D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 56 Citations 14,859 138 World Ranking 2032 National Ranking 1111

Research.com Recognitions

Awards & Achievements

2014 - ACM Fellow For contributions to natural-language processing, and to open-access systems and policy.

2004 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to the foundations of computational linguistics, to graphical and spokenlanguage interfaces, and to open scientific publishing.

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Programming language
  • Linguistics

Stuart M. Shieber mainly investigates Artificial intelligence, Natural language processing, Rule-based machine translation, Theoretical computer science and Algorithm. His Artificial intelligence research is multidisciplinary, incorporating elements of Machine learning and Control. His biological study spans a wide range of topics, including Programming language, Linguistics, Quantifier and Phrase structure rules.

His work deals with themes such as Treebank, Parsing, Semantic interpretation, Logical form and Syntax, which intersect with Rule-based machine translation. His Theoretical computer science research incorporates themes from Graph drawing, Computational resource and Technical drawing tools. His Algorithm research includes elements of Sentence, Feature, String and Heuristic.

His most cited work include:

  • An introduction to unification-based approaches to grammar (743 citations)
  • Design galleries: a general approach to setting parameters for computer graphics and animation (519 citations)
  • Evidence Against the Context-Freeness of Natural Language (492 citations)

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

His primary scientific interests are in Artificial intelligence, Natural language processing, Rule-based machine translation, Parsing and Programming language. His research in Artificial intelligence is mostly concerned with Natural language. His research on Natural language processing often connects related topics like Word.

Stuart M. Shieber usually deals with Rule-based machine translation and limits it to topics linked to Theoretical computer science and Algorithm. His research in Parsing intersects with topics in Rewriting, Probabilistic logic and Grammar. The study incorporates disciplines such as Generative grammar and Formalism in addition to Programming language.

He most often published in these fields:

  • Artificial intelligence (41.78%)
  • Natural language processing (28.89%)
  • Rule-based machine translation (14.67%)

What were the highlights of his more recent work (between 2015-2020)?

  • Artificial intelligence (41.78%)
  • Natural language processing (28.89%)
  • Machine learning (8.44%)

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

His scientific interests lie mostly in Artificial intelligence, Natural language processing, Machine learning, Sentence and Word. He combines subjects such as Tree and Simple with his study of Artificial intelligence. His research investigates the link between Natural language processing and topics such as Control that cross with problems in Uninterpretable.

The concepts of his Sentence study are interwoven with issues in Empirical research, Grammar, Block and Reading. The various areas that Stuart M. Shieber examines in his Word study include Brainstorming, Information sharing and Speech processing. His Training set study combines topics from a wide range of disciplines, such as Variety, Linguistics, Readability and Deep learning.

Between 2015 and 2020, his most popular works were:

  • Challenges in Data-to-Document Generation (243 citations)
  • Learning Neural Templates for Text Generation (118 citations)
  • Learning Global Features for Coreference Resolution (105 citations)

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

  • Artificial intelligence
  • Programming language
  • Linguistics

His primary areas of study are Artificial intelligence, Machine learning, Natural language processing, Natural language inference and Sentence. His studies in Artificial intelligence integrate themes in fields like Spurious relationship and Control. Stuart M. Shieber performs multidisciplinary study in Natural language processing and Sequence in his work.

Stuart M. Shieber has included themes like Contrast, Baseline, Premise and Probabilistic method in his Natural language inference study. His Sentence research is multidisciplinary, incorporating perspectives in Identification, Scientific writing, Word, Binary number and Character. His Coreference research is multidisciplinary, relying on both Recurrent neural network and State.

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

An introduction to unification-based approaches to grammar

Stuart M. Shieber.
(1986)

1927 Citations

Evidence Against the Context-Freeness of Natural Language

Stuart M. Shieber.
Linguistics and Philosophy (1985)

974 Citations

Ellipsis and higher-order unification

Mary Dalrymple;Stuart M. Shieber;Fernando C. N. Pereira.
Linguistics and Philosophy (1991)

747 Citations

Design galleries: a general approach to setting parameters for computer graphics and animation

J. Marks;B. Andalman;P. A. Beardsley;W. Freeman.
international conference on computer graphics and interactive techniques (1997)

718 Citations

Prolog and Natural-Language Analysis

Fernando C. N. Pereira;Stuart M. Shieber.
(1987)

641 Citations

An empirical study of algorithms for point-feature label placement

Jon Christensen;Joe Marks;Stuart Shieber.
ACM Transactions on Graphics (1995)

492 Citations

Synchronous tree-adjoining grammars

Stuart M. Shieber;Yves Schabes.
international conference on computational linguistics (1990)

442 Citations

Principles and implementation of deductive parsing

Stuart M. Shieber;Yves Schabes;Fernando C.N. Pereira.
Journal of Logic Programming (1995)

436 Citations

Command parsing and rewrite system

Stuart M. Shieber;John Armstrong;Rafael Jose Baptista;Bryan A. Bentz.
ASAJ (1998)

288 Citations

Semantic-head-driven generation

Stuart M. Shieber;Gertjan van Noord;Fernando C. N. Pereira;Robert C. Moore.
Computational Linguistics (1990)

281 Citations

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