Name
Abstract | ||
|---|---|---|
Word Sense Induction is an open problem in Natural Language Processing. Many recent works have been addressing this problem with a wide spectrum of strategies based on content analysis. In this paper, we present a sense induction strategy exclusively based on link analysis over the Web. In particular, we explore the idea that the main different senses of a given word share similar linking properties and can be found by performing clustering with link-based similarity metrics. The evaluation results show that PageRank-based sense induction achieves interesting results when compared to state-of-the-art content-based algorithms in the context of Web Search Results Clustering.
|
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/JCDL.2014.6970227 | Digital Libraries |
Keywords | Field | DocType |
Internet,content management,natural language processing,pattern clustering,search engines,PageRank-based word sense induction,Web search results clustering,content analysis,link analysis,link-based similarity metrics,natural language processing,PageRank Clustering,Web Links,Word Sense Induction | Fuzzy clustering,PageRank,Content analysis,Open problem,Web page,Information retrieval,Correlation clustering,Computer science,Link analysis,Cluster analysis | Conference |
ISSN | ISBN | Citations |
2575-7865 | 978-1-4799-5569-5 | 1 |
PageRank | References | Authors |
0.36 | 5 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jose G. Moreno | 1 | 50 | 10.67 |
| Gaël Dias | 2 | 354 | 41.95 |