UP thesis related to text summarization — research

From 2003.03.28:

Automated Newspaper Article Summarizer

Description: Limited to online World News text articles only, this
summarizer utilizes the algorithms presented by R. Barzilay and M.
Elhadad in their paper Using Lexical Chains for Text Summarization
(1997). The techniques and methods they primarily used are Text
Segmentation, Lexical Chains Computation and Sentence Selection and
Extraction. The summarizer also uses the WordNet Lexical Database as its
knowledgebase for word sense disambiguation and a Part-of-Speech Tagging
Algorithm for the selection of candidate words from the input text. The
algorithms used are based on shallow Linguistic Analysis Approach, which
doesn’t require a full semantic interpretation of the texts to produce
its summary.

Group Members: Marco Carmelo Solomon, Paul John Serrano, Gerardo
Dapulano Jr.