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Marilyn W. Friedman

dblp:86/10672 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1987
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Information extraction and text analysis · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Information extraction and text analysis › discourse analysis › discourse processing
centering theory
0.011987
A Centering Approach to Pronouns · ACL 1987
Natural language and speech › Information extraction and text analysis
discourse analysis
0.011987
A Centering Approach to Pronouns · ACL 1987
Natural language and speech › Information extraction and text analysis › coreference resolution
pronoun resolution
0.011987
A Centering Approach to Pronouns · ACL 1987

Methods — techniques the papers use, named apart from their topics

HPSG · 0.0
YearPublicationVenuePosition
1987 A Centering Approach to Pronouns
abstract
In this paper we present a formalization of the centering approach to modeling attentional structure in discourse and use it as the basis for an algorithm to track discourse context and bind pronouns. As described in [GJW86], the process of centering attention on entities in the discourse gives rise to the intersentential transitional states of continuing, retaining and shifting. We propose an extension to these states which handles some additional cases of multiple ambiguous pronouns. The algorithm has been implemented in an HPSG natural language system which serves as the interface to a database query application.
Susan Brennan, Marilyn W. Friedman, Carl Pollard
ACL2