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David R. Pierce

dblp:00/6868 · DBLP profile ↗
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4ranked-venue papers
2as first author
0since 2021 · last 2003
—ORCID · none

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

Artificial intelligence and machine learning · 4 · 2 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
3 papers
Information extraction and text analysis · 63% Motion planning and robot control · 18% Learning paradigms · 11%

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

TopicWeightPapersLastEvidence papers
Natural language and speech › Information extraction and text analysis › syntactic parsing
chunking
0.011999
Combining Error-Driven Pruning and Classification for Partial Parsing · ICML 1999
Machine learning › Learning paradigms
semi-supervised learning
0.012001
Limitations of Co-Training for Natural Language Learning from Large Datasets · EMNLP 2001
Computer vision › Video understanding and tracking › human action analysis › action understanding
action discovery
0.011991
Learning a Set of Primitive Actions with an Uninterpreted Sensorimotor Apparatus · ML 1991
Robotics › Motion planning and robot control › robot learning
motion primitive learning
0.011991
Learning a Set of Primitive Actions with an Uninterpreted Sensorimotor Apparatus · ML 1991
Robotics › Motion planning and robot control › robot learning
sensorimotor learning
0.011991
Learning a Set of Primitive Actions with an Uninterpreted Sensorimotor Apparatus · ML 1991

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

co-training · 0.0error-driven pruning · 0.0classification · 0.0reinforcement learning · 0.0
YearPublicationVenuePosition
2003 Identifying Opinionated Sentences
Theresa Wilson, David R. Pierce, Janyce Wiebe
HLT-NAACL2
2001 Limitations of Co-Training for Natural Language Learning from Large Datasets
David R. Pierce, Claire Cardie
EMNLP1
1999 Combining Error-Driven Pruning and Classification for Partial Parsing
Claire Cardie, Scott Anthony Mardis, David R. Pierce
ICML3
1991 Learning a Set of Primitive Actions with an Uninterpreted Sensorimotor Apparatus
David R. Pierce
ML1