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Amichai Kronfeld

dblp:19/3965 · DBLP profile ↗
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4ranked-venue papers
3as first author
0since 2021 · last 1997
—ORCID · none

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

Artificial intelligence and machine learning · 4 · 3 first-authorGraphics, computer vision, multimedia, augmented reality and games · 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 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Information extraction and text analysis › natural language semantics
computational semantics
0.011987
A Computational Model of Referring · IJCAI 1987
Natural language and speech › Information extraction and text analysis › coreference resolution
reference resolution
0.011987
A Computational Model of Referring · IJCAI 1987
YearPublicationVenuePosition
1997 Pragmatics & Cognition announces a special issue on The Concept of Reference in the Cognitive Sciences
Amichai Kronfeld, Lawrence Roberts
J. Exp. Theor. Artif. Intell.1
1989 Conversationally Relevant Descriptions
abstract
Conversationally relevant descriptions are definite descriptions that are not merely tools for the identification of a referent, but are also crucial to the discourse in other respects. I analyse the uses of such descriptions in assertions as conveying a particular type of conversational implicatures. Such implicatures can be represented within the framework of possible world semantics. The analysis is extended to non-assertive illocutionary acts on the one hand, and to indefinite descriptions on the other.
Amichai Kronfeld
ACL1
1987 A Computational Model of Referring
Douglas E. Appelt, Amichai Kronfeld
IJCAI2
1986 Donnellan's Distinction and a Computational Model of Reference
abstract
In this paper, I describe how Donnellan's distinction between referential and attributive uses of definite descriptions should be represebnted in a computational model of reference. After briefly discussing the significance of Donnellan's distinction, I reinterpret it as being three-tiered, relating to object representation, referring intentions, and choiceo of referring expression. I then present a cognitive model of referring, the components of which correspond to this analysis, and discuss the interaction that takes place among those components. Finally, the implementation of this model, now in progress, is described.
Amichai Kronfeld
ACL1