Christophe Gravier

Christophe Gravier

Professor of Computer Science

Université Jean Monnet

Short bio

I am a Professor of Computer Science at Université Jean Monnet, Saint-Etienne, France. Since May 2022, I am the Director of Télécom Saint-Etienne, a public engineering school with Université Jean Monnet and affiliated to Institut Mines Télécom. Previously, between May 2017 until May 2022 I was the Director of development and innovation at Télécom Saint-Etienne.

My teaching at Télécom Saint-Etienne mainly includes algorithms and data structures (~L3), Java programming language and its ecosystem (M1), high performance computing on single node (M1), machine learning (M2), and data analysis/big data (M2).

My research at Laboratoire Hubert Curien (UMR CNRS 5516) includes Natural Language Processing and Artificial Intelligence. I am especially interested in machine learning for NLP, with applications to text classification, text generation, question answering systems and information retrieval.

Interests
  • Natural Language Processing
  • Artificial Intelligence
  • Information Retrieval
  • Text representation learning
  • Few shots learning, meta-learning
  • Generative language models
  • Question answering systems
  • Knowledge bases
Education

  • HDR in Computer Science, 2015

    Université Jean Monnet

  • PhD in Computer Science, 2007

    Université Jean Monnet

  • Research Master (Msc) in Computer networks, services, and telecommunications, 2005

    INSA Lyon

  • Engineer (Eng.) from Télécom Saint-Etienne (formerly ISTASE), 2004

    Université Jean Monnet

Recent News

My ongoing academic activities

January 2023Joined the 61st ACL Program Committee as Area Chair in Semantics: Sentence-level Semantics, Textual Inference, etc. track.
October 2022Joined the HCERES (Haut Conseil de l'évaluation de la recherche et de l'enseignement supérieur) as a member of committee evaluating French public research laboratory from the 2022-2023 vague C
September 2022Joined the Bureau (board) of FormasupARL, a French Centre de Formation des Apprentis (FormasupARL is a major French organism hosting apprenticeship curriculums).
July, 8th 2022Co-organizing international NLP workshop. With colleagues from ERIC Lab and NaverLabs Europe involved in the ANR Diké project, we organized an international workshop on bias in (compressed) Language Models. With invited speakers: Ian Davidson (Prof. CS dept. of University of California, Davis) and Aurélie Névéol (CNRS Researcher at LISN (formerly, LIMSI)).
June 2022Results for Appel à Projets Générique ANR 2022 are published, among which those of the commitee CES 38 "Interfaces: Sciences du numérique et sciences humaines et sociales" that I presided this year.
May, 5th 2022🍾 Elected Director of Télécom Saint-Etienne
April 2021Two accepted publications at The Web Conference 2022
Jan 2022One long paper entitled "Dynamic Gaussian Embedding of Authors" accepted at TheWebConf 2022 with Antoine Gourru, Julien Velcin, Julien Jacques (pre-print to come)
Nov 2021Two Master internship positions opened in NLP:
Aug 2021One demo paper accepted at ISWC 2021
July 2021PI of an accepted ANR project named Dike (p. 47), with ERIC lab and Naver Labs Europe (2022-2025)
July 2021Public report for the Reviewer Mentoring Committee co-chair role at ACL 2021
July 2021Accepted a three year service in the Novel Program Committee Board of IJCAI (June 2022 - June 2024)
June 2021Accepted a one year service as a reviewer for the new ACL Rolling Review (June 2021 - June 2022)
June 2021One paper accepted at ACL 2021
May 2021Releasing ACL 2021 set of reviewer mentoring videos
Jan 2021One paper accepted at EACL 2021
Dec 2020Invited as Reviewer Mentoring Committee co-chair at ACL 2021
Oct 2020One paper accepted at COLING 2020
Oct 2020Local coordinator of the newly accepted EU project DC4DM on how to teach with and towards digital creativity with EMSE, Politecnico Milano and Unversidade de Madeira
Sept 2020🍾 Named Full Professor of Computer Science at Université Jean monnet (teach: Télécom Saint-Etienne research: Lab. H. Curien UMR CNRS 5516)
Jan 2020One paper accepted at ECAI 2020
Sept 2019Nominated to the "Maitre de Conférences" college of the French CNU 27 for 2019--2023.
Update sept. 2020: Quit after being promoted Full Professor (incompatible)

PhD students

Co-supervised

Currently (Sorted by PhD starting date, asc.): Raphaël Chevasson, Kunpeng Guo, Fatos Torba, Thibaud Leteno.

Alumini (Sorted by PhD defense date, desc.): Thomas Dopierre, Julien Tissier, Hady Elsahar, Jules Chevalier, Mérième Ghenname, Amro Najjar, Antoine Lavignotte, Yves-Gaël Billet, Benjamin Jailly

Publications

A selection of recent publications

Antoine Gourru, Julien Velcin, Christophe Gravier, Julien Jacques (2022). Dynamic Gaussian Embedding of Authors. Proceedings of The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022, WWW 22, 2109–2119.

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Kunpeng Guo, Clement Defretiere, Dennis Diefenbach, Christophe Gravier, Antoine Gourru (2022). QAnswer: Towards Question Answering Search over Websites. Proceedings of The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022, WWW 22, 252–255.

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Thomas Dopierre, Christophe Gravier, Wilfried Logerais (2021). ProtAugment: Intent Detection Meta-Learning through Unsupervised Diverse Paraphrasing. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL/IJCNLP 2021, (Volume 1: Long Papers), Virtual Event, August 1-6, 2021.

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Thomas Dopierre, Christophe Gravier, Wilfried Logerais (2021). A Neural Few-Shot Text Classification Reality Check. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, EACL 2021, Online, April 19 - 23, 2021.

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Timothé Bernard, Tanguy Moreau, Clément Viricel, Paul Mougel, Christophe Gravier, Frédérique Laforest (2020). Learning Joint Job Embeddings Using a Job-Oriented Asymmetrical Pairing System. ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020 - Including 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020).

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Thomas Dopierre, Christophe Gravier, Julien Subercaze, Wilfried Logerais (2020). Few-shot Pseudo-Labeling for Intent Detection. Proceedings of the 28th International Conference on Computational Linguistics, COLING 2020, Barcelona, Spain (Online), December 8-13, 2020.

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Julien Tissier, Christophe Gravier, Amaury Habrard (2019). Near-Lossless Binarization of Word Embeddings. The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019.

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José M. Giménez-García, Maísa Cristina Duarte, Antoine Zimmermann, Christophe Gravier, Pierre Maret (2018). NELL2RDF: Reading the Web, Tracking the Provenance, and Publishing it as Linked Data. Joint Proceedings of the International Workshops on Contextualized Knowledge Graphs, and Semantic Statistics co-located with 17th International Semantic Web Conference (ISWC 2018).

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Julien Velcin, Antoine Gourru, Erwan Giry-Fouquet, Christophe Gravier, Mathieu Roche, Pascal Poncelet (2018). Readitopics: Make Your Topic Models Readable via Labeling and Browsing. Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI 2018, July 13-19, 2018, Stockholm, Sweden.

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Antoine Gourru, Julien Velcin, Mathieu Roche, Christophe Gravier, Pascal Poncelet (2018). United We Stand: Using Multiple Strategies for Topic Labeling. Natural Language Processing and Information Systems - 23rd International Conference on Applications of Natural Language to Information Systems, NLDB 2018, Paris, France, June 13-15, 2018, Proceedings.

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Lucie-Aimée Kaffee, Hady ElSahar, Pavlos Vougiouklis, Christophe Gravier, Frédérique Laforest, Jonathon S. Hare, Elena Simperl (2018). Mind the (Language) Gap: Generation of Multilingual Wikipedia Summaries from Wikidata for ArticlePlaceholders. The Semantic Web - 15th International Conference, ESWC 2018, Heraklion, Crete, Greece, June 3-7, 2018, Proceedings.

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Lucie-Aimée Kaffee, Hady ElSahar, Pavlos Vougiouklis, Christophe Gravier, Frédérique Laforest, Jonathon S. Hare, Elena Simperl (2018). Learning to Generate Wikipedia Summaries for Underserved Languages from Wikidata. Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT, New Orleans, Louisiana, USA, June 1-6, 2018, Volume 2 (Short Papers).

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Hady ElSahar, Christophe Gravier, Frédérique Laforest (2018). Zero-Shot Question Generation from Knowledge Graphs for Unseen Predicates and Entity Types. Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2018, New Orleans, Louisiana, USA, June 1-6, 2018, Volume 1 (Long Papers).

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Hady ElSahar, Pavlos Vougiouklis, Arslen Remaci, Christophe Gravier, Jonathon S. Hare, Frédérique Laforest, Elena Simperl (2018). T-REx: A Large Scale Alignment of Natural Language with Knowledge Base Triples. Proceedings of the Eleventh International Conference on Language Resources and Evaluation, LREC 2018, Miyazaki, Japan, May 7-12, 2018.

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Julien Subercaze, Christophe Gravier, Frédérique Laforest (2018). Real-time, Scalable, Content-based Twitter Users Recommendation. Companion of the The Web Conference 2018 on The Web Conference 2018, WWW 2018, Lyon , France, April 23-27, 2018.

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Pavlos Vougiouklis, Hady ElSahar, Lucie-Aimée Kaffee, Christophe Gravier, Frédérique Laforest, Jonathon S. Hare, Elena Simperl (2018). Neural Wikipedian: Generating Textual Summaries from Knowledge Base Triples. J. Web Semant..

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Syed Gillani, Abderrahmen Kammoun, Kamal Singh, Julien Subercaze, Christophe Gravier, Jacques Fayolle, Frédérique Laforest (2017). Pi-CEP: Predictive Complex Event Processing Using Range Queries over Historical Pattern Space. 2017 IEEE International Conference on Data Mining Workshops, ICDM Workshops 2017, New Orleans, LA, USA, November 18-21, 2017.

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Hady ElSahar, Christophe Gravier, Frédérique Laforest (2017). High Recall Open IE for Relation Discovery. Proceedings of the Eighth International Joint Conference on Natural Language Processing, IJCNLP 2017, Taipei, Taiwan, November 27 - December 1, 2017, Volume 2: Short Papers.

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Julien Subercaze, Christophe Gravier, Syed Gillani, Abderrahmen Kammoun, Frédérique Laforest (2017). Upsortable: Programming TopK Queries Over Data Streams. Proc. VLDB Endow..

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Julien Tissier, Christophe Gravier, Amaury Habrard (2017). Dict2vec : Learning Word Embeddings using Lexical Dictionaries. Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, EMNLP 2017, Copenhagen, Denmark, September 9-11, 2017.

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Hady ElSahar, Elena Demidova, Simon Gottschalk, Christophe Gravier, Frédérique Laforest (2017). Unsupervised Open Relation Extraction. The Semantic Web: ESWC 2017 Satellite Events - ESWC 2017 Satellite Events, Portorož, Slovenia, May 28 - June 1, 2017, Revised Selected Papers.

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Julien Subercaze, Christophe Gravier, Jules Chevalier, Frédérique Laforest (2016). Inferray: fast in-memory RDF inference. Proc. VLDB Endow..

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Jules Chevalier, Julien Subercaze, Christophe Gravier, Frédérique Laforest (2016). Incremental and Directed Rule-Based Inference on RDFS. Database and Expert Systems Applications - 27th International Conference, DEXA 2016, Porto, Portugal, September 5-8, 2016, Proceedings, Part II.

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Abderrahmen Kammoun, Syed Gillani, Christophe Gravier, Julien Subercaze (2016). High performance top-k processing of non-linear windows over data streams. Proceedings of the 10th ACM International Conference on Distributed and Event-based Systems, DEBS ‘16, Irvine, CA, USA, June 20 - 24, 2016.

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Julien Subercaze, Christophe Gravier, Frédérique Laforest (2016). Real-time, scalable, content-based Twitter users recommendation. Web Intell..

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Julien Subercaze, Christophe Gravier, Frédérique Laforest (2015). On metric embedding for boosting semantic similarity computations. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, ACL 2015, July 26-31, 2015, Beijing, China, Volume 2: Short Papers.

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