Dr Paul Lerner

Education & Qualifications

Work experience

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. National peer-reviewed 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 hurts Morpho[1]logical Derivations in LLMs’, in Proceedings of the 31st International Conference on Computational Lin[1]guistics, Class B, Short, 5 pages, International Committee on Computational Linguistics, 2025. Available at: 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, Presentation, 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, Proceedings, 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, Category B, Long, Poster, Marseille, France: European Language Resources Association, 2022, pp. 3434–3441. Available at: 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, ser. IVA ’19, Rank B, Short Paper, Poster, 3 pages, Paris, France: Association for Computing Machinery, 2019, pp. 209–211, ISBN: 9781450366724. doi: 10.1145/3308532.3329442. National peer-reviewed conferences
• [10] P. Lerner and F. Yvon, ‘Towards the machine translation of scientific neologisms’, French, in Proceedings of the 31st Conference on Natural Language Processing, Volume 1: full 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. Available at: 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, H. Zargayouna, ed., Rang C, Long, Presentation, Paris, France: ATALA, 2023, pp. 74–92. Available at: 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, Class C, Short Paper, Presentation, Avignon, France: ATALA, 2022, pp. 434–444. Available at: 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, Poster, 2019, p. 3. International peer-reviewed 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. Available at: 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. Available at: 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.