {Istanbul, Turkey}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Uğur Doğan and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-7-7}, language = {english} } |