The Open UniversitySkip to content
 

Information status distinctions and referring expressions: An empirical study of references to people in news summaries

Siddharthan, Advaith; Nenkova, Ani and McKeown, Kathleen (2011). Information status distinctions and referring expressions: An empirical study of references to people in news summaries. Computational Linguistics, 37(4) pp. 811–842.

DOI (Digital Object Identifier) Link: https://doi.org/10.1162/COLI_a_00077
Google Scholar: Look up in Google Scholar

Abstract

Although there has been much theoretical work on using various information status distinctions to explain the form of references in written text, there have been few studies that attempt to automatically learn these distinctions for generating references in the context of computer-regenerated text. In this article, we present a model for generating references to people in news summaries that incorporates insights from both theory and a corpus analysis of human written summaries. In particular, our model captures how two properties of a person referred to in the summary—familiarity to the reader and global salience in the news story—affect the content and form of the initial reference to that person in a summary. We demonstrate that these two distinctions can be learned from a typical input for multi-document summarization and that they can be used to make regeneration decisions that improve the quality of extractive summaries.

Item Type: Journal Item
Copyright Holders: 2011 Association for Computational Linguistics
ISSN: 1530-9312
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 58883
Depositing User: Advaith Siddharthan
Date Deposited: 28 Jan 2019 14:19
Last Modified: 29 Mar 2019 11:13
URI: http://oro.open.ac.uk/id/eprint/58883
Share this page:

Metrics

Altmetrics from Altmetric

Citations from Dimensions

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU