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Prof. Emmanuele Chersoni
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Prof. Emmanuele CHERSONI

Assistant Professor

Biography

Prof. Emmanuele Chersoni obtained a joint PhD degree in Language Sciences from Aix-Marseille University (France) and the University of Pisa (Italy). His research is at the intersection between theoretical linguistics, cognitive science and machine learning. His works have been mainly focusing on the meaning aspects of natural language sentences that make them more or less difficult for human language understanding, especially in relation to event typicality/plausibility. He is also interested in the applications of natural language processing to specialized domains, such as the biomedical and the financial one.

Education and Academic Qualifications

  • 2014 - 2018
    Joint PhD in Language Sciences, Aix-Marseille University (France) and University of Pisa (Italy)

Academic and Professional Experience

  • 2018 - 2021
    Postdoctoral Fellow in Computational Linguistics, Hong Kong Polytechnic University

Teaching Areas

  • Programming
  • Corpus Linguistics
  • Computational Linguistics

Research Interests

  • Computational Linguistics
  • Large Language Models
  • Sentence Processing
  • Semantics

Selected Publications

  • Kauf, C., Chersoni, E., Lenci, A., Fedorenko, E., Ivanova, A. A. (2024). Log Probabilities Are a Reliable Estimate of Semantic Plausibility in Base and Instruction-Tuned Language Models. Proceedings of the 7th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP, 263-277. https://doi.org/10.18653/v1/2024.blackboxnlp-1.18
    Best Paper Award
  • Rambelli, G., Chersoni, E., Collacciani, C., Bolognesi, M. (2024). Can Large Language Models Interpret Noun-Noun Compounds? A Linguistically-Motivated Study on Lexicalized and Novel Compounds. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 11823-11835. https://doi.org/10.18653/v1/2024.acl-long.637
  • Chersoni, E., Santus, E., Lenci, A., Huang, C.-R. (2021). Decoding Word Embeddings with Brain-Based Semantic Features. Computational Linguistics, 47(3), 663–698. https://doi.org/10.1162/COLI_a_00412
  • Chersoni, E., Santus, E. Lenci, A., Blache, P., Huang, C.-R. (2021) Not All Arguments Are Processed Equally: A Distributional Model of Argument Complexity. Language Resources and Evaluation, 55(4), 873-900. https://doi.org/10.1007/s10579-021-09533-9
  • Chersoni, E., Santus, E. Pannitto, L. Lenci, A. Blache, P., Huang, C.-R. (2019) A Structured Distributional Model of Sentence Meaning and Processing. Natural Language Engineering, 25(4), 483-502. https://doi.org/10.1017/S1351324919000214

Selected Funded Research Projects

  • Jan 2022 - Dec 2024
    General Research Fund awarded for the project “Modeling Generalized Event Knowledge for Noun Compound Interpretation and Prediction with Transformers” (PI)
  • Jan 2025 - Dec 2027
    General Research Fund awarded for the project “Semantic Fit in Chinese Language Processing and Large Language Models” (PI)

Esteem Measures

  • Association for Computational Linguistics
  • 2021
    Outstanding Young Scholar 2021, Faculty of Humanities, Hong Kong Polytechnic University

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