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Elizabeth A. Hinkelman

dblp:36/2087 · DBLP profile ↗
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6ranked-venue papers
3as first author
0since 2021 · last 1994
—ORCID · none

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

Artificial intelligence and machine learning · 6 · 3 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author

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
Question answering and dialogue systems · 50% Knowledge representation and reasoning · 50%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Knowledge representation and reasoning › reasoning about action and change
plan inference
0.011989
Two Constraints on Speech Act Ambiguity · ACL 1989

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

plan-based reasoning · 0.0
YearPublicationVenuePosition
1994 Communicating With Multiple Agents
Elizabeth A. Hinkelman, Stephen P. Spackman
COLING1
1994 DISCO-An HPSG-based NLP System and its Application for Appointment Scheduling Project Note
Hans Uszkoreit, Rolf Backofen, Stephan Busemann, Abdel Kader Diagne, Elizabeth A. Hinkelman, Walter Kasper, Bernd Kiefer, Hans-Ulrich Krieger, Klaus Netter, Günter Neumann, Stephan Oepen, Stephen P. Spackman
COLING5
1992 Intonation and the request/question distinction
Elizabeth A. Hinkelman
ICSLP1
1992 Introduction to the Special Issue on Non-Literal Language
Dan Fass, James H. Martin, Elizabeth A. Hinkelman
Comput. Intell.3
1992 Conversation Acts in Task-Oriented Spoken Dialogue
abstract
A linguistic form's compositional, timeless meaning can be surrounded or even contradicted by various social, aesthetic, or analogistic companion meanings. This paper addresses a series of problems in the structure of spoken language discourse, including turn‐taking and grounding. It views these processes as composed of fine‐grained actions, which resemble speech acts both in resulting from a computational mechanism of planning and in having a rich relationship to the specific linguistic features which serve to indicate their presence. The resulting notion of Conversation Acts is more general than speech act theory, encompassing not only the traditional speech acts but turn‐taking, grounding, and higher‐level argumentation acts as well. Furthermore, the traditional speech acts in this scheme become fully joint actions, whose successful performance requires full listener participation. This paper presents a detailed analysis of spoken language dialogue. It shows the role of each class of conversation acts in discourse structure, and discusses how each class can be processed and recognized. Conversation acts, it will be seen, better account for the success of conversation than speech act theory alone. They also provide a pragmatic view of meaning in which the literal/non‐literal distinction is simply irrelevant.
David R. Traum, Elizabeth A. Hinkelman
Comput. Intell.2
1989 Two Constraints on Speech Act Ambiguity
abstract
Existing plan-based theories of speech act interpretation do not account for the conventional aspect of speech acts. We use patterns of linguistic features (e.g. mood, verb form, sentence adverbials, thematic roles) to suggest a range of speech act interpretations for the utterance. These are filtered using plan-based conversational implicatures to eliminate inappropriate ones. Extended plan reasoning is available but not necessary for familiar forms. Taking speech act ambiguity seriously, with these two constraints, explains how "Can you pass the salt?" is a typical indirect request while "Are you able to pass the salt?" is not.
Elizabeth A. Hinkelman, James F. Allen
ACL1