This paper describes a method to create dialogue corpora annotated with interoperable semantic information. The corpus development is performed following the ISO linguistic annotation framework and primary data encoding initiatives. The Continuous Dialogue Corpus Creation (D3C) methodology is proposed, where a corpus is used as a shared repository for analysis and modelling of interactive dialogue behaviour, and for implementation, integration and evaluation of dialogue system components. All these activities are supported by the use of ISO standard data models including annotation schemes, encoding formats, tools, and architectures. Standards also facilitate practical work in dialogue system implementation, deployment, evaluation and re-training, and enabling automatic generation of adequate system behaviour from the data. The proposed methodology is applied to the data-driven design of two multimodal interactive applications - the Virtual Negotiation Coach, used for the training of metacognitive skills in a multi-issue bargaining setting, and the Virtual Debate Coach, used for the training of debate skills in political contexts.
@InProceedings{MALCHANAU18.188, author = {Andrei Malchanau and Volha Petukhova and Harry Bunt}, title = "{Towards Continuous Dialogue Corpus Creation: writing to corpus and generating from it}", 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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