On lexical level matching

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.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Computer Science

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2017

Author dc:creator

• Ling, Shaoshi

Contributors dc:contributor

• Roth, Dan

• Natural language processing (NLP)
• Similarity

Statement dc:rights

• Copyright 2017 Shaoshi Ling

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/98404

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/98404