You are here

Shallow Semantics for Extractive Summarization using Connexor Machinese Semantics

TitleShallow Semantics for Extractive Summarization using Connexor Machinese Semantics
Publication TypeConference Paper
Year of Publication2011
AuthorsKipp, D
Conference NameWorkshop on Automatic Text Summarization 2011
Conference LocationSt. John’s, Newfoundland and Labrador, Canada
Keywordsautomatic summarization
Abstract

Abstract. Connexor Machinese Semantics is one of the most elaborate tools for providing semantic information about a sentence. It has been hypothesized that semantic analysis of sentences is required in order to make significant improvements in automatic summarization. In this work, we look at what shallow semantic features are available that
might help to improve the responsiveness of a summary. While this approach is not likely to perform as well as full semantic analysis, it is considerably easier to achieve and could provide an important stepping stone in the direction of deeper semantic analysis.

URLhttp://www.site.uottawa.ca/~szpak/pub/TS11_proceedings.pdf#page=45