Date of Award
1-1-2016
Language
English
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
College/School/Department
Department of Computer Science
Content Description
1 online resource (ii, 112 pages) : illustrations (some color)
Dissertation/Thesis Chair
Tomek Strzalkowski
Committee Members
Neil Murray, Ting Liu
Keywords
Computational linguistics, Automatic abstracting, Discourse analysis, Latent semantic indexing
Subject Categories
Computer Sciences
Abstract
Automatic summarization is the task of creating a set of short and concise sentences that capture the content of the original source material. Summaries should retain only the most relevant content of the source, while suppressing secondary and redundant information. Most existing approaches to automatic summarization have been applied to narrative documents such as news, reports, and technical documents. Relatively few techniques were proposed for summarizing meetings and other forms of interactive content.
Recommended Citation
Lin, Ching-Sheng, "Structured summarization of multi-party conversations" (2016). Legacy Theses & Dissertations (2009 - 2024). 1662.
https://scholarsarchive.library.albany.edu/legacy-etd/1662