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Marie-Catherine de Marneffe

Marie-Catherine de Marneffe

D-Index & Metrics

Computer Science

D-Index
33
Citations
11522
World Ranking
12367
National Ranking
5007

Overview

Marie-Catherine de Marneffe is affiliated with The Ohio State University in the United States. Their research primarily focuses on areas within computer science, particularly emphasizing artificial intelligence and natural language processing techniques. The scholar's work also intersects with language and linguistics as well as social sciences.

The scientist has contributed to multiple topics in the field of computational linguistics, including:

  • Natural Language Processing Techniques
  • Topic Modeling
  • Syntax, Semantics, Linguistic Variation
  • Sentiment Analysis and Opinion Mining
  • Language, Discourse, Communication Strategies
  • Computational and Text Analysis Methods
  • Language and Cultural Evolution

Frequent co-authors collaborating with the scientist include:

  • Nanjiang Jiang
  • Christopher D. Manning
  • Filip Ginter
  • Jan Hajič
  • Daniel Zeman

The scientist's publications have appeared in several notable venues, reflecting a range of contributions to computational linguistics and related domains. Key frequent publication venues consist of:

  • arXiv (Cornell University)
  • Transactions of the Association for Computational Linguistics
  • Computational Linguistics
  • Elsevier eBooks
  • Movebank

Their recent papers include:

  • Universal Dependencies, 2021, Computational Linguistics
  • Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection, 2020, arXiv (Cornell University)
  • Universal Dependencies, 2025, Elsevier eBooks
  • Universal Dependencies, 2025, HAL (Le Centre pour la Communication Scientifique Directe)
  • Investigating Reasons for Disagreement in Natural Language Inference, 2022, Transactions of the Association for Computational Linguistics

The main fields of study revolve mainly around computer science, with a strong emphasis on artificial intelligence comprising most of the scientist's publications. The research outputs address challenges in natural language processing and linguistic structures, reflecting a comprehensive approach to studying language from both computational and cognitive perspectives.

Best Publications

  • Generating Typed Dependency Parses from Phrase Structure Parses

    Marie-Catherine de Marneffe;Bill MacCartney;Christopher D. Manning

  • Universal Dependencies v1: A Multilingual Treebank Collection

    Joakim Nivre;Marie-Catherine de Marneffe;Filip Ginter;Yoav Goldberg

  • The Stanford Typed Dependencies Representation

    Marie-Catherine de Marneffe;Christopher D. Manning

  • Universal Stanford dependencies: A cross-linguistic typology

    Marie-Catherine de Marneffe;Timothy Dozat;Natalia Silveira;Katri Haverinen

  • Universal Dependencies 2.2

    Joakim Nivre;Mitchell Abrams;Željko Agić;Lars Ahrenberg

  • CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies

    Daniel Zeman;Martin Popel;Milan Straka;Jan Hajic

  • Shared Tasks of the 2015 Workshop on Noisy User-generated Text: Twitter Lexical Normalization and Named Entity Recognition

    Timothy Baldwin;Marie Catherine de Marneffe;Bo Han;Young-Bum Kim

  • Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection

    Joakim Nivre;Marie-Catherine de Marneffe;Filip Ginter;Jan Hajic

  • Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection

    Joakim Nivre;Marie-Catherine de Marneffe;Filip Ginter;Jan Hajič

  • Finding Contradictions in Text

    Marie-Catherine de Marneffe;Anna N. Rafferty;Christopher D. Manning

  • Universal Dependencies 1.0

    Joakim Nivre;Cristina Bosco;Jinho Choi;Marie-Catherine de Marneffe

  • A Gold Standard Dependency Corpus for English

    Natalia Silveira;Timothy Dozat;Marie-Catherine de Marneffe;Samuel Bowman

  • Universal Dependencies 2.1

    Joakim Nivre;Željko Agić;Lars Ahrenberg;Lene Antonsen

  • Shared Tasks of the 2015 Workshop on Noisy User-generated Text: Twitter Lexical Normalization and Named Entity Recognition

    Timothy Baldwin;Marie-Catherine de Marneffe;Bo Han;Young-Bum Kim

  • Universal Dependencies 2.0

    Joakim Nivre;Željko Agić;Lars Ahrenberg;Maria Jesus Aranzabe

  • Universal Dependencies 2.3

    Joakim Nivre;Mitchell Abrams;Željko Agić;Lars Ahrenberg

  • Universal Dependencies 1.2

    Joakim Nivre;Željko Agić;Maria Jesus Aranzabe;Masayuki Asahara

  • Parsing to Stanford Dependencies: Trade-offs between Speed and Accuracy.

    Daniel M. Cer;Marie-Catherine de Marneffe;Daniel Jurafsky;Christopher D. Manning

  • The CommitmentBank: Investigating projection in naturally occurring discourse

    Marie-Catherine de Marneffe;Mandy Simons;Judith Tonhauser

  • The Life and Death of Discourse Entities: Identifying Singleton Mentions

    Marta Recasens;Marie-Catherine de Marneffe;Christopher Potts

  • Did it happen? the pragmatic complexity of veridicality assessment

    Marie-Catherine de Marneffe;Christopher D. Manning;Christopher Potts

  • Learning to recognize features of valid textual entailments

    Bill MacCartney;Trond Grenager;Marie-Catherine de Marneffe;Daniel Cer

  • Multiword Expression Identification with Tree Substitution Grammars: A Parsing tour de force with French

    Spence Green;Marie-Catherine de Marneffe;John Bauer;Christopher D. Manning

  • Learning Alignments and Leveraging Natural Logic

    Nathanael Chambers;Daniel Cer;Trond Grenager;David Hall

  • Results of the WNUT16 Named Entity Recognition Shared Task

    Benjamin Strauss;Bethany Toma;Alan Ritter;Marie-Catherine de Marneffe

  • Universal Dependencies 2.7

    Daniel Zeman;Joakim Nivre;Mitchell Abrams;Elia Ackermann

Frequent Co-Authors

Christopher D. Manning
Christopher D. Manning Stanford University
Filip Ginter
Filip Ginter University of Turku
Joakim Nivre
Joakim Nivre Uppsala University
Jan Hajič
Jan Hajič Charles University
Sampo Pyysalo
Sampo Pyysalo University of Turku
Slav Petrov
Slav Petrov Google (United States)
Samuel R. Bowman
Samuel R. Bowman New York University
Barbara Plank
Barbara Plank Ludwig-Maximilians-Universität München

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