World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
10431
World Ranking
4859
National Ranking
27

Overview

Ted Briscoe is affiliated with the Mohamed bin Zayed University of Artificial Intelligence in the United Arab Emirates. Their research primarily spans the domain of Computer Science, with a focus on Artificial Intelligence and Information Systems. A notable portion of their work addresses topics in Natural Language Processing Techniques and Topic Modeling, alongside contributions related to Text Readability and Simplification, Algorithms and Data Compression, Data Mining Algorithms and Applications, Language and Cultural Evolution, and Expert Finding and Q&A Systems.

The scientist's publication record includes papers in journals and technical reports, with recent works that contribute to the areas of grammatical error correction and natural language parsing systems. Key publications include:

  • "An introduction to tag sequence grammars and the RASP system parser," 2021, CL Technical Reports
  • "Grammatical Error Correction: A Survey of the State of the Art," 2023, Computational Linguistics
  • "Grammatical Error Correction: A Survey of the State of the Art," 2022, arXiv (Cornell University)
  • "The Alvey natural language tools grammar (2nd Release)," 2021, CL Technical Reports
  • "RIRAG: Regulatory Information Retrieval and Answer Generation," 2024, TUbilio (Technical University of Darmstadt)

Ted Briscoe frequently collaborates with several researchers. Their frequent co-authors include:

  • Christopher Bryant
  • Zheng Yuan
  • Muhammad Reza Qorib
  • Hannan Cao
  • Hwee Tou Ng

The scientist's publications are predominantly featured in venues such as:

  • arXiv (Cornell University)
  • CL Technical Reports
  • Computational Linguistics
  • TUbilio (Technical University of Darmstadt)

The body of work by Ted Briscoe addresses multiple aspects of computational linguistics and natural language processing. Their research includes developing parsing systems and surveys on grammatical error correction methodologies, indicating engagement with both foundational tools and applied aspects of textual data analysis. The focus on topic modeling and text simplification further illustrates an interest in how language can be computationally understood and made accessible.

No records of awards or book publications are noted in the available data. There is no indication of the scientist being deceased.

Best Publications

  • Semi-productive Polysemy and Sense Extension

    Ann A. Copestake;Ted Briscoe

  • The CoNLL-2014 Shared Task on Grammatical Error Correction

    Hwee Tou Ng;Siew Mei Wu;Ted Briscoe;Christian Hadiwinoto

  • A New Dataset and Method for Automatically Grading ESOL Texts

    Helen Yannakoudakis;Ted Briscoe;Ben Medlock

  • Generalized probabilistic LR parsing of natural language (Corpora) with unification-based grammars

    Ted Briscoe;John Carroll

  • The Second Release of the RASP System

    Ted Briscoe;John Carroll;Rebecca Watson

  • Automatic Extraction of Subcategorization from Corpora

    Ted Briscoe;John Carroll

  • Robust accurate statistical annotation of general text

    Ted Briscoe;John A. Carroll

  • Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction

    Christopher Bryant;Mariano Felice;Ted Briscoe

  • Parser evaluation: a survey and a new proposal

    John Caroll;Ted Briscoe;Antonio Sanfilippo

  • Linguistic Evolution through Language Acquisition: Formal and Computational Models.

    Ted Briscoe

  • The BEA-2019 Shared Task on Grammatical Error Correction.

    Christopher Bryant;Mariano Felice;Øistein E. Andersen;Ted Briscoe

  • Weakly Supervised Learning for Hedge Classification in Scientific Literature

    Ben Medlock;Ted Briscoe

  • Grammatical error correction using neural machine translation

    Zheng Yuan;Ted Briscoe

  • Grammatical Acquisition: Inductive Bias and Coevolution of Language and the Language Acquisition Device.

    Ted Briscoe

  • Inheritance, Defaults and the Lexicon

    Ted Briscoe;Ann Copestake;Valeria de Paiva

  • Lexical Operations in a Unification-Based Framework

    Ann A. Copestake;Ted Briscoe

  • Computational lexicography for natural language processing

    Bran Boguraev;Ted Briscoe

  • Models of continuous speech recognition and the contents of the vocabulary

    James M. McQueen;Anne Cutler;Ted Briscoe;Dennis Norris

  • Large lexicons for natural language processing: utilising the grammar coding system of LDOCE

    Bran Boguraev;Ted Briscoe

  • Enjoy the paper: lexical semantics via lexicology

    Ted Briscoe;Ann Copestake;Bran Boguraev

  • Automated assessment of examination scripts

    Ted Briscoe;Ben Medlock;Oeistein Andersen

Frequent Co-Authors

John M. Carroll
John M. Carroll University of Sussex
Ann Copestake
Ann Copestake University of Cambridge
Anna Korhonen
Anna Korhonen University of Cambridge
Andreas Vlachos
Andreas Vlachos University of Cambridge
Alex Lascarides
Alex Lascarides University of Edinburgh
Stefan Riezler
Stefan Riezler Heidelberg University
Hwee Tou Ng
Hwee Tou Ng National University of Singapore
Dennis Norris
Dennis Norris University of Cambridge
James M. McQueen
James M. McQueen Radboud University
Anne Cutler
Anne Cutler Western Sydney University

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