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Context-Based Similar Words Detection and Its Application in Specialized Search Engines
 

Summary: Context-Based Similar Words Detection and Its
Application in Specialized Search Engines
Hisham Al-Mubaid
University of Houston-Clear Lake
Department of Computer Science
Houston, TX 77058
hisham@cl.uh.edu
Ping Chen
University of Houston - Downtown
Department of Computer Science
Houston, TX 77002
chenp@uhd.edu
ABSTRACT
This paper presents a new context-based method for automatic
detection and extraction of similar and related words from texts.
Finding similar words is a very important task for many NLP
applications including anaphora resolution, document retrieval,
text segmentation, and text summarization. Here we use word
similarity to improve search quality for search engines in (general
and) specific domains. Our method is based on rules for

  

Source: Al-Mubaid, Hisham - School of Science and Computer Engineering, University of Houston-Clear Lake

 

Collections: Computer Technologies and Information Sciences