The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Newness and Givenness of Information : Automated Identification in Written Discourse
|
|
Author(s): Philip M. McCarthy (The University of Memphis, USA), David Dufty (The Australian Bureau of Statistics, Australia), Christian F. Hempelmann (Purdue University, USA), Zhiqiang Cai (The University of Memphis, USA), Danielle S. McNamara (Arizona State University, USA)and Arthur C. Graesser (The University of Memphis, USA)
Copyright: 2012
Pages: 22
Source title:
Applied Natural Language Processing: Identification, Investigation and Resolution
Source Author(s)/Editor(s): Philip M. McCarthy (The University of Memphis, USA)and Chutima Boonthum-Denecke (Hampton University, USA)
DOI: 10.4018/978-1-60960-741-8.ch027
Purchase
|
Abstract
The identification of new versus given information within a text has been frequently investigated by researchers of language and discourse. Despite theoretical advances, an accurate computational method for assessing the degree to which a text contains new versus given information has not previously been implemented. This study discusses a variety of computational new/given systems and analyzes four typical expository and narrative texts against a widely accepted theory of new/given proposed by Prince (1981). Our findings suggest that a latent semantic analysis (LSA) based measure called span outperforms standard LSA in detecting both new and given information in text. Further, span outperforms standard LSA for distinguishing low versus high cohesion versions of text. Our results suggest that span may be a useful variable in a wide array of discourse analyses.
Related Content
|
Reinaldo Padilha França, Ana Carolina Borges Monteiro, Rangel Arthur, Yuzo Iano.
© 2021.
21 pages.
|
|
Abdul Kader Saiod, Darelle van Greunen.
© 2021.
28 pages.
|
|
Aswini R., Padmapriya N..
© 2021.
22 pages.
|
|
Zubeida Khan, C. Maria Keet.
© 2021.
21 pages.
|
|
Neha Gupta, Rashmi Agrawal.
© 2021.
20 pages.
|
|
Kamalendu Pal.
© 2021.
14 pages.
|
|
Joy Nkechinyere Olawuyi, Bernard Ijesunor Akhigbe, Babajide Samuel Afolabi, Attoh Okine.
© 2021.
19 pages.
|
|
|