tailieunhanh - Báo cáo khoa học: "A Joint Model for Discovery of Aspects in Utterances"

We describe a joint model for understanding user actions in natural language utterances. Our multi-layer generative approach uses both labeled and unlabeled utterances to jointly learn aspects regarding utterance’s target domain (. movies), intention (., finding a movie) along with other semantic units (., movie name). We inject information extracted from unstructured web search query logs as prior information to enhance the generative process of the natural language utterance understanding model | A Joint Model for Discovery of Aspects in Utterances Asli Celikyilmaz Microsoft Mountain View CA USA asli@ Dilek Hakkani-Tur Microsoft Mountain View CA USA dilek@ Abstract We describe a joint model for understanding user actions in natural language utterances. Our multi-layer generative approach uses both labeled and unlabeled utterances to jointly learn aspects regarding utterance s target domain . movies intention . finding a movie along with other semantic units . movie name . We inject information extracted from unstructured web search query logs as prior information to enhance the generative process of the natural language utterance understanding model. Using utterances from five domains our approach shows up to improvement on domain and dialog act performance over cascaded approach in which each semantic component is learned sequentially and a supervised joint learning model which requires fully labeled data . 1 Introduction Virtual personal assistance VPA is a human to machine dialog system which is designed to perform tasks such as making reservations at restaurants checking flight statuses or planning weekend activities. A typical spoken language understanding SLU module of a VPA Bangalore 2006 Tur and Mori 2011 defines a structured representation for utterances in which the constituents correspond to meaning representations in terms of slot value pairs see Table 1 . While target domain corresponds to the context of an utterance in a dialog the dialog act represents overall intent of an utterance. The slots are entities which are semantic constituents at the word or phrase level. Learning each component Sample utterances on plan a night out scenario I Show me theaters in Austin playing iron man 2 . II I m in the mood for indian food tonight show me the ones within 5 miles that have patios . Extracted Class and Labels Domain Dialog Act Slots Values I Movie find theater Location Austin Movie-Name iron man 2 II Restaurant find .