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Title:On lexical level matching
Author(s):Ling, Shaoshi
Advisor(s):Roth, Dan
Department / Program:Computer Science
Discipline:Computer Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:M.S.
Genre:Thesis
Subject(s):NLP
Similarity
Abstract:In many natural language understanding applications, text processing requires comparing lexical units: words, phrases, name entities and sentences. A significant amount of research has taken place in studying evaluating similarity metrics between those units. In this thesis, we summarize some research work in computing lexical similarity. We describe a new approach to compute similarity between two spans of text, using multiple semantic-units level comparison measures to compute sentence-level similarity scores.
Issue Date:2017-07-17
Type:Thesis
URI:http://hdl.handle.net/2142/98404
Rights Information:Copyright 2017 Shaoshi Ling
Date Available in IDEALS:2017-09-29
Date Deposited:2017-08


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