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CORR
1998
Springer
87views Education» more  CORR 1998»
13 years 5 months ago
Word Clustering and Disambiguation Based on Co-occurrence Data
We address the problem of clustering words (or constructing a thesaurus) based on co-occurrence data, and using the acquired word classes to improve the accuracy of syntactic disa...
Hang Li, Naoki Abe
ACL
2006
13 years 7 months ago
Novel Association Measures Using Web Search with Double Checking
A web search with double checking model is proposed to explore the web as a live corpus. Five association measures including variants of Dice, Overlap Ratio, Jaccard, and Cosine, ...
Hsin-Hsi Chen, Ming-Shun Lin, Yu-Chuan Wei
LREC
2010
162views Education» more  LREC 2010»
13 years 7 months ago
Construction of a Benchmark Data Set for Cross-lingual Word Sense Disambiguation
Given the recent trend to evaluate the performance of word sense disambiguation systems in a more application-oriented set-up, we report on the construction of a multilingual benc...
Els Lefever, Véronique Hoste
DAGM
1998
Springer
13 years 9 months ago
Discrete Mixture Models for Unsupervised Image Segmentation
This paper introduces a novel statistical mixture model for probabilistic clustering of histogram data and, more generally, for the analysis of discrete co occurrence data. Adoptin...
Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann
EMNLP
2006
13 years 7 months ago
Graph-based Word Clustering using a Web Search Engine
Word clustering is important for automatic thesaurus construction, text classification, and word sense disambiguation. Recently, several studies have reported using the web as a c...
Yutaka Matsuo, Takeshi Sakaki, Koki Uchiyama, Mits...