2020 - Fellow of the American Association for the Advancement of Science (AAAS)
1977 - IEEE Fellow For contributions to the characterization, analysis, and application of ferromagnetic materials in microwave devices.
His primary areas of study are Artificial intelligence, Natural language processing, Natural language understanding, Human–computer interaction and Temporal logic. His study ties his expertise on Interpretation together with the subject of Artificial intelligence. In the subject of general Natural language processing, his work in Parsing is often linked to Markup language, thereby combining diverse domains of study.
His Temporal logic research incorporates themes from Interval and Humanities. His research in Interval temporal logic intersects with topics in Frame problem and Local consistency. His Description logic research incorporates elements of Algorithm, Valid time and Spatial–temporal reasoning.
His scientific interests lie mostly in Artificial intelligence, Natural language processing, Natural language, Human–computer interaction and Parsing. In general Artificial intelligence study, his work on Natural language understanding often relates to the realm of Structure, thereby connecting several areas of interest. He combines subjects such as Word, Semantics and Utterance with his study of Natural language processing.
His Natural language research is multidisciplinary, incorporating perspectives in Question answering, Dialog box and Knowledge representation and reasoning. His research ties Syntax and Parsing together.
His main research concerns Artificial intelligence, Natural language processing, Natural language, Parsing and Information retrieval. His Artificial intelligence study which covers Event that intersects with TimeML and SemEval. In his study, Annotation and Set is inextricably linked to Scheme, which falls within the broad field of Natural language processing.
His research integrates issues of Semantics, Situated, Representation and Reading in his study of Natural language. The Parsing study combines topics in areas such as Ontology, Ontology and Logical form. In his work, Representation is strongly intertwined with Quality, which is a subfield of Linguistics.
His primary areas of investigation include Artificial intelligence, Natural language processing, Human–computer interaction, Parsing and Information retrieval. His work on Semantics, Problem domain and Range is typically connected to Structure and Military strategy as part of general Artificial intelligence study, connecting several disciplines of science. His Semantics research includes themes of Test, Commonsense knowledge and Natural language.
He has researched Natural language processing in several fields, including Similarity, Vector space representation and Feature learning. His Human–computer interaction study combines topics from a wide range of disciplines, such as Plug-in and Mathematical optimization. His study in Information retrieval is interdisciplinary in nature, drawing from both Annotation, Event, Scheme and Temporal annotation.
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Maintaining knowledge about temporal intervals
James F. Allen.
Communications of The ACM (1983)
Natural Language Understanding
Towards a general theory of action and time
James F. Allen.
Artificial Intelligence (1984)
Analyzing intention in utterances
J Allen;C R Perrault.
Artificial Intelligence (1986)
Actions and Events in Interval Temporal Logic
James F. Allen;George Ferguson.
Journal of Logic and Computation (1994)
Generalized plan recognition
Henry A. Kautz;James F. Allen.
national conference on artificial intelligence (1986)
An interval-based representation of temporal knowledge
James F. Allen.
international joint conference on artificial intelligence (1981)
Toward Conversational Human-Computer Interaction
James F. Allen;Donna K. Byron;Myroslava O. Dzikovska;George Ferguson.
Ai Magazine (2001)
A plan recognition model for subdialogues in conversations
Diane J. Litman;James F. Allen.
Cognitive Science (1987)
Readings in Planning
Austin Tate;James Hendler;James Allen.
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