Abstract
The paper describes the architecture of the prototype of the spoken dialogue system combining deep natural language processing with an information state dialogue manager. The system assists technical support to the customers of the digital TV provider. Raw data are sent to the natural language processing engine which performs tokenization, morphological and syntactic analysis and anaphora resolution. Multimodal Interface Language (MMIL) is used for the sentence semantic representation. A separate module of the NLP engine converts Shallow MMIL representation into Deep MMIL representation by applying transformation rules to shallow syntactic structures and generating its paraphrases. Deep MMIL representation is the input of the module generating facts for the dialogue manager. Facts are extracted using the domain ontology. A fact itself is an RDF triple containing temporal information wrapped in the move type. Dialogue manager can accept unlimited number of facts and supports mixed initiative.
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References
Görz, G., Bücher, K., Ludwig, B., Schweinberger, F., Thabet, I.: Combining a lexical taxonomy with domain ontology in the erlangen dialogue system. In: Proceedings of the KI2003 Workshop on Reference Ontologies and Application Ontologies, Hamburg, Germany, September 16, 2003 (2003)
Maema, M.: OVR: A Novel Architecture for Voice-Based Applications. In: Thesis submitted for Master of Science (2011)
Boyarsky, K., Kanevsky, E.: The semantic-and-syntactic parser SEMSIN. In: International Conference on Computational Linguistics Dialog-2012 (2012)
Tuzov, V.: Semantic dictionary of the Russian language. http://emi.nw.ru/INDEX.html?0/Voc.html
Rojas-Barahona, L.M., Bazillon, T., Quignard, M., Lefevre, F.: Using MMIL for the high level semantic annotation of the french media dialogue corpus. In: Proceedings of the Ninth International Conference on Computational Semantics, pp. 375–379. Association for Computational Linguistics (2011)
Bondarko, A.V.: Functional grammar: a field approach, vol. 35. John Benjamins Publishing (1991)
Ebert, C., Lappin, S., Gregory, H., Nicolov, N.: Generating full paraphrases of fragments in a dialogue interpretation system. In: Proceedings of the Second SIGdial Workshop on Discourse and Dialogue, vol. 16, pp. 1–10. Association for Computational Linguistics (2001)
Gardent, C., Rojas-Barahona, L.M.: Using paraphrases and lexical semantics to improve the accuracy and the robustness of supervised models in situated dialogue systems. In: Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, EMNLP Seattle, Seattle, Washington, USA, pp. 808–813 (2013)
Metzler, D., Hovy, E., Zhang, C.: An empirical evaluation of data-driven paraphrase generation techniques. In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers, vol. 2, pp. 546–551. Association for Computational Linguistics (2011)
Apresyan, Y., Zinman, L.: Perifrazirovanie na kompjutere. Vsesojuznij institut naucnoj b techniceskoj informacii 36, 177 (1998). (in Russian)
Melcuk, I.: Collocations and lexical functions, vol. 31, pp. 23–53. Clarendon Press, Oxford (1998)
Apresyan, Y.: Lexicheskaya semantika: Sinonimiceskije sredstva jazika. Nauka, 367 (1974) (in Russian)
Mouromtsev, D., Kozlov, F., Kovriguina, L., Parkhimovich, O.: A combined method for e-learning ontology population based on nlp and user activity analysis, vol. 1254. CEUR-WS (2014)
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Mouromtsev, D., Kovriguina, L., Emelyanov, Y., Pavlov, D., Shipilo, A. (2015). From Spoken Language to Ontology-Driven Dialogue Management. In: Král, P., Matoušek, V. (eds) Text, Speech, and Dialogue. TSD 2015. Lecture Notes in Computer Science(), vol 9302. Springer, Cham. https://doi.org/10.1007/978-3-319-24033-6_61
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DOI: https://doi.org/10.1007/978-3-319-24033-6_61
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