Dennis Fucci

PhD student

    Short bio

    Dennis Fucci is a PhD student in Information Engineering and Computer Science at the University of Trento, affiliated with Fondazione Bruno Kessler.

    He holds a master's degree in Humanities from the University of Bologna, specializing in Computational Linguistics.

    Research topics

    Speech Translation, Automatic Speech Recognition, Machine Translation, Gender Bias, eXplainable AI

    Publications

    1. Piergentili, Andrea; Fucci, Dennis; Savoldi, Beatrice; Bentivogli, Luisa; Negri, Matteo,
      Proceedings of the First Workshop on Gender-Inclusive Translation Technologies (GITT 2023),
      European Association for Machine Translation,
      2023
      , pp. 71-
      83
    2. Gaido, Marco; Fucci, Dennis; Negri, Matteo; Bentivogli, Luisa,
      in «»,
      Proceedings of the 9th Italian Conference on Computational Linguistics,
      ,
      vol. ,
      n. ,
      2023
      , pp. -
    3. Fucci, Dennis; Gaido, Marco; Papi, Sara; Cettolo, Mauro; Negri, Matteo; Bentivogli, Luisa,
      in «»,
      Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing,
      ,
      vol. ,
      n. ,
      2023
      , pp. 11505-
      11517
    4. Fucci, Dennis; Gaido, Marco; Negri, Matteo; Cettolo, Mauro; Bentivogli, Luisa,
      in «»,
      Proceedings of 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU),
      ,
      vol. ,
      n. ,
      2023
      , pp. -
      8
    5. Piergentili, Andrea; Savoldi, Beatrice; Fucci, Dennis; Negri, Matteo; Bentivogli, Luisa,
      Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing,
      Association for Computational Linguistics,
      2023
      , pp. 14124-
      14140
    6. Gaido, Marco; Papi, Sara; Fucci, Dennis; Fiameni, Giuseppe; Negri, Matteo; Turchi, Marco,
      in «»,
      Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022),
      Association for Computational Linguistics,
      vol. ,
      n. ,
      2022
      , pp. 177-
      189

    📢 Proud to announce that our @mgaido91 has won the 2023 @EAMTee best Phd thesis award with his work on “Direct speech translation toward high-quality, inclusive, and augmented systems". 💯👏

    👇Thesis: https://iris.unitn.it/handle/11572/374507

    👇About the award: https://eamt.org/2024/04/17/2023-anthony-c-clarke-award-for-the-eamt-best-thesis-awardee-announcement/

    #NLProc

    🚨 The industry track call for papers for #EMNLP2024 is now out!

    Deadline: July 18th, 2024

    We welcome submissions from industry groups on a wide variety of topics, please see the CfP for details!

    We just released our first set of #LLMs of the #Minerva family, #pretrained from scratch on #English and #Italian, 500 billion words, 350M to 3B parameters. #FAIR @fondazione_fair and @Cineca1969! Documentation and transparency first! https://www.ansa.it/amp/osservatorio_intelligenza_artificiale/notizie/approfondimenti/2024/04/23/ecco-minerva-la-prima-famiglia-di-llm-addestrati-da-zero-in-italiano_ac6cc4b0-6c65-4cef-a7e3-dfca7bc3c2c4.html

    Our pick of the week by @lina_conti: "An image speaks a thousand words, but can everyone listen? On translating images for cultural relevance" by @simi_97k, @Sathya8NR, @yueqi_song, and @gneubig.

    #translation #image #culture #LLM

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