Spoken language understanding : (Record no. 75020)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 07334nam a2200553 i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 8042134 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220712211818.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 171024s2015 maua ob 001 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781119992691 |
| -- | electronic |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| -- | hardback |
| 082 00 - CLASSIFICATION NUMBER | |
| Call Number | 006.4/54 |
| 245 00 - TITLE STATEMENT | |
| Title | Spoken language understanding : |
| Sub Title | systems for extracting semantic information from speech / |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 1 PDF (xxx, 450 pages:) : |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | List of Contributors -- Forward -- Preface -- 1 Introduction (Gokhan Tur and Renato De Mori) -- 1.1 A Brief History of Spoken Language Understanding -- 1.2 Organization of the Book -- PART 1 SPOKEN LANGUAGE UNDERSTANDING FOR HUMAN/MACHINE INTERACTIONS -- 2 History of Knowledge and Processes for Spoken Language Understanding (Renato De Mori) -- 2.1 Introduction -- 2.2 Meaning Representation and Sentence Interpretation -- 2.3 Knowledge Fragments and Semantic Composition -- 2.4 Probabilistic Interpretation in SLU Systems -- 2.5 Interpretation with Partial Syntactic Analysis -- 2.6 Classification Models for Interpretation -- 2.7 Advanced Methods and Resources for Semantic Modeling and Interpretation -- 2.8 Recent Systems -- 2.9 Conclusions -- References -- 3 Semantic Frame-based Spoken Language Understanding (Ye-Yi Wang, Li Deng and Alex Acero) -- 3.1 Background -- 3.2 Knowledge-based Solutions -- 3.3 Data-driven Approaches -- 3.4 Summary -- References -- 4 Intent Determination and Spoken Utterance Classification (Gokhan Tur and Li Deng) -- 4.1 Background -- 4.2 Task Description -- 4.3 Technical Challenges -- 4.4 Benchmark Data Sets -- 4.5 Evaluation Metrics -- 4.6 Technical Approaches -- 4.7 Discussion and Conclusions -- References -- 5 Voice Search (Ye-Yi Wang, Dong Yu, Yun-Cheng Ju and Alex Acero) -- 5.1 Background -- 5.2 Technology Review -- 5.3 Summary -- References -- 6 Spoken Question Answering (Sophie Rosset, Olivier Galibert and Lori Lamel) -- 6.1 Introduction -- 6.2 Specific Aspects of Handling Speech in QA Systems -- 6.3 QA Evaluation Campaigns -- 6.4 Question-answering Systems -- 6.5 Projects Integrating Spoken Requests and Question Answering -- 6.6 Conclusions -- References -- 7 SLU in Commercial and Research Spoken Dialogue Systems (David Suendermann and Roberto Pieraccini) -- 7.1 Why Spoken Dialogue Systems (Do Not) Have to Understand -- 7.2 Approaches to SLU for Dialogue Systems -- 7.3 From Call Flow to POMDP: How Dialogue Management Integrates with SLU. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Remark 2 | 7.4 Benchmark Projects and Data Sets -- 7.5 Time is Money: The Relationship between SLU and Overall Dialogue System Performance -- 7.6 Conclusion -- References -- 8 Active Learning (Dilek Hakkani-T�ur and Giuseppe Riccardi) -- 8.1 Introduction -- 8.2 Motivation -- 8.3 Learning Architectures -- 8.4 Active Learning Methods -- 8.5 Combining Active Learning with Semi-supervised Learning -- 8.6 Applications -- 8.7 Evaluation of Active Learning Methods -- 8.8 Discussion and Conclusions -- References -- PART 2 SPOKEN LANGUAGE UNDERSTANDING FOR HUMAN/HUMAN CONVERSATIONS -- 9 Human/Human Conversation Understanding (Gokhan Tur and Dilek Hakkani-T�ur) -- 9.1 Background -- 9.2 Human/Human Conversation Understanding Tasks -- 9.3 Dialogue Act Segmentation and Tagging -- 9.4 Action Item and Decision Detection -- 9.5 Addressee Detection and Co-reference Resolution -- 9.6 Hot Spot Detection -- 9.7 Subjectivity, Sentiment, and Opinion Detection -- 9.8 Speaker Role Detection -- 9.9 Modeling Dominance -- 9.10 Argument Diagramming -- 9.11 Discussion and Conclusions -- References -- 10 Named Entity Recognition (Fr�d�ric B�chet) -- 10.1 Task Description -- 10.2 Challenges Using Speech Input -- 10.3 Benchmark Data Sets, Applications -- 10.4 Evaluation Metrics -- 10.5 Main Approaches for Extracting NEs from Text -- 10.6 Comparative Methods for NER from Speech -- 10.7 New Trends in NER from Speech -- 10.8 Conclusions -- References -- 11 Topic Segmentation (Matthew Purver) -- 11.1 Task Description -- 11.2 Basic Approaches, and the Challenge of Speech -- 11.3 Applications and Benchmark Datasets -- 11.4 Evaluation Metrics -- 11.5 Technical Approaches -- 11.6 New Trends and Future Directions -- References -- 12 Topic Identification (Timothy J. Hazen) -- 12.1 Task Description -- 12.2 Challenges Using Speech Input -- 12.3 Applications and Benchmark Tasks -- 12.4 Evaluation Metrics -- 12.5 Technical Approaches -- 12.6 New Trends and Future Directions -- References -- 13 Speech Summarization (Yang Liu and Dilek Hakkani-T�ur). |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Remark 2 | 13.1 Task Description -- 13.2 Challenges when Using Speech Input -- 13.3 Data Sets -- 13.4 Evaluation Metrics -- 13.5 General Approaches -- 13.6 More Discussions on Speech versus Text Summarization -- 13.7 Conclusions -- References -- 14 Speech Analytics (I. Dan Melamed and Mazin Gilbert) -- 14.1 Introduction -- 14.2 System Architecture -- 14.3 Speech Transcription -- 14.4 Text Feature Extraction -- 14.5 Acoustic Feature Extraction -- 14.6 Relational Feature Extraction -- 14.7 DBMS -- 14.8 Media Server and Player -- 14.9 Trend Analysis -- 14.10 Alerting System -- 14.11 Conclusion -- References -- 15 Speech Retrieval (Ciprian Chelba, Timothy J. Hazen, Bhuvana Ramabhadran and Murat Saradclar) -- 15.1 Task Description -- 15.2 Applications -- 15.3 Challenges Using Speech Input -- 15.4 Evaluation Metrics -- 15.5 Benchmark Data Sets -- 15.6 Approaches -- 15.7 New Trends -- 15.8 Discussion and Conclusions -- References -- Index. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | "This book is the first to focus exclusively on this growing topic. It begins with basic coverage of typical approaches used in SLU, such as favourite classification methods and modeling techniques, and discussion of the terminology used. It then provides state of the art approaches for the application of SLU in both human/human communication, and spoken dialog systems"-- |
| 700 1# - AUTHOR 2 | |
| Author 2 | Tur, Gokhan. |
| 700 1# - AUTHOR 2 | |
| Author 2 | De Mori, Renato. |
| 856 42 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=8042134 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Hoboken, New Jersey : |
| -- | Wiley, |
| -- | 2011. |
| 264 #2 - | |
| -- | [Piscataqay, New Jersey] : |
| -- | IEEE Xplore, |
| -- | [2011] |
| 336 ## - | |
| -- | text |
| -- | rdacontent |
| 337 ## - | |
| -- | electronic |
| -- | isbdmedia |
| 338 ## - | |
| -- | online resource |
| -- | rdacarrier |
| 520 ## - SUMMARY, ETC. | |
| -- | Provided by publisher. |
| 588 ## - | |
| -- | Description based on PDF viewed 10/24/2017. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Speech processing systems. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Semantics. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Discourse analysis. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Corpora (Linguistics) |
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