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Sheldon Nicholl

dblp:42/6903 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 1991
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 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
2 papers
Language models and text generation · 64% Question answering and dialogue systems · 28% Knowledge representation and reasoning · 8%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational social science and digital humanities · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Language models and text generation › language acquisition
language acquisition modeling		 0.011991
Computer Modelling of Acquisition Orders in Child Language · ML 1991
Computational social science and digital humanities › psycholinguistics
child language acquisition		 0.011991
Computer Modelling of Acquisition Orders in Child Language · ML 1991
Natural language and speech › Question answering and dialogue systems
natural language interface		 0.011985
An Eclectic Approach to Building Natural Languages Interfaces · ACL 1985
Knowledge, reasoning and agents › Knowledge representation and reasoning
expert systems		 0.011985
An Eclectic Approach to Building Natural Languages Interfaces · ACL 1985

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

computer modeling · 0.0semantic grammar · 0.0lexical-functional grammar · 0.0incremental parsing · 0.0
YearPublicationVenuePosition
1991 Computer Modelling of Acquisition Orders in Child Language
Sheldon Nicholl, David C. Wilkins
 ML1
1985 An Eclectic Approach to Building Natural Languages Interfaces
abstract
INKA is a natural language interface to facilitate knowledge acquisition during expert system development for electronic instrument trouble-shooting. The expert system design methodology develops a domain definition, called GLIB, in the form of a semantic grammar. This grammar format enables GLIB to be used with the INGLISH interface, which constrains users to create statements within a subset of English. Incremental parsing in INGLISH allows immediate remedial information to be generated if a user deviates from the sublanguage. Sentences are translated into production rules using the methodology of lexical-functional grammar. The system is written in Smalltalk and, in INKA, produces rules for a Prolog inference engine.
Brian Phillips, Michael J. Freiling, James H. Alexander, Steven Messick, Steven Rehfuss, Sheldon Nicholl
 ACL6