Oral presentations and invited talks:

• Le traitement automatique du langage naturel pour l’interaction humain-agent : vers des agents socialement compétents – Invited Speaker at R&T DAY INSTITUT COGNITION À LA VILLETTE – 5 OCTOBRE 2018 À PARIS
• Natural Language Processing for social computing : from opinion mining to human-agent interaction – Invited speaker at the Workshop Machine Learning & Artificial Intelligence
• Invited at the France Culture program : « La méthode scientifique » – 21 march 2018
• From Computational linguistics to human-agent interaction  : towards socially believable agents. Invited talk at  workshop Linguistique et Big Data organized by LIMSI-CNRS and MSH (Maison des Sciences de l’Homme) Paris Saclay (30 november 2017)
• Challenges and methods for opinion analysis in interactions – talk at SMART summer school on Computational Social and Behavioral Sciences (september 2017)
• Applications of Machine Learning in Social Computing – talk at LTCI research day (september 2017)
•  NLP in user experience – invited speaker  in the round table at  SITAL 2017
• Automatic analysis of the applicant during video interview : which scientific approach ? Invited talk at Viva Technology OpenHR Lab (june 2017)

•  Sentiment analysis in human-agent interaction.Invited  talk at Workshop on Constructions, Grammaire, Lexique et Cognition Theoretical and Empirical Approaches to Emotion Studies in Linguistics (13 November 2015)

• Invited at the final panel discussion at ESSEM@AAMAS 2015: Emotion and Sentiment in Social and Expressive Media:  opportunities and challenges for emotion-aware multi agent systems
• Sentiment analysis in human-agent interaction. Invited speech on the workshop on Constructions, Grammaire, Lexique et Cognition Theoretical and Empirical Approaches to Emotion Studies in Linguistics (11/13/2015)
• Surprise and human-agent interactions.  Invited Speech on the International Symposium on Describing and Expressing Surprise (October 10, 2014)
• Sentiment analysis and opinion mining: from data mining to human-machine interactions. Invited Speech on the Workshop on Statistics at EDF R&D,  November 2013
• Pour un agent virtuel poétique, David Christoffel, Magalie Ochs et Chloé Clavel, Journée Neurosciences, Esthétique et Complexité, Université Paris Descartes, sept. 2013
• Integration of heterogeneous data for customer knowledge, Open Data days at EDF R&D in September 2012

My publications via Google Scholar

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

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 = 3.14), 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–no, 511, 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 interaction, Affective Computing, IEEE Transactions on, 7.1 (2016)(IF = 3.14): 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.

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

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

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 (to appear)

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 (to appear)

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, to appear,

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, to appear

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

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

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).