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Michael L. Mauldin

dblp:23/1165 · DBLP profile ↗
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5ranked-venue papers
4as first author
0since 2021 · last 1994
—ORCID · none

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

Artificial intelligence and machine learning · 4 · 3 first-authorGraphics, computer vision, multimedia, augmented reality and games · 3 · 2 first-authorDatabases, data management, data science and information retrieval · 1 · 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
3 papers
Question answering and dialogue systems · 88% Optimization for machine learning · 10% Knowledge representation and reasoning · 3%
Databases, data mining, and information retrieval
1 paper
Information retrieval · 100%

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

TopicWeightPapersLastEvidence papers
Natural language and speech › Question answering and dialogue systems › conversational agents
chatbot
0.011994
CHATTERBOTS, TINYMUDS, and the Turing Test: Entering the Loebner Prize Competition · AAAI 1994
Natural language and speech › Question answering and dialogue systems
turing test
0.011994
CHATTERBOTS, TINYMUDS, and the Turing Test: Entering the Loebner Prize Competition · AAAI 1994
Information retrieval › search engines › semantic search
conceptual retrieval
0.011991
Performance in FERRET: A Conceptual Information Retrieval System · SIGIR 1991
Machine learning › Optimization for machine learning › evolutionary computation
genetic algorithms
0.011984
Maintaining Diversity in Genetic Search · AAAI 1984
Natural language and speech › Question answering and dialogue systems
natural language interface
0.011983
The XCALIBUR Project: A Natural Language Interface to Expert Systems · IJCAI 1983
Knowledge, reasoning and agents › Knowledge representation and reasoning
expert systems
0.011983
The XCALIBUR Project: A Natural Language Interface to Expert Systems · IJCAI 1983

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

genetic algorithm · 0.0
YearPublicationVenuePosition
1994 CHATTERBOTS, TINYMUDS, and the Turing Test: Entering the Loebner Prize Competition
Michael L. Mauldin
AAAI1
1991 Performance in FERRET: A Conceptual Information Retrieval System
Michael L. Mauldin
SIGIR1
1984 Maintaining Diversity in Genetic Search
Michael L. Mauldin
AAAI1
1984 Semantic Rule Based Text Generation
abstract
This paper presents a semantically oriented, rule based method for single sentence text generation and discusses its implementation in the Kafka generator. This generator is part of the XCALIBUR natural language interface developed at CMU to provide natural language facilities for a wide range of expert systems and data bases. Kafka takes as input the knowledge representation used in XCALIBUR system and incrementally transforms it first into conceptual dependency graphs and then into English.1
Michael L. Mauldin
COLING1
1983 The XCALIBUR Project: A Natural Language Interface to Expert Systems
Jaime G. Carbonell, W. Mark Boggs, Michael L. Mauldin, Peter G. Anick
IJCAI3