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 40 Citations 9,914 207 World Ranking 4562 National Ranking 2274

Research.com Recognitions

Awards & Achievements

2020 - ACM Fellow For human-centered and linguistically inspired approaches to natural language processing

2013 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to natural language understanding and representation, and development of the widely recognized methods for interlingual machine translation.

1994 - Fellow of Alfred P. Sloan Foundation

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Linguistics
  • Natural language processing

His scientific interests lie mostly in Artificial intelligence, Natural language processing, Machine translation, Information retrieval and Rule-based machine translation. His study in Artificial intelligence is interdisciplinary in nature, drawing from both Contrast and Focus. His work on Phrase, Sentence, Computational linguistics and Natural language is typically connected to Structure as part of general Natural language processing study, connecting several disciplines of science.

His Machine translation research is multidisciplinary, incorporating perspectives in NIST, Speech recognition and Translation. His Transfer-based machine translation and Example-based machine translation study in the realm of Rule-based machine translation interacts with subjects such as Weighting. The Evaluation of machine translation study combines topics in areas such as Annotation, BLEU, Postediting, Interactive machine translation and Hybrid machine translation.

His most cited work include:

  • A Study of Translation Edit Rate with Targeted Human Annotation (1948 citations)
  • Machine translation divergences: a formal description and proposed solution (222 citations)
  • Hedge Trimmer: a parse-and-trim approach to headline generation (210 citations)

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

Bonnie J. Dorr mostly deals with Artificial intelligence, Natural language processing, Machine translation, Information retrieval and Linguistics. His study in Sentence, Semantics, Interlingua, Parsing and Syntax is carried out as part of his Artificial intelligence studies. His Sentence research incorporates themes from Speech recognition and Selection.

In his work, WordNet is strongly intertwined with Verb, which is a subfield of Natural language processing. His Machine translation research includes elements of Translation and Phrase. His studies deal with areas such as Interlingual machine translation and Dynamic and formal equivalence as well as Transfer-based machine translation.

He most often published in these fields:

  • Artificial intelligence (71.54%)
  • Natural language processing (66.29%)
  • Machine translation (38.95%)

What were the highlights of his more recent work (between 2014-2021)?

  • Artificial intelligence (71.54%)
  • Natural language processing (66.29%)
  • Machine translation (38.95%)

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

Artificial intelligence, Natural language processing, Machine translation, NIST and Data science are his primary areas of study. The concepts of his Artificial intelligence study are interwoven with issues in Cognitive science and Interface. He is interested in Natural language, which is a field of Natural language processing.

His research integrates issues of Training set, Phrase and Literal in his study of Machine translation. Bonnie J. Dorr interconnects Interoperability and Systems engineering in the investigation of issues within NIST. His work in the fields of Data science, such as Astroinformatics, intersects with other areas such as Point.

Between 2014 and 2021, his most popular works were:

  • A data science challenge for converting airborne remote sensing data into ecological information. (11 citations)
  • The NIST data science initiative (9 citations)
  • Cyberattack Prediction Through Public Text Analysis and Mini-Theories (5 citations)

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

  • Artificial intelligence
  • Linguistics
  • Natural language processing

Bonnie J. Dorr spends much of his time researching Artificial intelligence, Data science, Machine translation, Natural language processing and Big data. Bonnie J. Dorr studies Artificial intelligence, focusing on Deep learning in particular. His Data science research is multidisciplinary, incorporating elements of NIST, Segmentation, Remote sensing and Interoperability.

His Machine translation research integrates issues from Spatial language, Component and Literal. The Natural language research Bonnie J. Dorr does as part of his general Natural language processing study is frequently linked to other disciplines of science, such as Statistical relational learning, therefore creating a link between diverse domains of science. His study focuses on the intersection of Big data and fields such as Leverage with connections in the field of Management science and Information access.

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

A Study of Translation Edit Rate with Targeted Human Annotation

Matthew Snover;Bonnie Dorr;Richard Schwartz;Linnea Micciulla.
conference of the association for machine translation in the americas (2006)

2444 Citations

Machine translation : a view from the lexicon

Bonnie Jean Dorr.
(1993)

416 Citations

Machine translation divergences: a formal description and proposed solution

Bonnie J. Dorr.
Computational Linguistics (1994)

335 Citations

Hedge Trimmer: a parse-and-trim approach to headline generation

Bonnie Dorr;David Zajic;Richard Schwartz.
north american chapter of the association for computational linguistics (2003)

314 Citations

Generating phrasal and sentential paraphrases: A survey of data-driven methods

Nitin Madnani;Bonnie J. Dorr.
Computational Linguistics (2010)

288 Citations

Generating High-Coverage Semantic Orientation Lexicons From Overtly Marked Words and a Thesaurus

Saif Mohammad;Cody Dunne;Bonnie Dorr.
empirical methods in natural language processing (2009)

272 Citations

The ACL Anthology Reference Corpus: A Reference Dataset for Bibliographic Research in Computational Linguistics

Steven Bird;Robert Dale;Bonnie J. Dorr;Bryan R. Gibson.
language resources and evaluation (2008)

264 Citations

Fluency, Adequacy, or HTER? Exploring Different Human Judgments with a Tunable MT Metric

Matthew Snover;Nitin Madnani;Bonnie Dorr;Richard Schwartz.
workshop on statistical machine translation (2009)

243 Citations

A survey of multilingual text retrieval

Douglas W. Oard;Bonnie J. Dorr.
(1996)

229 Citations

Combining Outputs from Multiple Machine Translation Systems

Antti-Veikko Rosti;Necip Fazil Ayan;Bing Xiang;Spyros Matsoukas.
north american chapter of the association for computational linguistics (2007)

206 Citations

Best Scientists Citing Bonnie J. Dorr

Andy Way

Andy Way

Dublin City University

Publications: 89

Hermann Ney

Hermann Ney

RWTH Aachen University

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Lucia Specia

Lucia Specia

Imperial College London

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Josef van Genabith

Josef van Genabith

German Research Centre for Artificial Intelligence

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Qun Liu

Qun Liu

Huawei Technologies (China)

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Alon Lavie

Alon Lavie

Carnegie Mellon University

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Francisco Casacuberta

Francisco Casacuberta

Universitat Politècnica de València

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Martha Palmer

Martha Palmer

University of Colorado Boulder

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Philip Resnik

Philip Resnik

University of Maryland, College Park

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Chris Callison-Burch

Chris Callison-Burch

University of Pennsylvania

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Preslav Nakov

Preslav Nakov

Qatar Computing Research Institute

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Marcello Federico

Marcello Federico

Amazon (United States)

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Nizar Habash

Nizar Habash

New York University Abu Dhabi

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Lluís Màrquez

Lluís Màrquez

Amazon (United States)

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Philipp Koehn

Philipp Koehn

Johns Hopkins University

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Mirella Lapata

Mirella Lapata

University of Edinburgh

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Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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