Download Spoken Language Understanding: Systems for Extracting by Gokhan Tur, Renato De Mori PDF

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By Gokhan Tur, Renato De Mori

Spoken language knowing (SLU) is an rising box in among speech and language processing, investigating human/ desktop and human/ human communique through leveraging applied sciences from sign processing, development reputation, desktop studying and synthetic intelligence. SLU platforms are designed to extract the that means from speech utterances and its purposes are titanic, from voice seek in cellular units to assembly summarization, attracting curiosity from either advertisement and educational sectors.

either human/machine and human/human communications can enjoy the program of SLU, utilizing differing initiatives and ways to higher comprehend and make the most of such communications. This e-book covers the state of the art techniques for the most well-liked SLU projects with chapters written by way of recognized researchers within the respective fields. Key positive aspects contain:

  • Presents a completely built-in view of the 2 distinctive disciplines of speech processing and language processing for SLU projects.
  • Defines what's attainable this present day for SLU as an allowing know-how for company (e.g., purchaser care facilities or corporation meetings), and client (e.g., leisure, cellular, motor vehicle, robotic, or clever environments) functions and descriptions the most important learn components.
  • Provides a distinct resource of distilled details on equipment for computing device modeling of semantic details in human/machine and human/human conversations.

This e-book should be effectively used for graduate classes in electronics engineering, laptop technology or computational linguistics. additionally, technologists attracted to processing spoken communications will locate it an invaluable resource of collated info of the subject drawn from the 2 specific disciplines of speech processing and language processing below the recent zone of SLU.Content:
Chapter 1 creation (pages 1–7): Gokhan Tur and Renato De Mori
Chapter 2 historical past of data and strategies for Spoken Language realizing (pages 9–40): Renato De Mori
Chapter three Semantic Frame?Based Spoken Language figuring out (pages 41–91): Ye?Yi Wang, Li Deng and Alex Acero
Chapter four purpose choice and Spoken Utterance category (pages 93–118): Gokhan Tur and Li Deng
Chapter five Voice seek (pages 119–146): Ye?Yi Wang, Dong Yu, Yun?Cheng Ju and Alex Acero
Chapter 6 Spoken query Answering (pages 147–170): Sophie Rosset, Olivier Galibert and Lori Lamel
Chapter 7 SLU in advertisement and learn Spoken discussion structures (pages 171–194): David Suendermann and Roberto Pieraccini
Chapter eight lively studying (pages 195–224): Dilek Hakkani?Tur and Giuseppe Riccardi
Chapter nine Human/Human dialog figuring out (pages 225–255): Gokhan Tur and Dilek Hakkani?Tur
Chapter 10 Named Entity popularity (pages 257–290): Frederic Bechet
Chapter eleven subject Segmentation (pages 291–317): Matthew Purver
Chapter 12 subject identity (pages 319–356): Timothy J. Hazen
Chapter thirteen Speech Summarization (pages 357–396): Yang Liu and Dilek Hakkani?Tur
Chapter 14 Speech Analytics (pages 397–416): I. Dan Melamed and Mazin Gilbert
Chapter 15 Speech Retrieval (pages 417–446): Ciprian Chelba, Timothy J. Hazen, Bhuvana Ramabhadran and Murat Saraclar

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Extra info for Spoken Language Understanding: Systems for Extracting Semantic Information from Speech

Sample text

Other approaches for sentence interpretation have been proposed. In general, interpretation can be driven by syntactic parsing or by other strategies in which syntactic analysis and semantic composition are interleaved. Furthermore, syntactic analysis can be based on full or partial parsing. Early approaches will be mentioned in the following of this section, while other, more recent approaches will be described in successive sections. Semantics may drive the parser (Tait, 1985), causing it to make attachments in the syntactic parse tree to resolve ambiguities.

A case is a particular role that a noun phrase or other syntactic structures take in the state or activity expressed by the verb. There is a case structure for each main verb. Examples of cases for a verb are Agent(A), Object(O), Location(L). ] ... ] } A frame is associated with a verb in a specific sentence as in the following example: {V003 instance_of REQUEST subject user theme service_004 ... ] } In Lowe et al. (1997), a lexical semantic KB is described based on annotations performed in the FrameNet project.

Semantic analysis of a computer program is based on formal methods and is performed for understanding the behavior of a program and its coherence with the design concepts and goals. The use of formal logic methods for computer semantics has also been considered for the automatic interpretation of natural language with the purpose of finding MRL descriptions coherent with the syntactic structure of theit expression in natural language. Even if some utterances convey meanings that cannot be expressed in formal logics (Jackendoff, 2002), p.

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