Abstract
This paper introduces a web-based platform dedicated to the annotation of sentiment-related phenomena in human-agent conversations. The platform focuses on verbal content and deliberately sets aside non-verbal features. It is designed for managing two dialogue features: adjacency pair and conversation progression. Two annotation tasks are considered: (i) the detection of sentiment expressions, (ii) the ranking of user’s preferences. These two tasks focus on a set of specific targets. With this demonstration, we aim to introduce this platform to a large scientific audience and to get feedback for future improvements. Our long-term goal is to make the platform available as open-source tool.
Preview
Unable to display preview. Download preview PDF.
References
Clavel, C., Callejas, Z.: Sentiment analysis: from opinion mining to human-agent interaction. IEEE Transactions on Affective Computing PP (2015)
DeVault, D., Mell, J., Gratch, J.: Toward natural turn-taking in a virtual human negotiation agent. In: AAAI Spring Symposium on Turn-taking and Coordination in Human-Machine Interaction. AAAI Press, Stanford (2015)
Glas, N., Pelachaud, C.: User engagement and preferences in information-giving chat with virtual agents. In: Workshop on Engagement in Social Intelligent Virtual Agents (ESIVA), pp. 33–40 (2015)
Langlet, C., Clavel, C.: Grounding the detection of the user’s likes and dislikes on the topic structure of human-agent interactions. Knowledge-Based Systems 106, 116–124 (2016)
Nazari, Z., Lucas, G.M., Gratch, J.: Opponent modeling for virtual human negotiators. In: Brinkman, W.-P., Broekens, J., Heylen, D. (eds.) IVA 2015. LNCS (LNAI), vol. 9238, pp. 39–49. Springer, Cham (2015). doi:10.1007/978-3-319-21996-7_4
Poignant, J.: The CAMOMILE collaborative annotation platform for multi-modal, multi-lingual and multi-media documents. In: LREC 2016 Conference, Portoroz, Slovenia, May 2016
Stenetorp, P., Pyysalo, S., Topić, G., Ohta, T., Ananiadou, S., Tsujii, J.: Brat: a web-based tool for nlp-assisted text annotation. In: Proceedings of the Demonstrations at the 13th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2012, pp. 102–107. Association for Computational Linguistics, Stroudsburg (2012)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Langlet, C., Duplessis, G.D., Clavel, C. (2017). A Web-Based Platform for Annotating Sentiment-Related Phenomena in Human-Agent Conversations. In: Beskow, J., Peters, C., Castellano, G., O'Sullivan, C., Leite, I., Kopp, S. (eds) Intelligent Virtual Agents. IVA 2017. Lecture Notes in Computer Science(), vol 10498. Springer, Cham. https://doi.org/10.1007/978-3-319-67401-8_30
Download citation
DOI: https://doi.org/10.1007/978-3-319-67401-8_30
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-67400-1
Online ISBN: 978-3-319-67401-8
eBook Packages: Computer ScienceComputer Science (R0)