@inproceedings{lau-etal-2012-word,
title = "Word Sense Induction for Novel Sense Detection",
author = "Lau, Jey Han and
Cook, Paul and
McCarthy, Diana and
Newman, David and
Baldwin, Timothy",
booktitle = "Proceedings of the 13th Conference of the {E}uropean Chapter of the Association for Computational Linguistics",
month = apr,
year = "2012",
address = "Avignon, France",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/E12-1060",
pages = "591--601",
}
1. What is it?
They try to use the topic model for word sense induction task
2. What is amazing compared to previous works?
They demonstrate the effectiveness of using non-parametric formulations, HDP in word sense induction task.
3. Where is the key to technologies and techniques?
Hierarchical Dirichlet Process; HDP is a non-parametric formulations of topic models, which decides the number of topics automatically.
0. Paper
@inproceedings{lau-etal-2012-word, title = "Word Sense Induction for Novel Sense Detection", author = "Lau, Jey Han and Cook, Paul and McCarthy, Diana and Newman, David and Baldwin, Timothy", booktitle = "Proceedings of the 13th Conference of the {E}uropean Chapter of the Association for Computational Linguistics", month = apr, year = "2012", address = "Avignon, France", publisher = "Association for Computational Linguistics", url = "https://www.aclweb.org/anthology/E12-1060", pages = "591--601", }
1. What is it?
They try to use the topic model for word sense induction task
2. What is amazing compared to previous works?
They demonstrate the effectiveness of using non-parametric formulations, HDP in word sense induction task.
3. Where is the key to technologies and techniques?
Hierarchical Dirichlet Process; HDP is a non-parametric formulations of topic models, which decides the number of topics automatically.
4. How did evaluate it?
4.1 SemEval2010
4.2 SemEval2007
5. Is there a discussion?
6. Which paper should read next?