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EnglishKnowing the number of different individuals carrying the same name may improve the overall accuracy of a Person Cross Document Coreference System, which processes large corpora and clusters the name mentions according to the individuals carrying them. In this paper we present a series of methods of estimating this number. In particular, an estimation method based on name perplexity, which brings a large improvement over the baseline given by the gap statistics, is instrumental in reaching accurate clustering results because not only it can predict the number of clusters with a very good confidence, but also it can indicate what type of clustering method works best for each particular name.
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| Titolo: | Methods of estimating the number of clusters for person cross document coreference task | |
| Autori: | ||
| Data di pubblicazione: | 2012 | |
| Abstract: | Knowing the number of different individuals carrying the same name may improve the overall accuracy of a Person Cross Document Coreference System, which processes large corpora and clusters the name mentions according to the individuals carrying them. In this paper we present a series of methods of estimating this number. In particular, an estimation method based on name perplexity, which brings a large improvement over the baseline given by the gap statistics, is instrumental in reaching accurate clustering results because not only it can predict the number of clusters with a very good confidence, but also it can indicate what type of clustering method works best for each particular name. | |
| Handle: | http://hdl.handle.net/11582/251425 | |
| Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
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