Chloé Clavel

Professor in Affective Computing


Oral presentations and invited talks:

HDR  and PhD Thesis

Analyse des opinions dans les interactions : de la fouille de données à l’interaction humain-agent, HDR (Habilitation à Diriger des Recherches), defended in May 2017

Analyse et reconnaissance des manifestations acoustiques des émotions de type peur en situations anormales, Phd Thesis, defended in March 2007

Journal papers

Clavel, C., Labeau, M., & Cassell, J. Socio-conversational Systems: Three Challenges at the Crossroads of Fields. Frontiers in Robotics and AI, 336.

Norman, U., Dinkar, T., Bruno, B., & Clavel, C. (2022). Studying Alignment in a Collaborative Learning Activity via Automatic Methods: The Link Between What We Say and Do. Dialogue & Discourse, 13(2), 1-48.

Leo Hemamou;Arthur Guillon;Jean-Claude Martin;Chloe Clavel, Multimodal Hierarchical Attention Neural Network: Looking for Candidates Behaviour which Impact Recruiter’s Decision, IEEE Trans. of Affective Computing

Duplessis, G. D., Langlet, C., Clavel, C., & Landragin, F. (2021). Towards alignment strategies in human-agent interactions based on measures of lexical repetitionsLanguage Resources and Evaluation, 1-36.

Nicolas Rollet, Chloé Clavel. “Talk to you later” Doing social robotics with conversation analysis. Towards the development of an automatic system for the prediction of disengagement, Article in : Interaction Studies Vol. 21:2 (2020) pp. 269–293

Atef Ben Youssef, Giovanna Varni, Slim Essid, Chloé Clavel, On-the-fly Detection of User Engagement Decrease in Spontaneous Human-Robot Interaction, International Journal of Social Robotics, 2019.

Atef Ben Youssef ; Chloe Clavel ; Slim Essid Early Detection of User Engagement Breakdown in Spontaneous Human-Humanoid Interaction, IEEE Transactions on Affective Computing, 2019 

Gasco, L., Clavel, C., Asensio, C. and de Arcas, G., 2019. Beyond sound level monitoring: Exploitation of social media to gather citizens subjective response to noise. Science of The Total Environment 658, pp.69-79.

Ravenet B, Pelachaud C, Clavel C, Marsella S. Automating the production of communicative gestures in embodied characters. Frontiers in Psychology. 2018;9:1144.

Clavel, C., Damiano, R., Patti, V., Rosso, P. Affect and interaction in agent-based systems and social media: Guest editors’ introduction (2017) ACM Transactions on Internet Technology, 17 (1), art. no. 1

G. Varni, I. Hupont, C. Clavel, M. Chetouani, Computational Study of Primitive Emotional Contagion in Dyadic Interactions, IEEE Transactions of Affective Computing (early access) (IF = 6.28)10.1109/TAFFC.2017.2778154

Janssoone, T., Clavel, C., Bailly, K. and Richard, G., 2017. Règles d’Associations Temporelles de signaux sociaux pour la synthèse d’Agents Conversationnels Animés. Revue d’intelligence artificielle–no511, p.537.

Caroline Langlet, Chloe Clavel, Grounding the detection of the user’s likes ´ and dislikes on the topic structure of human-agent interactions, Knowledge-Based Systems (2016), (IF = 4.5)

C. Clavel, Surprise and human-agent interactions, Review of Cognitive Linguistics 13:2 (2015), 461–477. doi 10.1075/rcl.13.2.08cla issn 1877–9751 / e-issn 1877–976x © John Benjamins Publishing Company

R. Bawden, C. Clavel, F. Landragin, Towards the generation of dialogue acts in socio-affective ECAs: a corpus-based prosodic analysis, Language Resources and Evaluation, Springer Netherlands, 2015

Clavel, C.; Callejas, Z., Sentiment analysis: from opinion mining to human-agent interactionAffective Computing, IEEE Transactions on, 7.1 (2016)(IF = 6.28): 74-93.

M. Ochs, Y. Ding, N. Fourati, M. Chollet, B. Ravenet,  F. Pecune, N. Glas, K. Prepin, C. Clavel et C. Pelachaud. Vers des Agents Conversationnels Animés Socio-affectifs . Journal d’Interaction Personne-Système (JIPS), JIPS, Mars 2014, 3 (2), pp.1-23

C. Clavel, G. Adda, F. Cailliau, M. Garnier-Rizet, A. Cavet, G. Chapuis, S. Courcinous, C. Danesi, A. Daquo, M. Deldossi, et al. Spontaneous speech and opinion detection: mining call-centre transcripts. Language Resources an Evaluation, vol. 47, number 4, pages 1089-1125, Springer, 2013.

C. Clavel, I. Vasilescu, and L. Devillers. Fiction supports for realistic portrayals of fear-type emotional manifestations. Computer Speech and Language, 25(1) :63–83, January 2011.

R. Lavalley, C. Clavel, and P. Bellot. Extraction probabiliste de chaînes de mots relatives à une opinion. Revue Traitement Automatique des Langues, 51 :101–130, 2010.

C. Clavel, I. Vasilescu, L. Devillers, G. Richard, and T. Ehrette. Fear-type emotions recognition for future audio-based surveillance systems. Speech Communication, 50 :487–503, 2008.

C. Clavel, I. Vasilescu, G. Richard, and L. Devillers. De la construction du corpus émotionnel au système de détection. le point de vue applicatif de la surveillance dans les lieux publics. Revue d’Intelligence Artificielle, numéro spécial Interactions émotionnelles, 20(4- 5) :529–551, 2006.


Clavel, C., 2019. Opinion Analysis in Interactions: From Data Mining to Human-Agent Interaction. John Wiley & Sons.

Clavel, Chloé. Analyse des opinions dans les interactions: De la fouille de données à l’interaction humain-agent. ISTE Editions, 2019.

Book chapters

Clavel, C., Cafaro, A., Campano, S., & Pelachaud, C. (2016). Fostering user engagement in face-to-face human-agent interactions: a survey. In Toward Robotic Socially Believable Behaving Systems-Volume II (pp. 93-120). Springer International Publishing.

Clavel, C., & Richard, G. (2011). Recognition of acoustic emotion. Emotion-Oriented Systems, John Wisley, 139-167.

C. Clavel and G. Richard. Système d’intéraction émotionnelle, chapitre 5 Reconnaissance acoustique des émotions. 2009.

International Conference papers

Guo, Y., Clavel, C., Eddine, M. K., & Vazirgiannis, M. (2022). Questioning the Validity of Summarization Datasets and Improving Their Factual Consistency. EMNLP

 (2022). TINA: Textual Inference with Negation Augmentation. Findings of the Association for Computational Linguistics: EMNLP 2022.

Chadi Helwe, Chloé Clavel, Fabian M. Suchanek. LogiTorch: A Pytorch-based library for logical reasoning on natural language. Demo paper at the Conference on Empirical Methods in Natural Language Processing (EMNLP, 2022)

Aina Garí Soler, Matthieu Labeau and Chloé Clavel (2022). One Word, Two Sides: Traces of Stance in Contextualized Word Representations. Proceedings of the 29th International Conference on Computational Linguistics (COLING), Gyeongju, Korea, October 12-17.

Cyril Chhun, Pierre Colombo, Fabian M. Suchanek, Chloé Clavel, Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story Generation (HANNA), Computational Linguistics (COLING, 2022)

R. Deng, L. Panl and C. Clavel (2022), « Domain Adaptation for Stance Detection towards Unseen Target on Social Media, » 2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII)

Gaël Guibon, Matthieu Labeau, Luce Lefeuvre, Chloé Clavel (2022). EZCAT: an Easy Conversation Annotation Tool. In LREC 2022.

Aina Garí Soler, Matthieu Labeau and Chloé Clavel (2022). Polysemy in Spoken Conversations and Written Texts. In Proceedings of the 13th Language Resources and Evaluation Conference (LREC), Marseille, France, June 20-25.

Raphalen, Y., Clavel, C. & Cassell, J. (2022). « You might think about slightly revising the title »: identifying hedges in peer-tutoring interactions. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL), Long Papers.

Colombo, Pierre, Chloe Clavel, and Pablo Piantanida (2022).  « InfoLM: A New Metric to Evaluate Summarization & Data2Text Generation. » AAAI . Outstanding student paper

Dinkar, T., Biancardi, B., & Clavel, C. (2021). From local hesitations to global impressions of a speaker’s feeling of knowing. In Proceedings of The Fourth International Conference on Natural Language and Speech Processing (ICNLSP 2021) (pp. 232-241).

Colombo, P., Yang, C., Varni, G., & Clavel, C. (2021). Beam Search with Bidirectional Strategies for Neural Response Generation. arXiv preprint arXiv:2110.03389. In Proceedings of The Fourth International Conference on Natural Language and Speech Processing (ICNLSP 2021)

Gaël Guibon, Matthieu Labeau, Hélène Flamein, Luce Lefeuvre, Chloé Clavel (2021). Few-Shot Emotion Recognition in Conversation with Sequential Prototypical Networks. In EMNLP 2021. Code

E. Chapuis, P. Colombo, M. Labeau, and C. Clavel. Code-switched inspired losses for generic spoken dialog representations. EMNLP 2021.

P. Colombo, E. Chapuis, M. Labeau, and C. Clavel. Improving multimodal fusion via mutual dependency maximisation. EMNLP 2021.

P. Colombo, G. Staerman, C. Clavel and P. Piantanida. Automatic Text Evaluation through the Lens of Wasserstein Barycenters. EMNLP 2021

Léo Hemamou, Arthur Guillon, Jean-Claude Martin and Chloé Clavel. Don’t Judge Me by My Face: An Indirect Adversarial Approach to Remove Sensitive Information From Multimodal Neural Representation in Asynchronous Job Video Interviews, ACII 2021

Marc Hulcelle, Chloé Clavel, Giovanna Varni and Nicolas Rollet. TURIN : A coding system for Trust in hUman Robot INteraction, ACII 2021

Pierre Colombo, Chloe Clavel, Pablo Piantanida. « A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations » ACL (2021)

Dinkar, Tanvi, Pierre Colombo, Matthieu Labeau, and Chloé Clavel. « The importance of fillers for text representations of speech transcripts. » EMNLP (2020).

Jalalzai, Hamid, Pierre Colombo, Chloé Clavel, Eric Gaussier, Giovanna Varni, Emmanuel Vignon, and Anne Sabourin. « Heavy-tailed Representations, Text Polarity Classification & Data Augmentation. » Neurips 2020.

Emile Chapuis, Pierre Colombo, Matteo Manica, Matthieu Labeau, Chloe Clavel, Hierarchical Pre-training for Sequence Labelling in Spoken Dialog, Findings of EMNLP 2020

Asma Atamna, Chloé Clavel. HRI-RNN: A User-Robot Dynamics-Oriented RNN for Engagement Decrease Detection. INTERSPEECH 2020, Oct 2020, Shanghai, China.

Kantharaju, Reshmashree Bangalore, Caroline Langlet, Mukesh Barange, Chloé Clavel, and Catherine Pelachaud. « Multimodal Analysis of Cohesion in Multi-party Interactions. » In Proceedings of The 12th Language Resources and Evaluation Conference, pp. 498-507. 2020.

Janssoone, Thomas, Kévin Bailly, Gaël Richard, and Chloé Clavel. « The POTUS Corpus, a database of weekly addresses for the study of stance in politics and virtual agents. » In Proceedings of The 12th Language Resources and Evaluation Conference, pp. 1546-1553. 2020.

Dinkar, T., Vasilescu, I., Pelachaud, C. and Clavel, C., 2020, May. How confident are you? Exploring the role of fillers in the automatic prediction of a speaker’s confidence. In ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 8104-8108). IEEE.

Pierre Colombo and Emile Chapuis and Matteo Manica and Emmanuel Vignon and Giovanna Varni and Chloe Clavel, Guiding attention in Sequence-to-sequence models for Dialogue Act prediction, AAAI 2020

Alexandre Garcia, Pierre Colombo, Florence d’Alché-Buc, Slim Essid and Chloé Clavel, From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining, EMNLP 2019

Hemamou, L., Felhi, G., Martin, J. C., & Clavel, C. (2019). Slices of Attention in Asynchronous Video Job Interviews. ACII 2019, arXiv preprint arXiv:1909.08845.

Fajrian Yunus, Chloé Clavel and Catherine Pelachaud, Gesture Class Prediction By Attention Model, in IVA 2019

L. Hemamou, G. Felhi, V. Vandenbussche, J.-C. Martin, C. Clavel, HireNet: a Hierarchical Attention Model for the Automatic Analysis of Asynchronous Video Job Interviews. in AAAI 2019

Caroline Langlet, Chloé Clavel, Detecting User’s Likes and Dislikes for a Virtual Negotiating Agent, ICMI 2018

Alexandre Garcia, Chloé Clavel, Slim Essid , Florence d’Alche-Buc, Structured Output Learning with Abstention: Application to Accurate Opinion Prediction, ICML 2018

Brian Ravenet, Chloé Clavel, Catherine Pelachaud, Automatic Nonverbal Behavior Generation from Image Schemas, AAMAS 2018

Valentin Barriere, Chloé Clavel, Slim Essid : « Attitude Classification in Adjacency Pairs of a Human-Agent Interaction with Hidden Conditional Random Fields », in Proc. ICASSP, Calgary, Apr. 2018

Maslowski, I., Lagarde, D., Clavel, C., In-the-wild chatbot corpus from opinion analysis to interaction problem detection, ICNLSSP 2017

Atef Ben Youssef, Miriam Bilac, Slim Essid, Chloé Clavel, Angelica Lim, Marine Chamoux, UE-HRI: A New Dataset for the Study of User Engagement in Spontaneous Human-Robot Interactions In Proceedings of ACM International Conference on Multimodal Interaction, Glasgow, Scotland, November 2017 (ICMI17)

Langlet, C., Duplessis, G.D. and Clavel, C., 2017, August. A Web-Based Platform for Annotating Sentiment-Related Phenomena in Human-Agent Conversations. In International Conference on Intelligent Virtual Agents (pp. 239-242). Springer, Cham.

Dubuisson Duplessis, G.; Clavel, C.; Landragin, F., Automatic Measures to Characterise Verbal Alignment in Human-Agent Interaction, 18th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL), 2017, pp. 11p. Link to the code for measuring verbal alignment  

Barrière, V., Clavel, C., Essid, E., Opinion Dynamics Modeling for Movie Review Transcripts Classification with Hidden Conditional Random Fields, Interspeech 2017

Janssoone, T., Clavel, C., Bailly, K. and Richard, G., 2016, September. Using temporal association rules for the synthesis of embodied conversational agents with a specific stance. In International Conference on Intelligent Virtual Agents (pp. 175-189). Springer International Publishing.

C. Langlet and C. Clavel, Adapting sentiment analysis to face-to-face human-agent interactions: from detection to evaluation issues, in ACII 2015,

C. Langlet and C. Clavel, « Improving social relationships in face-to-face human-agent interactions: when the agent wants to know user’s likes and dislikes« , in ACL 2015

S. Campano, C. Clavel, C. Pelachaud, « I like this painting too »: when an ECA shares appreciations to engage users, in AAMAS 2015, Istanbul, Turkey.

C. Dutrey, C. Clavel, S. Rosset, I. Vasilescu, and M. Adda-Decker, “A crf-based approach to automatic disfluency detection in a french call-centre corpus,” in Interspeech, 2014.

S. Campano, J. Durand and . Clavel, Comparative analysis of verbal alignment in human-human and human-agent interactions, InProceedings of LREC 2014, Reykjavik

M. Chollet, M. Ochs, C. Clavel and C. Pelachaud, A multimodal corpus approach to the design of virtual recruiters, In Proceedings of the Conference on Affective Computing and Intelligent Interaction (ACII), Genova, Switzerland, July 2013.

R. Lavalley, C. Clavel, P. Bellot, and M. El-Bèze. Combining text categorization and dialog modeling for speaker role identification on call center conversations. In Proc. of InterSpeech, Makuhari, 2010.

R. Lavalley, C. Clavel, M. El-Bèze, and P. Bellot. Finding topic specific strings in text categorization and opinion mining contexts. In Proc. of DMIN, Las Vegas, 2010.

C. Clavel, L. Devillers, G. Richard, I. Vasilescu, and T. Ehrette. Abnormal situations detection and analysis through fear-type acoustic manifestations. In Proc. of ICASSP, Honolulu, 2007.

C. Clavel, I. Vasilescu, L. Devillers, T. Ehrette, and G. Richard. Safe corpus : fear-type emotions detection for surveillance application. In Proc. of LREC, pages 1099–1104, Genoa, 2006.

C. Clavel, I. Vasilescu, G. Richard, and L. Devillers. Voiced and unvoiced content of fear-type emotions in the safe corpus. In Proc. of Speech Prosody, Dresdes, 2006.

C. Clavel, T. Ehrette, and G. Richard. Events detection for an audio-based surveillance system. In Proc. of ICME, Amsterdam, 2005.

C. Clavel, I. Vasilescu, L. Devillers, and T. Ehrette. Fiction database for emotion detection in abnormal situations. In Proc. of ICSLP, pages 2277–2280, Jeju, 2004.

French Conference papers

Gaël Guibon, Matthieu Labeau, Hélène Flamein, Luce Lefeuvre, Chloé Clavel : Méta-apprentissage : classification de messages en catégories émotionnelles inconnues en entraînement, TALN (2021)

Caroline Langlet  and Chloé Clavel, Modélisation des questions de l’agent pour l’analyse des affects, jugements et appréciations de l’utilisateur dans les interactions humain-agent, In Actes de TALN 2014, Marseille

Dutrey, C., Rosset, S., Adda-Decker, M., Clavel, C., & Vasilescu, I. Disfluences dans la parole spontanée conversationnelle: détection automatique utilisant des indices lexicaux et acoustiques. In Actes de JEP, Le Mans 2014

M. Ochs, Y. Ding, N. Fourati, M. Chollet, B. Ravenet, F. Pecune, N. Glas, K. Prépin, C. Clavel et C. Pelachaud, Vers des Agents Conversationnels Animés Socio-Affectifs, Interaction Humain-Machine (IHM), Bordeaux, France, Novembre 2013.

Dutrey, C., Clavel, C., Rosset, S., Vasilescu, I., & Adda-Decker, M. Quel est l’apport de la détection d’entités nommées pour l’extraction d’information en domaine restreint?, In Actes de la conférence conjointe JEP-TALN-RECITAL 2012, volume 2: TALN, pages 359–366

C. Dutrey, A. Peradotto, and C. Clavel. Analyse de forums de discussion pour la relation clients : du text mining au web content mining. In Actes de JADT, Liege, 2012.

L. Kuznick, A-L. Guènet, A. Peradotto, and C. Clavel. L’apport des concepts métiers pour la classification des questions ouvertes d’enquête. In Actes de TALN, Montréal, 2010.

Workshop papers

Biancardi, B., Ceccaldi, E., Clavel, C., Chollet, M., & Dinkar, T. (2021, October). CATS2021: International Workshop on Corpora And Tools for Social skills annotation. In Proceedings of the 2021 International Conference on Multimodal Interaction (pp. 857-859).

Tanvi Dinkar, Beatrice Biancardi and Chloé Clavel From Local Hesitations to Global Impressions of a Speaker’s Feeling of Knowing, SEMDIAL 2021

Gaël Guibon, Matthieu Labeau, Hélène Flamein, Luce Lefeuvre and Chloé Clavel, Meta-learning for Classifying Previously Unseen Data Source into Previously Unseen Emotional Categories, Workshop MetaNLP @ACL – Meta Learning and Its Applications to Natural Language Processing (2021)

Tanvi Dinkar, Ioana Vasilescu, Catherine Pelachaud and Chloé Clavel. « Disfluences and teaching strategies in social interactions between a pedagogical agent and a student: background and challenges », SEMDIAL 2018.

Léo Hemamou, Grégory Wajntrob, Jean-Claude Martin and Chloé Clavel, Entretien vidéo différé : modèle prédictif pour la pré-sélection de candidats sur la base du contenu verbal, Workshop Affect, Compagnon Artificiel, Interaction , 2018

Thomas Janssoone, Chloé Clavel, Kévin Bailly and Gaël Richard, Des signaux sociaux aux attitudes : de l’utilisation des règles d’association temporelle,  Workshop Affect, Compagnon Artificiel, Interaction , 2016

J. Fernando Sánchez-Rada, Björn Schuller, Viviana Patti, Paul Buitelaar, Gabriela Vulcu, Felix Burkhardt, Chloé Clavel, Michael Petychakis, Carlos A. Iglesias, Linked Data Models for Emotion and Sentiment Analysis W3C Community Group. (2016) Towards a Common Linked Data Model for Sentiment and Emotion Analysis. In LREC 2016 Workshop Emotion and Sentiment Analysis.

Campano, S., Langlet, C., Glas, N., Clavel, C., & Pelachaud, C. (2015). An ECA expressing appreciations. In Workshop on Engagement in Human Computer Interaction, ACII.

S. Campano, N. Glas, C. Langlet, C. Clavel, C.Pelachaud. Alignement par Production d’Hétéro-Répétitions chez un ACA. In Proc. Workshop Affect, Compagnon Artificiel, Interaction , 2014

Langlet, C.  and Clavel, C. Modelling user’s attitudinal reactions to the agent utterances: focus on the verbal content, 5th International Workshop on EMOTION, SOCIAL SIGNALS, SENTIMENT & LINKED OPEN DATA, LREC 2014

C. Clavel, C. Pelachaud and M. Ochs, User’s sentiment analysis in face-to-face human-agent interactions – prospects, Workshop on Affective Social Signal Computing, Satellite of Interspeech, Grenoble, August 2013.

Charlotte Danesi and Chloé Clavel. Impact of spontaneous speech features on business concept detection : a study of call-centre data. In Proceedings of the 2010 international workshop on Searching spontaneous conversational speech, SSCS ’10, pages 11–14, New York, NY, USA, 2010. ACM

C. Clavel, I. Vasilescu, L. Devillers, G. Richard, T. Ehrette, and C. Sedogbo. The safe corpus : illustrating extreme emotions in dynamic situations. In Proc. of LREC Workshop on Corpora for Research on Emotion and Affect, Genoa, 2006.

PhD students’ doctoral consortium papers

Maslowski I. Quelles sont les caractéristiques des interactions problématiques entre des utilisateurs et un conseiller virtuel ? RECITAL – Doctoral consortium of JEP-TALN 2016

Janssoone T. Temporal Association Rules for Modelling Multimodal Social Signals. InProceedings of the 2015 ACM on International Conference on Multimodal Interaction 2015 Nov 9 (pp. 575-579).

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