國立高雄大學圖資館 |

Intent recognition for human-machine interactions

Record Type:	Electronic resources : Monograph/item
Title/Author:	Intent recognition for human-machine interactionsby Hua Xu, Hanlei Zhang, Ting-En Lin.
Author:	Xu, Hua.
other author:	Zhang, Hanlei.
Published:	Singapore :Springer Nature Singapore :2023.
Description:	xviii, 152 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Human-computer interaction.
Online resource:	https://doi.org/10.1007/978-981-99-3885-8
ISBN:	9789819938858$q(electronic bk.)

Intent recognition for human-machine interactions
Xu, Hua.

Intent recognition for human-machine interactions[electronic resource] /by Hua Xu, Hanlei Zhang, Ting-En Lin. - Singapore :Springer Nature Singapore :2023. - xviii, 152 p. :ill., digital ;24 cm. - SpringerBriefs in computer science,2191-5776. - SpringerBriefs in computer science..

Part I: Overview -- Chapter 1. Dialogue System -- Chapter 2. Intent Recognition -- Part II: Intent Classification -- Chapter 3. Intent Classification Based on Single Model -- Chapter 4. A Dual RNN Semantic Analysis Framework for Intent Classification and Slot -- Part III: Unknown Intent Detection -- Chapter 5. Unknown Intent Detection Method Based on Model Post-processing -- Chapter 6. Unknown Intent Detection Based on Large-Margin Cosine Loss -- Chapter 7. Unknown Intention Detection Method based on Dynamic Constraint Boundary -- Part IV: Discovery of Unknown Intents -- Chapter 8. Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement -- Chapter 9. Discovering New Intents with Deep Aligned Clustering -- Part V: Dialogue Intent Recognition Platform -- Chapter 10. Experiment Platform for Dialogue Intent Recognition based on Deep Learning -- Part VI: Summary and Future Work -- Chapter 11. Summary -- Appendix.

Natural interaction is one of the hottest research issues in human-computer interaction. At present, there is an urgent need for intelligent devices (service robots, virtual humans, etc.) to be able to understand intentions in an interactive dialogue. Focusing on human-computer understanding based on deep learning methods, the book systematically introduces readers to intention recognition, unknown intention detection, and new intention discovery in human-computer dialogue. This book is the first to present interactive dialogue intention analysis in the context of natural interaction. In addition to helping readers master the key technologies and concepts of human-machine dialogue intention analysis and catch up on the latest advances, it includes valuable references for further research.

ISBN: 9789819938858$q(electronic bk.)

Standard No.: 10.1007/978-981-99-3885-8doiSubjects--Topical Terms:

189333
Human-computer interaction.

LC Class. No.: QA76.9.U83

Dewey Class. No.: 004.019

Intent recognition for human-machine interactions
LDR:02803nmm a2200337 a 4500 001 647452
003 DE-He213
005 20230829041630.0
006 m d
007 cr nn 008maaau
008 240116s2023 si s 0 eng d
020 $a 9789819938858$q(electronic bk.)
020 $a 9789819938841$q(paper)
024 7 $a 10.1007/978-981-99-3885-8 $2 doi
035 $a 978-981-99-3885-8
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.U83
072 7 $a UYZ $2 bicssc
072 7 $a COM070000 $2 bisacsh
072 7 $a UYZ $2 thema
082 0 4 $a 004.019 $2 23
090 $a QA76.9.U83 $b X8 2023
100 1 $a Xu, Hua. $3 956838
245 1 0 $a Intent recognition for human-machine interactions $h [electronic resource] / $c by Hua Xu, Hanlei Zhang, Ting-En Lin.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2023.
300 $a xviii, 152 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in computer science, $x 2191-5776
505 0 $a Part I: Overview -- Chapter 1. Dialogue System -- Chapter 2. Intent Recognition -- Part II: Intent Classification -- Chapter 3. Intent Classification Based on Single Model -- Chapter 4. A Dual RNN Semantic Analysis Framework for Intent Classification and Slot -- Part III: Unknown Intent Detection -- Chapter 5. Unknown Intent Detection Method Based on Model Post-processing -- Chapter 6. Unknown Intent Detection Based on Large-Margin Cosine Loss -- Chapter 7. Unknown Intention Detection Method based on Dynamic Constraint Boundary -- Part IV: Discovery of Unknown Intents -- Chapter 8. Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement -- Chapter 9. Discovering New Intents with Deep Aligned Clustering -- Part V: Dialogue Intent Recognition Platform -- Chapter 10. Experiment Platform for Dialogue Intent Recognition based on Deep Learning -- Part VI: Summary and Future Work -- Chapter 11. Summary -- Appendix.
520 $a Natural interaction is one of the hottest research issues in human-computer interaction. At present, there is an urgent need for intelligent devices (service robots, virtual humans, etc.) to be able to understand intentions in an interactive dialogue. Focusing on human-computer understanding based on deep learning methods, the book systematically introduces readers to intention recognition, unknown intention detection, and new intention discovery in human-computer dialogue. This book is the first to present interactive dialogue intention analysis in the context of natural interaction. In addition to helping readers master the key technologies and concepts of human-machine dialogue intention analysis and catch up on the latest advances, it includes valuable references for further research.
650 0 $a Human-computer interaction. $3 189333
650 0 $a User interfaces (Computer systems) $3 189334
650 0 $a Intention (Logic) $3 760603
650 1 4 $a User Interfaces and Human Computer Interaction. $3 274517
650 2 4 $a Data Mining and Knowledge Discovery. $3 275288
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Robotics. $3 181952
700 1 $a Zhang, Hanlei. $3 956839
700 1 $a Lin, Ting-En. $3 956840
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a SpringerBriefs in computer science. $3 559641
856 4 0 $u https://doi.org/10.1007/978-981-99-3885-8
950 $a Computer Science (SpringerNature-11645)