A Web-Based Self-Learning Grammar for Spoken Language Understanding

Autor: S. M. Biondi, V. Catania, R. Di Natale, A. R. Intilisano, D. Panno
Jazyk: angličtina
Rok vydání: 2014
Předmět:
DOI: 10.5281/zenodo.1096407
Popis: One of the major goals of Spoken Dialog Systems (SDS) is to understand what the user utters. In the SDS domain, the Spoken Language Understanding (SLU) Module classifies user utterances by means of a pre-definite conceptual knowledge. The SLU module is able to recognize only the meaning previously included in its knowledge base. Due the vastity of that knowledge, the information storing is a very expensive process. Updating and managing the knowledge base are time-consuming and error-prone processes because of the rapidly growing number of entities like proper nouns and domain-specific nouns. This paper proposes a solution to the problem of Name Entity Recognition (NER) applied to a SDS domain. The proposed solution attempts to automatically recognize the meaning associated with an utterance by using the PANKOW (Pattern based Annotation through Knowledge On the Web) method at runtime. The method being proposed extracts information from the Web to increase the SLU knowledge module and reduces the development effort. In particular, the Google Search Engine is used to extract information from the Facebook social network.
{"references":["V. Catania, R. Di Natale, A. R. Intilisano, Y. Cilano, D. Panno.\n\"SmartGrammar: A dynamic spoken language understanding grammar\nfor inflective languages\".(In press)","S. M. Biondi, V. Catania, Y. Cilano, R. Di Natale and A.R. Intilisano.\n2014. An Easy and Efficient Grammar Generator for Spoken Language\nUnderstanding, The Sixth International Conference on Creative Content\nTechnologies – Vol. 7 nr 1 and 2, Venice, Italy.","Philipp Cimiano, Siegfried Handschuh, and Steffen Staab. 2004.\nTowards the self-annotating web. In Proceedings of the 13th\ninternational conference on World Wide Web (WWW '04). ACM, New\nYork, NY, USA, 462-471.","Berenike loos. 2006. On2L - A Framework for Incremental Ontology\nLearning in Spoken Dialog Systems. In Proceedings of the\nCOLING/ACL 2006 Student Research Workshop, Sydney, Australia.","Rune Sætre, Amund Tveit, Tonje S. Steigedal, and Astrid Lægreid.\n2005. Semantic annotation of biomedical literature using google.\nIn Proceedings of the 2005 international conference on Computational\nScience and Its Applications - Volume Part III (ICCSA'05), Osvaldo\nGervasi, Marina L. Gavrilova, Vipin Kumar, Antonio Laganà, and Heow\nPueh Lee (Eds.), Vol. Part III. Springer-Verlag, Berlin, Heidelberg, 327-\n337.","Marti A. Hearst. 1992. Automatic acquisition of hyponyms from large\ntext corpora. In Proceedings of the 14th conference on Computational\nlinguistics - Volume 2 (COLING '92), Vol. 2. Association for\nComputational Linguistics, Stroudsburg, PA, USA, 539-545.","Dan Bohus, Alexander I. Rudnicky, \"The RavenClaw dialog\nmanagement framework: Architecture and systems\", _Computer Speech\nand Language, _vol. 23, no. 3, 2009","Bohus, A. Raux, T. K. Harris, M. Eskenazi, and A. I. Rudnicky,\n\"Olympus: an open-source framework for conversational spoken\nlanguage interface research,\" in proceedings of HLT-NAACL 2007\nworkshop on Bridging the Gap: Academic and Industrial Research in\nDialog Technology, 2007.","W. Ward, \"Understanding spontaneous speech: the Phoenix system,\"\nAcoustics, Speech, and Signal Processing, 1991. ICASSP- 91, 1991\nInternational Conference on, 14-17 Apr 1991, pp.365-367 vol.1"]}
Databáze: OpenAIRE
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