H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 59 Citations 37,621 211 World Ranking 1629 National Ranking 910

Research.com Recognitions

Awards & Achievements

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.

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Programming language
  • Linguistics

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 most cited work include:

  • Maintaining knowledge about temporal intervals (6776 citations)
  • Towards a general theory of action and time (2381 citations)
  • Natural Language Understanding (1321 citations)

What are the main themes of his work throughout his whole career to date?

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.

He most often published in these fields:

  • Artificial intelligence (53.29%)
  • Natural language processing (39.18%)
  • Natural language (20.38%)

What were the highlights of his more recent work (between 2011-2020)?

  • Artificial intelligence (53.29%)
  • Natural language processing (39.18%)
  • Natural language (20.38%)

In recent papers he was focusing on the following fields of study:

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.

Between 2011 and 2020, his most popular works were:

  • A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories (277 citations)
  • SemEval-2013 Task 1: TempEval-3: Evaluating Time Expressions, Events, and Temporal Relations (270 citations)
  • Chorus: a crowd-powered conversational assistant (122 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Programming language
  • 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.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Maintaining knowledge about temporal intervals

James F. Allen.
Communications of The ACM (1983)

11710 Citations

Natural Language Understanding

James Allen.
(1987)

4069 Citations

Towards a general theory of action and time

James F. Allen.
Artificial Intelligence (1984)

3893 Citations

Analyzing intention in utterances

J Allen;C R Perrault.
Artificial Intelligence (1986)

1263 Citations

Actions and Events in Interval Temporal Logic

James F. Allen;George Ferguson.
Journal of Logic and Computation (1994)

1055 Citations

Generalized plan recognition

Henry A. Kautz;James F. Allen.
national conference on artificial intelligence (1986)

707 Citations

An interval-based representation of temporal knowledge

James F. Allen.
international joint conference on artificial intelligence (1981)

663 Citations

Toward Conversational Human-Computer Interaction

James F. Allen;Donna K. Byron;Myroslava O. Dzikovska;George Ferguson.
Ai Magazine (2001)

637 Citations

A plan recognition model for subdialogues in conversations

Diane J. Litman;James F. Allen.
Cognitive Science (1987)

632 Citations

Readings in Planning

Austin Tate;James Hendler;James Allen.
(1990)

599 Citations

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