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Scott Safier

dblp:68/1164 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1985
—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 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Information extraction and text analysis
syntactic parsing
0.011985
Semantic Caseframe Parsing & Syntactic Generality · ACL 1985
Natural language and speech › Information extraction and text analysis › syntactic parsing
robust parsing
0.011985
Semantic Caseframe Parsing & Syntactic Generality · ACL 1985
YearPublicationVenuePosition
1985 Semantic Caseframe Parsing & Syntactic Generality
abstract
We have implemented a restricted domain parser called Plume.™ Building on previous work at Carnegie-Mellon University e.g. [4. 5. 8]. Plume's approach to parsing is based on semantic caseframe instantiation. This has the advantages of efficiency on grammatical input and robustness in the face of ungrammatical input. While Plume is well adapted to simple declarative and imperative utterances. It handles passives relative clauses and interrogatives in an ad hoc manner leading to patchy syntactic coverage. This paper outlines Plume as it currently exists and describes our detailed design for extending Plume to handle passives relative clauses and interrogatives in a general manner
Philip J. Hayes, Peggy M. Anderson, Scott Safier
ACL3