Bradley A. Goodman

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10ranked-venue papers
6as first author
0since 2021 · last 2006
—ORCID · none

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

Artificial intelligence and machine learning · 5 · 3 first-authorHuman-computer interaction and ubiquitous computing · 5 · 3 first-authorGraphics, computer vision, multimedia, augmented reality and games · 3 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 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.

Artificial intelligence
3 papers
Information extraction and text analysis · 42% Question answering and dialogue systems · 34% Knowledge representation and reasoning · 24%
Human-computer interaction and pervasive computing
2 papers
Collaborative and social computing · 59% Human-AI interaction · 41%
Software engineering, system software, and programming languages
1 paper
Software testing · 77% Program verification · 23%

Topics — the 8 heaviest of 11, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Information extraction and text analysis › coreference resolution
reference resolution
0.021985
Repairing Reference Identification Failures by Relaxation · ACL 1985
Repairing Miscommunication: Relaxation in Reference · AAAI 1983
Knowledge, reasoning and agents › Knowledge representation and reasoning
belief modeling
0.011985
Repairing Reference Identification Failures by Relaxation · ACL 1985
Natural language and speech › Question answering and dialogue systems
dialogue
0.011983
Repairing Miscommunication: Relaxation in Reference · AAAI 1983
Software testing
test coverage
0.011979
JETS: Achieving Completeness through Coverage and Closure · IJCAI 1979
Natural language and speech › Question answering and dialogue systems › natural language interface
natural language database interface
0.011977
Writing a Natural Language Data Base System · IJCAI 1977
Natural language and speech › Question answering and dialogue systems
natural language interface
0.011977
Writing a Natural Language Data Base System · IJCAI 1977
Human-AI interaction › large language model interaction › language-based interaction
natural language interface
0.011985
Repairing Reference Identification Failures by Relaxation · ACL 1985
Human-AI interaction
conversational agents
0.011983
Repairing Miscommunication: Relaxation in Reference · AAAI 1983

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

relaxation-based repair · 0.0case study · 0.0
YearPublicationVenuePosition
2006 Using Dialogue Features to Predict Trouble During Collaborative Learning
Bradley A. Goodman, Frank Linton, Robert Gaimari, Janet Hitzeman, Helen Ross, Guido Zarrella
User Model. User Adapt. Interact.1
2005 Using Dialogue Features to Predict Trouble During Collaborative Learning
Bradley A. Goodman, Frank Linton, Robert Gaimari, Janet Hitzeman, Helen Ross, Guido Zarrella
User Model. User Adapt. Interact.1
2004 Workshop on Designing Computational Models of Collaborative Learning Interaction
Amy Soller, Patrick Jermann, Martin Mühlenbrock, Alejandra Martínez-Monés, Angeles Constantino González, Alain Derycke, Pierre Dillenbourg, Bradley A. Goodman, Katrin Gaßner, Elena Gaudioso, Peter Reimann 0001, Marta Costa Rosatelli, Ronald H. Stevens, Julita Vassileva
Intelligent Tutoring Systems8
1998 Promoting Effective Peer Interaction in an Intelligent Collaborative Learning System
Amy Soller, Bradley A. Goodman, Frank Linton, Robert Gaimari
Intelligent Tutoring Systems2
1992 On the Interaction between Plan Recognition and Intelligent Interfaces
Bradley A. Goodman, Diane J. Litman
User Model. User Adapt. Interact.1
1986 Reference Identification and Reference Identification Failures
Bradley A. Goodman
Comput. Linguistics1
1985 Repairing Reference Identification Failures by Relaxation
abstract
The goal of thls work is the enrichment of human-machlne mteractIons in a natural language envlronment. 1We want to provide a framework less restrictive than earlier ones by allowing a speaker leeway tn forming an utterance about a task and in determining the conversational vehicle to deliver it, A speaker and listener cannot be assured to have the same beliefs, contexts, backgrounds or goals at each point in a conversation.As a result, dlfflcultles and mistakes arise when a listener interprets a speakers utterance.These mistakes can lead to various kinds of mlsunderstandlngs between speaker and hstener.including reference failures or failure to understand the speaker's mtentlon.We call these mtsunderstandlngs mlscommunmatlon Such m~stakes constitute a klnd of "ill-formed" input that can slow down end possibly break down communication.Our goal ~s to recognize and Isolate such mlscommunlcattons and circumvent them.Thls paper will hlghhght a particular class of mlscommunlcatlon -reference problems -by descrlbmg a case study, includlng techniques for avoldlng failures of reference [J starts to install the BASEVALVE.backs off, looks at it again and then goes ahead and installs it] J. 8 Okay A: 9 Now screw that blue cap onto I0. the bottom of the maln tube.[J screws TUBEBASE onto MAINTUBE] J. 11.Okay A. 12 Now.there's a--13.a red plastic piece [J starts for NOZZLE]14 that has four gizmos on It.
Bradley A. Goodman
ACL1
1983 Repairing Miscommunication: Relaxation in Reference
Bradley A. Goodman
AAAI1
1979 JETS: Achieving Completeness through Coverage and Closure
Tim Finin, Bradley A. Goodman, Harry R. Tennant
IJCAI2
1977 Writing a Natural Language Data Base System
David L. Waltz, Bradley A. Goodman
IJCAI2