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Steven J. Weissman

dblp:35/6555 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 1976
—ORCID · none

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

Artificial intelligence and machine learning · 2Graphics, computer vision, multimedia, augmented reality and games · 2Systems, architecture and hardware · 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
3 papers
Information extraction and text analysis · 35% Planning, search and constraint satisfaction · 33% Question answering and dialogue systems · 32%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Question answering and dialogue systems › reasoning-based question answering
deductive question answering
0.021976
Semantic Modeling for Deductive Question-Answering · IEEE Trans. Computers 1976
Semantic Modeling for Deductive Question-Answering · IJCAI 1973
Natural language and speech › Information extraction and text analysis
semantic analysis
0.021976
Semantic Modeling for Deductive Question-Answering · IEEE Trans. Computers 1976
Semantic Modeling for Deductive Question-Answering · IJCAI 1973
Knowledge, reasoning and agents › Planning, search and constraint satisfaction
plan execution
0.011975
Planning And Execution in Incompletely Specified Environments · IJCAI 1975
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › planning under uncertainty
planning under incomplete information
0.011975
Planning And Execution in Incompletely Specified Environments · IJCAI 1975
Natural language and speech › Information extraction and text analysis
semantic parsing
0.011973
Semantic Modeling for Deductive Question-Answering · IJCAI 1973

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

time-frame reasoning · 0.0semantic modeling · 0.0contingent planning · 0.0
YearPublicationVenuePosition
1976 Semantic Modeling for Deductive Question-Answering
abstract
A description of techniques used for semantic modeling in a deductive question-answering system is given. The system maintains a dialog and is able to understand situations which can be expressed as a series of sequential time-frames. Specific relevant questions are asked by the system when it is unable to succeed in a given task. It can also provide reasons for its previous actions.
Kenneth Biss, Robert T. Chien, Fred A. Stahl, Steven J. Weissman
IEEE Trans. Computers4
1975 Planning And Execution in Incompletely Specified Environments
Robert T. Chien, Steven J. Weissman
IJCAI2
1973 Semantic Modeling for Deductive Question-Answering
Kenneth Biss, Robert T. Chien, Fred A. Stahl, Steven J. Weissman
IJCAI4