Dr. Paul Lerner

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Dr. Paul Lerner

Biography

Paul Lerner is a postdoctoral researcher at ISIR-CNRS (Sorbonne University). He earned his Ph.D. in computer science from Paris-Saclay University at the LISN laboratory (formerly LIMSI). He also completed a dual master’s degree between the ESILV engineering school and Paris Descartes University with honors. His research focuses on the automatic processing of multimodal and multilingual natural language (as well as information retrieval), with a particular emphasis on resources and evaluation. He is also a teaching assistant at ENSAE (IP Paris), having previously taught for three years at Paris-Saclay University and Polytech Paris-Saclay.

 

Education & Degrees

YearUniversityDegree/Position
Through 2028    -Section 27 MCF Qualification (Computer Science)
2023    -Ph.D. Thesis in Computer Science: Answering Visual Questions About Named Entities
2019    Paris Descartes University, Paris, France    Master's in Science, Technology, and Health, with a specialization in Artificial Intelligence
2019ESILV Courbevoie, France    Computer Engineer
2016Czech Technical University in Prague, Czech Republic    Bachelor's Degree in Computer Science

Professional experience

YearFunction
2024–2026    Postdoc – Democratic Biases in Large Language Models - Sorbonne University, CNRS, ISIR Paris, France
2023–2024    Postdoc – Machine Translation of Scientific Neologisms - Sorbonne University, CNRS, ISIR Paris, France
2020–2023    Ph.D. Student – Answering visual questions about named entities - Université Paris-Saclay, CNRS, LISN (formerly LIMSI), Orsay, France
2019–2020    Research Engineer – Multimodal Speaker Identification, Paris-Saclay University, CNRS, LIMSI Orsay, France
2019Intern – Diagnosis of Parkinson’s disease based on a handwritten examination - Télécom ParisTech, Paris, France Internship supervised by Laurence Likforman-Sulem within the Signal, Statistics, and Machine Learning team
2018    Intern – Reinforcement Learning for Strategy - Sorbonne University, CNRS, ISIR Paris, France

Publications

Peer-reviewed international journals

  • [1] B. Biancardi, M. Mancini, P. Lerner, and C. Pelachaud, “Managing an Agent’s Self-Presentational Strategies During an Interaction,” Frontiers in Robotics and AI, vol. 6, p. 16, 2019, Impact factor: 3.4, Long, ISSN: 2296-9144. DOI: 10.3389/frobt.2019.00093. Peer-reviewed national journals
  • [2] P. Lerner, S. Messoud, O. Ferret, C. Guinaudeau, H. Le Borgne, R. Besançon, J. G. Moreno, and J. Lovón Melgarejo, “A Dataset for Answering Visual Questions About Named Entities,” Traitement Automatique des Langues, vol. 63, no. 2, pp. 15–39, 2022, Long URL: https://aclanthology.org/2022.tal-2.0.

Peer-reviewed international conferences

  • [3] P. Lerner and F. Yvon, “Towards the Machine Translation of Scientific Neologisms,” in Proceedings of the 31st International Conference on Computational Linguistics, Class B, Long, 9 pages, International Committee on Computational Linguistics, 2025. URL: https://hal.science/hal-04835653.
  • 4] P. Lerner and F. Yvon, “Unlike ‘Likely,’ ‘Unlike’ Is Unlikely: BPE-Based Segmentation Hinders Morphological Derivations in LLMs,” in Proceedings of the 31st International Conference on Computational Linguistics, Class B, Short Paper, 5 pages, International Committee on Computational Linguistics, 2025. URL: https://hal.science/hal-04831106. 4/6
  • [5] P. Lerner, O. Ferret, and C. Guinaudeau, “Cross-modal Retrieval for Knowledge-based Visual Question Answering,” in Advances in Information Retrieval (ECIR 2024), Class A, Long Paper, Cham: Springer Nature Switzerland, 2024, pp. 421–438, ISBN: 978-3-031-56027-9. DOI: 10.1007/978-3-031-56027-9_26.
  • [6] P. Lerner, O. Ferret, and C. Guinaudeau, “Multimodal Inverse Cloze Task for Knowledge-Based Visual Question Answering,” in Advances in Information Retrieval (ECIR 2023), Class A, Long Paper, Cham: Springer Nature Switzerland, 2023, pp. 569–587, ISBN: 978-3-031-28244-7. DOI: 10.1007/978-3-031-28244-7_36.
  • [7] P. Lerner, J. Bergoënd, C. Guinaudeau, H. Bredin, B. Maurice, S. Lefevre, M. Bouteiller, A. Berhe, L. Galmant, R. Yin, and C. Barras, “Bazinga! A Dataset for Multi-Party Dialogues Structuring,” in Proceedings of the Language Resources and Evaluation Conference, Track B, Long, Poster, Marseille, France: European Language Resources Association, 2022, pp. 3434–3441. URL: https://aclanthology.org/2022.lrec-1.367.
  • [8] P. Lerner, O. Ferret, C. Guinaudeau, H. Le Borgne, R. Besançon, J. G. Moreno, and J. Lovón Melgarejo, “ViQuAE, a Dataset for Knowledge-based Visual Question Answering about Named Entities,” in Pro[1]ceedings of The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, ser. SIGIR’22, Class A*, Long, Poster, New York, NY, USA: Association for Computing Ma[1]chinery, 2022, pp. 3108–3120. doi: 10.1145/3477495.3531753. URL: https://hal.science/hal-03650618/.
  • [9] M. Mancini, B. Biancardi, S. Dermouche, P. Lerner, and C. Pelachaud, “Managing Agent’s Impression Based on User’s Engagement Detection,” in Proceedings of the 19th ACM International Conference on Intelligent Virtual Agents, IVA ’19 series, Class B, Short, Poster, 3 pages, Paris, France: Association for Computing Machinery, 2019, pp. 209–211, ISBN: 9781450366724. DOI: 10.1145/3308532.3329442. National conferences with peer review
  • [10] P. Lerner and F. Yvon, “Toward the Machine Translation of Scientific Neologisms,” French, in Proceedings of the 31st Conference on Natural Language Processing, Volume 1: Long Papers and Position Papers, M. Balaguer, N. Bendahman, L.-M. Ho-dac, J. Mauclair, J. G. Moreno, and J. Pinquier, eds., Rang C, Long, Presentation, Toulouse, France: ATALA and AFPC, July 2024, pp. 245–261. URL: https://aclanthology.org/2024.jeptalnrecital-taln.17.
  • [11] P. Lerner, O. Ferret, and C. Guinaudeau, “Cross-modal search for answering visual questions,” in 18th Conference on Information Retrieval and Applications, ed. H. Zargayouna, Rang C, Long, Presentation, Paris, France: ATALA, 2023, pp. 74–92. URL: https://aclanthology.org/2023.jeptalnrecital-coria.5.
  • [12] P. Lerner, O. Ferret, C. Guinaudeau, H. Le Borgne, R. Besançon, J. G. Moreno, and J. Lovón Melgarejo, “A Dataset for Answering Visual Questions About Named Entities Using Knowledge Bases,” in Proceedings of the Conference on Natural Language Processing (TALN) 2022, Rank C, Short, Presentation, Avignon, France: ATALA, 2022, pp. 434–444. URL: https://aclanthology.org/2022.jeptalnrecital-taln.43/.
  • [13] P. Lerner and L. Likforman-Sulem, “Classification of Online Handwriting Time Series for Parkinson’s Disease Diagnosis using Deep Learning,” in Proceedings of the 4th Junior Conference on Data Science and Engineering (JDSE) (non-archival), Short Paper, Poster, 2019, p. 3. Peer-reviewed international workshops
  • [14] P. Lerner and C. Grouin, “INCLURE: A Dataset and Toolkit for Inclusive French Translation,” in Proceedings of the 17th Workshop on Building and Using Comparable Corpora (BUCC) @ LREC-COLING 2024, P. Zweigenbaum, R. Rapp, and S. Sharoff, eds., Long, Presentation, 10 pages, Turin, Italy: ELRA and ICCL, May 2024, pp. 59–68. URL: https://aclanthology.org/2024.bucc-1.7. 5/6 Invited Seminars
  • [15] P. Lerner, “Automatic Data Annotation and Webly Supervised Visual Question Answering,” in Knowledge[1]Enhanced Information Retrieval workshop (KEIR @ ECIR 2024), Glasgow, Scotland, 2024. URL: https://keirworkshop.github.io/.
  • [16] P. Lerner, “Towards Machine Translation of Scientific Neologisms,” in IRIT seminars, Toulouse, France, 2024. URL: https://www.irit.fr/EVT/PDF/evt-1070-en.pdf.

See also