Non-unique cluster numbers determination methods based on stability in spectral clustering

Borjigin, Sumuya; Guo, Chonghui

doi:10.1007/s10115-012-0547-0

Cited by 7 publications

(1 citation statement)

References 13 publications

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“…In this paper, we propose a new word sense discrimination method for IR based on spectral clustering. This state of the art clustering technique is now a hot topic; for example, Takacs and Demiris (2009) studied the use of spectral clustering in multi-agent systems while Borjigin and Guo (2012) recently discussed the cluster number determination in spectral clustering. Spectral clustering has been used in WSD for the first time by Popescu and Hristea (2011) who point out the importance of the clustering method used in unsupervised WSD.…”

Section: Introductionmentioning

confidence: 99%

Word sense discrimination in information retrieval: A spectral clustering-based approach

Chifu

Hristea

Mothe

et al. 2015

Information Processing & Management

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Word sense ambiguity has been identified as a cause of poor precision in information retrieval (IR) systems. Word sense disambiguation and discrimination methods have been defined to help systems choose which documents should be retrieved in relation to an ambiguous query. However, the only approaches that show a genuine benefit for word sense discrimination or disambiguation in IR are generally supervised ones. In this paper we propose a new unsupervised method that uses word sense discrimination in IR. The method we develop is based on spectral clustering and reorders an initially retrieved document list by boosting documents that are semantically similar to the target query. For several TREC ad hoc collections we show that our method is useful in the case of queries which contain ambiguous terms. We are interested in improving the level of precision after 5, 10 and 30 retrieved documents (P@5, P@10, P@30) respectively. We show that precision can be improved by 8% above current state-of-the-art baselines. We also focus on poor performing queries.

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Section: Introductionmentioning

confidence: 99%