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Glenn Carroll

dblp:88/1312 · DBLP profile ↗
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6ranked-venue papers
2as first author
0since 2021 · last 2007
—ORCID · none

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

Artificial intelligence and machine learning · 6 · 2 first-authorGraphics, computer vision, multimedia, augmented reality and games · 2

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.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%
Artificial intelligence
5 papers
Information extraction and text analysis · 51% Language models and text generation · 33% 3D vision · 16%

Topics — the 6 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
computational neuroscience
0.112007
On the Prospects for Building a Working Model of the Visual Cortex · AAAI 2007
Bioinformatics and computational biology › computational neuroscience › visual cortex
visual cortex modeling
0.112007
On the Prospects for Building a Working Model of the Visual Cortex · AAAI 2007
Natural language and speech › Information extraction and text analysis
syntactic parsing
0.031999
Inside-Outside Estimation of a Lexicalized PCFG for German · ACL 1999
Taggers for Parsers · Artif. Intell. 1996
Valence Induction with a Head-Lexicalized PCFG · EMNLP 1998
Natural language and speech › Language models and text generation › grammar formalisms
probabilistic context-free grammar
0.011999
Inside-Outside Estimation of a Lexicalized PCFG for German · ACL 1999
Natural language and speech › Information extraction and text analysis
lexical semantics
0.011998
Valence Induction with a Head-Lexicalized PCFG · EMNLP 1998
Natural language and speech › Language models and text generation › language modeling
statistical language modeling
0.011994
Context-Sensitive Statistics For Improved Grammatical Language Models · AAAI 1994

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

inside-outside algorithm · 0.0expectation-maximization · 0.0head-lexicalized probabilistic context-free grammar · 0.0tagging · 0.0parsing · 0.0statistical language modeling · 0.0
YearPublicationVenuePosition
2007 On the Prospects for Building a Working Model of the Visual Cortex
Thomas L. Dean, Glenn Carroll, Richard Washington
AAAI2
1999 Inside-Outside Estimation of a Lexicalized PCFG for German
abstract
The paper describes an extensive experiment in inside-outside estimation of a lexicalized probabilistic context free grammar for German verb-final clauses. Grammar and formalism features which make the experiment feasible are described. Successive models are evaluated on precision and recall of phrase markup.
Franz Beil, Glenn Carroll, Detlef Prescher, Stefan Riezler, Mats Rooth
ACL2
1998 Valence Induction with a Head-Lexicalized PCFG
Glenn Carroll, Mats Rooth
EMNLP1
1996 Taggers for Parsers
Eugene Charniak, Glenn Carroll, John E. Adcock, Anthony R. Cassandra, Yoshihiko Gotoh, Jeremy Katz, Michael L. Littman, John McCann
Artif. Intell.2
1994 Context-Sensitive Statistics For Improved Grammatical Language Models
Eugene Charniak, Glenn Carroll
AAAI2
1991 A Probabilistic Analysis of Marker-Passing Techniques for Plan-Recognition
Glenn Carroll, Eugene Charniak
UAI1