Chloé Clavel

Professor in Affective Computing

Publications

Journal papers

Aina Garí Soler, Matthieu Labeau and Chloé Clavel (2024). The Impact of Word Splitting on the Semantic Content of Contextualized Word Representations. To appear in Transactions of the Association for Computational Linguistics (TACL).

Dinkar, T., Clavel, C., & Vasilescu, I. (2023). Fillers in spoken language understanding: Computational and psycholinguistic perspectives. Revue en Traitement Automatique des Langues, Etat de l’art en TAL, Volume 63 – n˚3 / 2022 

Beatrice Biancardi, Mathieu Chollet, Chloé Clavel. Introducing the 3MT_French Dataset to Investigate the Timing of Public Speaking Judgements, 04 October 2022, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-2122814/v1], accepted to LRE

Clavel, C., Labeau, M., & Cassell, J. (2023). Socio-conversational Systems: Three Challenges at the Crossroads of Fields. Frontiers in Robotics and AI, 336. (SJR: Q2)

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. (SJR: Q1)

Hemamou, L., Guillon, A., Martin, J. C., & Clavel, C. (2021), Multimodal Hierarchical Attention Neural Network: Looking for Candidates Behaviour which Impact Recruiter’s Decision, IEEE Trans. of Affective Computing (SJR: Q1)

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. (SJR: Q1)

Rollet, N., & Clavel, C. (2020) “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  pp. 269–293 (SJR: Q1)

Youssef, A. B., Varni, G., Essid, S., & Clavel, C. (2019) On-the-fly Detection of User Engagement Decrease in Spontaneous Human-Robot Interaction, International Journal of Social Robotics. (SJR: Q1)

Ben-Youssef, A., Clavel, C., & Essid, S. (2019) Early Detection of User Engagement Breakdown in Spontaneous Human-Humanoid Interaction, IEEE Transactions on Affective Computing. (SJR: Q1)

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. (SJR: Q1)

Ravenet B, Pelachaud C, Clavel C, Marsella S. (2018) Automating the production of communicative gestures in embodied characters. Frontiers in Psychology. 2018;9:1144. (SJR: Q1)

Clavel, C., Damiano, R., Patti, V., Rosso, P. (2017) Affect and interaction in agent-based systems and social media: Guest editors’ introduction ACM Transactions on Internet Technology, 17 (1), art. no. 1 (SJR:Q1)

Varni, I. Hupont, C. Clavel, M. Chetouani, (2017) Computational Study of Primitive Emotional Contagion in Dyadic Interactions, IEEE Transactions of Affective Computing. (SJR: Q1)

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. (SJR: Q4)

Langlet, C., & Clavel, C. (2016) Grounding the detection of the user’s likes ´ and dislikes on the topic structure of human-agent interactions, Knowledge-Based Systems. (SJR: Q1)

Clavel, C. (2015) Surprise and human-agent interactions, Review of Cognitive Linguistics 13:2 , 461–477. doi 10.1075/rcl.13.2.08cla issn 1877–9751 / e-issn 1877–976x © John Benjamins Publishing Company (SJR: Q1)

Bawden, R., Clavel, C., & Landragin, F. (2016) Towards the generation of dialogue acts in socio-affective ECAs: a corpus-based prosodic analysis, Language Resources and Evaluation, Springer Netherlands (SJR: Q1)

Clavel, C.; Callejas, Z. (2016) Sentiment analysis: from opinion mining to human-agent interactionAffective Computing, IEEE Transactions on, 7.1 : 74-93. (SJR:Q1)

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

Clavel, C., Adda, G., Cailliau, F., Garnier-Rizet, M., Cavet, A., Chapuis, G., … & Suignard, P. (2013) Spontaneous speech and opinion detection: mining call-centre transcripts. Language Resources an Evaluation, vol. 47, number 4, pages 1089-1125, Springer. (SJR: Q1)

Clavel, C., Vasilescu, I., & Devillers, L. (2011). Fiction supports for realistic portrayals of fear-type emotional manifestations. Computer Speech and Language, 25(1) :63–83, January 2011. (SJR: Q2)

Lavalley, R., Clavel, C., & Bellot, P. (2010). Extraction probabiliste de chaînes de mots relatives à une opinion. Revue Traitement Automatique des Langues, 51 :101–130, 2010. (SJR: Q3)

Clavel, C., Vasilescu, I., Devillers, L., Richard, G., & Ehrette, T. (2008). Fear-type emotions recognition for future audio-based surveillance systems. Speech Communication, 50 :487–503. (SJR: Q1)

Clavel, C., Vasilescu, I., Richard, G., & Devillers, L. (2006). De la construction du coprus émmotionnel 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.

Book

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.

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

International Conference papers

M. Hulcelle, G. Varni, N. Rollet and C. Clavel, “Comparing a Mentalist and an Interactionist Approach for Trust Analysis in Human-Robot Interaction,” International Conference on Human-Agent Interaction, HAI 2023, Gothenburg, Sweden, https: // doi. org/ 10.1145/ 3623809. 3623840

M. Hulcelle, L. Hemamou, G. Varni, N. Rollet and C. Clavel, “Leveraging Interactional Sociology for Trust Analysis in Multiparty Human-Robot Interaction,” International Conference on Human-Agent Interaction, HAI 2023, Gothenburg, Sweden, https: // doi. org/10. 1145/ 3623809. 3623973

Barkar, A., Chollet, M., Biancardi, B., & Clavel, C. (2023, October). Insights Into the Importance of Linguistic Textual Features on the Persuasiveness of Public Speaking. In Companion Publication of the 25th International Conference on Multimodal Interaction (pp. 51-55).

Alafate Abulimiti, Chloé Clavel and Justine Cassell, « When to generate hedge in peer tutoring interaction? », SIGDIAL 2023

Alafate Abulimiti, Chloé Clavel and Justine Cassell, « How About Kind of Generating Hedges using End-to-End Neural Models? », ACL 2023

L. Vanel., A. Yacoubi., and C. Clavel. (2023), “A New Task for Predicting Emotions and Dialogue Strategies in TaskOriented Dialogue”, ACII 2023

Guibon, G., Labeau, M., & Clavel, C. (2023) An Adaptive Layer to Leverage both Domain and Task Specific Information from Scarce Data, AAAI

Vanel, L., Yacoubi, A., Clavel, C. (2023) A Survey of Socio-Emotional Strategies for Generation-Based Conversational Agents, ICAART

Biancardi, B., Duan, Y. Chollet, M., Clavel, C. (2023) It’s not Just What You Do but also When You Do It: Novel Perspectives for Informing Interactive Public Speaking Training, HUCAPP

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

Helwe, C., Coumes, S., Clavel, C., & Suchanek, F. (2022). TINA: Textual Inference with Negation Augmentation. Findings of the Association for Computational Linguistics: EMNLP.

Helwe, C., Clavel, C., & Suchanek, F. (2022). LogiTorch: A PyTorch-based library for logical reasoning on natural language. In The 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations.

Soler, A. G., Labeau, M., & Clavel, C.(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.

Chhun, C., Colombo, P., Suchanek, F., & Clavel, C. (2022) Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story Generation (HANNA), Computational Linguistics (COLING)

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

Guibon, G., M. Labeau, L. Lefeuvre, C. Clavel (2022). EZCAT: an Easy Conversation Annotation Tool. In LREC 2022.

Garí Soler, A.,  M.Labeau and C. 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

Chadi Helwe, Chloé Clavel, Fabian Suchanek (2021). Reasoning with transformer-based models: Deep learning, but shallow reasoning. 3rd Conference on Automated Knowledge Base Construction (AKBC 2021).

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)

Guibon, G., M. Labeau, H. Flamein, L. Lefeuvre, C. Clavel (2021). Few-Shot Emotion Recognition in Conversation with Sequential Prototypical Networks. In EMNLP 2021. Code

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

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

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, Pablo Piantanida, Chloe Clavel. « 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

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.

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

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

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

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.

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

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.

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.

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.

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.

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.

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.

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

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

L. Vanel., A. Yacoubi., and C. Clavel., “Protocole d’annotation multi-label pour une nouvelle approche à la génération de réponse socio-émotionnelle orientée-tâche”, TALN 2023

Aina Garí Soler, Matthieu Labeau and Chloé Clavel (2023). Un mot, deux facettes : traces des opinions dans les représentations contextualisées des mots. To appear Actes de la 30e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale, Paris, France, June 5-8.

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

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

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.

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

Aina Garí Soler, Matthieu Labeau and Chloé Clavel (2023). Measuring Lexico-Semantic Alignment in Debates with Contextualized Word Representations. To appear in Proceedings of the 1st Workshop on Social Influence in Conversations (SICon), Toronto, Canada, July 14. Prize: Outstanding research paper 

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 (2021) From Local Hesitations to Global Impressions of a Speaker’s Feeling of Knowing, SEMDIAL.

Hulcelle, M., Varni, G., Rollet, N., Clavel, C. (2022). “Computational Multimodal Models of Users’ Interactional Trust in Multiparty Human-Robot Interaction”. In: Rousseau, JJ., Kapralos, B. (eds) Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges.  Lecture Notes in Computer Science, vol 13643. Springer, Cham.

Guibon, G., Labeau, M., Flamein, H., Lefeuvre, L., & Clavel, C (2021) 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)

Dinkar, T., Vasilescu, I., Pelachaud, C., & Clavel, C. (2018) Disfluences and teaching strategies in social interactions between a pedagogical agent and a student: background and challenges, SEMDIAL.

Hemamou, L., Wajntrob, G., Martin, J. C., & Clavel, C (2018) Entretien vidéo différé : modèle prédictif pour la pré-sélection de candidats sur la base du contenu verbal, Workshop Affect, Compagnon Artificiel, Interaction

Janssoone, T., C. Clavel, K. Bailly and G. Richard (2016) Des signaux sociaux aux attitudes : de l’utilisation des règles d’association temporelle,  Workshop Affect, Compagnon Artificiel, Interaction , 2016

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

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

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

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

Danesi, C. and  Clavel, C. (2010). 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

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

P.h.D Thesis and Habilitation à Diriger des rercherches (HDR)

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

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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