World's Best Scientists 2026 revealed!
Luisa Bentivogli

Luisa Bentivogli

D-Index & Metrics

Computer Science

D-Index
31
Citations
5710
World Ranking
13454
National Ranking
483

Overview

Luisa Bentivogli is affiliated with the Fondazione Bruno Kessler in Italy, where their research focuses on computer science with an emphasis on artificial intelligence and language technologies. Their work spans several related subfields, including language and linguistics, gender studies, and signal processing.

Their recent scholarly output includes papers published in various reputable venues. Notable publications are:

  • MuST-C: A multilingual corpus for end-to-end speech translation, 2020, Computer Speech & Language
  • Gender Neutralization for an Inclusive Machine Translation: from Theoretical Foundations to Open Challenges, 2023, arXiv (Cornell University)
  • How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation, 2021, Institutional Research Information System (Università degli Studi di Trento)
  • Good, but not always Fair: An Evaluation of Gender Bias for three Commercial Machine Translation Systems, 2024, HERMES - Journal of Language and Communication in Business
  • Translation in the Hands of Many: Centering Lay Users in Machine Translation Interactions, 2025, arXiv (Cornell University)

Bentivogli collaborates frequently with a group of scholars, indicating a sustained partnership in research activities. Frequent co-authors include Matteo Negri, Marco Gaido, Beatrice Savoldi, Sara Papi, and Marco Turchi.

The venues where Bentivogli most commonly publishes reflect an interest in open-access and specialized outlets in language technologies and computational linguistics. The most frequent publication venues are:

  • arXiv (Cornell University)
  • Computer Speech & Language
  • HERMES - Journal of Language and Communication in Business
  • Patterns
  • Institutional Research Information System (Università degli Studi di Trento)

Their main fields of study concentrate heavily on computer science with key subfields and areas of specialization including:

  • Artificial Intelligence
  • Language and Linguistics
  • Gender Studies
  • Signal Processing
  • General Health Professions

Key topics in Bentivogli's body of work highlight expertise in natural language processing and translation, particularly in how language technologies interact with social dimensions such as gender. Their main topics of study are:

  • Natural Language Processing Techniques
  • Topic Modeling
  • Text Readability and Simplification
  • Speech Recognition and Synthesis
  • Speech and dialogue systems
  • Translation Studies and Practices
  • Gender Studies in Language

Best Publications

  • A SICK cure for the evaluation of compositional distributional semantic models

    Marco Marelli;Stefano Menini;Marco Baroni;Luisa Bentivogli

  • The Seventh PASCAL Recognizing Textual Entailment Challenge.

    Luisa Bentivogli;Peter Clark;Ido Dagan;Danilo Giampiccolo

  • Neural versus Phrase-Based Machine Translation Quality: a Case Study

    Luisa Bentivogli;Arianna Bisazza;Mauro Cettolo;Marcello Federico

  • SemEval-2014 Task 1: Evaluation of Compositional Distributional Semantic Models on Full Sentences through Semantic Relatedness and Textual Entailment

    Marco Marelli;Luisa Bentivogli;Marco Baroni;Raffaella Bernardi

  • Revising the wordnet domains hierarchy: semantics, coverage and balancing

    Luisa Bentivogli;Pamela Forner;Bernardo Magnini;Emanuele Pianta

  • Report on the 11th IWSLT Evaluation Campaign, IWSLT 2014

    Mauro Cettolo;J. Niehues;S. Stüker;Luisa Bentivogli

  • MuST-C: a Multilingual Speech Translation Corpus

    Mattia Antonino Di Gangi;Roldano Cattoni;Luisa Bentivogli;Matteo Negri

  • The IWSLT 2016 Evaluation Campaign

    Mauro Cettolo;Niehues Jan;Stüker Sebastian;Luisa Bentivogli

  • SemEval-2013 Task 7: The Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge

    Myroslava Dzikovska;Rodney Nielsen;Chris Brew;Claudia Leacock

  • The IWSLT 2015 Evaluation Campaign

    Mauro Cettolo;Jan Niehues;Sebastian Stüker;Luisa Bentivogli

  • Report on the 11th IWSLT evaluation campaign.

    Mauro Cettolo;Jan Niehues;Sebastian Stüker;Luisa Bentivogli

  • Findings of the IWSLT 2022 Evaluation Campaign

    Unknown

  • Overview of the IWSLT 2011 evaluation campaign.

    Marcello Federico;Luisa Bentivogli;Michael Paul;Sebastian Stüker

  • MuST-C: A multilingual corpus for end-to-end speech translation

    Roldano Cattoni;Mattia Antonino Di Gangi;Mattia Antonino Di Gangi;Luisa Bentivogli;Matteo Negri

  • Overview of the IWSLT 2017 Evaluation Campaign

    Mauro Cettolo;Marcello Federico;Luisa Bentivogli;Niehues Jan

  • Gender Bias in Machine Translation

    Beatrice Savoldi;Marco Gaido;Luisa Bentivogli;Matteo Negri

  • Exploiting parallel texts in the creation of multilingual semantically annotated resources: the MultiSemCor Corpus

    L. Bentivogli;E. Pianta

  • Report on the 10th IWSLT evaluation campaign.

    Mauro Cettolo;Jan Niehues;Sebastian Stüker;Luisa Bentivogli

  • Divide and Conquer: Crowdsourcing the Creation of Cross-Lingual Textual Entailment Corpora

    Matteo Negri;Luisa Bentivogli;Yashar Mehdad;Danilo Giampiccolo

  • Neural versus Phrase-Based Machine Translation Quality: a Case Study

    Luisa Bentivogli;Arianna Bisazza;Mauro Cettolo;Marcello Federico

  • Looking for lexical gaps

    Luisa Bentivogli;Emanuelle Pianta

  • Semeval-2012 Task 8: Cross-lingual Textual Entailment for Content Synchronization

    Matteo Negri;Alessandro Marchetti;Yashar Mehdad;Luisa Bentivogli

  • FINDINGS OF THE IWSLT 2023 EVALUATION CAMPAIGN

    Unknown

Frequent Co-Authors

Marco Turchi
Marco Turchi Fondazione Bruno Kessler
Marcello Federico
Marcello Federico Amazon (United States)
Mauro Cettolo
Mauro Cettolo Fondazione Bruno Kessler
Matteo Negri
Matteo Negri University of Pavia
Ido Dagan
Ido Dagan Bar-Ilan University
Jan Niehues
Jan Niehues Karlsruhe Institute of Technology
Marco Baroni
Marco Baroni Institució Catalana de Recerca i Estudis Avançats
Bernardo Magnini
Bernardo Magnini Fondazione Bruno Kessler
Michael J. Paul
Michael J. Paul University of Colorado Boulder
Peter Clark
Peter Clark Allen Institute for Artificial Intelligence

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