Text Clustering using a Word Net-based Knowledge-Base and the Lesk Algorithm
نویسندگان
چکیده
منابع مشابه
Distributional Lesk: Effective Knowledge-Based Word Sense Disambiguation
We propose a simple, yet effective, Word Sense Disambiguation method that uses a combination of a lexical knowledge-base and embeddings. Similar to the classic Lesk algorithm, it exploits the idea that overlap between the context of a word and the definition of its senses provides information on its meaning. Instead of counting the number of words that overlap, we use embeddings to compute the ...
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In this paper, we evaluate the variants of the Lesk algorithm to disambiguate Arabic words. In the first experiment we apply the original Lesk algorithm using the dictionary as a resource. As a second experience, we add some modifications for this algorithm, using the different similarity measures to determine the similarity relatedness between two concepts in Arabic Wordnet. We attempted to fi...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2012
ISSN: 0975-8887
DOI: 10.5120/7480-0545