197 search results - page 13 / 40 » Word Clustering and Disambiguation Based on Co-occurrence Da... |
ACL
2001
13 years 9 months ago
2001
In this paper, a new language model, the Multi-Class Composite N-gram, is proposed to avoid a data sparseness problem for spoken language in that it is difficult to collect traini...
SIGIR
2005
ACM
14 years 1 months ago
2005
ACM
This paper presents an algorithm for unsupervised noun sense induction, based on clustering of Web search results. The algorithm does not utilize labeled training instances or any...
BMCBI
2005
13 years 7 months ago
2005
Background: The ability to distinguish between genes and proteins is essential for understanding biological text. Support Vector Machines (SVMs) have been proven to be very effici...
EMNLP
2010
13 years 5 months ago
2010
We describe a model for the lexical analysis of Arabic text, using the lists of alternatives supplied by a broad-coverage morphological analyzer, SAMA, which include stable lemma ...
ACL
1993
13 years 8 months ago
1993
In recent years there is much interest in word cooccurrence relations, such as n-grams, verb-object combinations, or cooccurrence within a limited context. This paper discusses ho...