In this paper, we present a new hierarchical and extensible schema for dialog representation. The schema captures the pragmatic intents of the conversation independently from any semantic representation. This schema was developed to support computational applications, be applicable to different types of dialogs and domains and enable large-scale non-expert annotation. The schema models dialog as a structure of linked units of intent, dialog acts, that are annotated on minimal spans of text, functional segments. Furthermore, we categorise dialog acts based on whether they express a primary or secondary intent and whether the intent is explicit or implicit. We successfully tested the schema on an heterogeneous corpus of human-human dialogs comprising both spoken and chat interactions.
@InProceedings{PARETI18.334, author = {Silvia Pareti and Tatiana Lando}, title = "{Dialog Intent Structure: A Hierarchical Schema of Linked Dialog Acts}", booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)}, year = {2018}, month = {May 7-12, 2018}, address = {Miyazaki, Japan}, editor = {Nicoletta Calzolari (Conference chair) and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Koiti Hasida and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Hélène Mazo and Asuncion Moreno and Jan Odijk and Stelios Piperidis and Takenobu Tokunaga}, publisher = {European Language Resources Association (ELRA)}, isbn = {979-10-95546-00-9}, language = {english} }
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