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Characterizing and Predicting Corrections in Spoken Dialogue Systems

Diane Litman, Julia Hirschberg, Marc Swerts
2006 Computational Linguistics  
This article focuses on the analysis and prediction of corrections, defined as turns where a user tries to correct a prior error made by a spoken dialogue system.  ...  We describe our labeling procedure of various corrections types and statistical analyses of their features in a corpus collected from a train information spoken dialogue system.  ...  In this article, we describe an analysis of user corrections of system error collected in the TOOT spoken dialogue system.  ... 
doi:10.1162/coli.2006.32.3.417 fatcat:2v4u3zld75alvnze754wpj7dhm

Page 417 of Computational Linguistics Vol. 32, Issue 3 [page]

2006 Computational Linguistics  
Characterizing and Predicting Corrections in Spoken Dialogue Systems Diane Litman Julia Hirschberg University of Pittsburgh Columbia University Marc Swerts Tilburg University his article focuses on the  ...  analysis and paroress of corrections, defined as turns where a user tries to correct a prior error made by a spoken dialogue system.  ... 

A Model of Temporally Changing User Behaviors in a Deployed Spoken Dialogue System [chapter]

Kazunori Komatani, Tatsuya Kawahara, Hiroshi G. Okuno
2009 Lecture Notes in Computer Science  
This result showed that modeling temporally changing user behaviors was helpful in improving the performance of spoken dialogue systems.  ...  We empirically investigated how individual users changed their behaviors on the basis of long-term data, which were collected by our telephone-based spoken dialogue system deployed for the open public  ...  A barge-in is a situation in which a user starts speaking during a system prompt and is a characteristic feature of spoken dialogue systems.  ... 
doi:10.1007/978-3-642-02247-0_45 fatcat:ky4l6yo4ivex5hnpq5ztkikamu

DIA-MOLE: An Unsupervised Learning Approach to Adaptive Dialogue Models for Spoken Dialogue Systems

Jens-Uwe Moeller (Natural Language Systems Division, Dept. of Computer Science, Univ. of Hamburg)
1997 arXiv   pre-print
Even though based on a word correctness of about 70% predictability of dialogue acts in DIA-MOLE turns out to be comparable to human-assigned dialogue acts.  ...  dialogue system.  ...  available in a spoken-language system.  ... 
arXiv:cmp-lg/9708009v1 fatcat:zog4bfysyreqnpximemhicboq4

A tutorial on natural-language processing

Gary G. Hendrix, Jaime G. Carbonell
1981 Proceedings of the ACM '81 conference on - ACM 81  
in physics), modality (spoken versus typed), and tutor type (computer versus human).  ...  Our research goal is to investigate whether previous findings and methods in the area of tutorial dialogue can be generalized across dialogue corpora that differ in domain (mechanics versus electricity  ...  Steinhuaser, and C. Callaway for useful conversations.  ... 
doi:10.1145/800175.809820 dblp:conf/acm/HendrixC81 fatcat:xp6gb3z6ofdynd2g53jawz5b5i

Recognizing student emotions and attitudes on the basis of utterances in spoken tutoring dialogues with both human and computer tutors

Diane J. Litman, Kate Forbes-Riley
2006 Speech Communication  
Our results show significant improvements in prediction accuracy over relevant baselines, and provide a first step towards enhancing our intelligent tutoring spoken dialogue system to automatically recognize  ...  We also compare our results across human-human and human-computer spoken tutoring dialogues.  ...  Silliman for system design and data collection. machine learning was motivated by prior work (Litman, 1996) where we showed that machine learning produced better results than a rule-based approach in  ... 
doi:10.1016/j.specom.2005.09.008 fatcat:jxfaurcvvjeqvfjnwqd43krl7m

Detecting problematic turns in human-machine interactions

Antal van den Bosch, Emiel Krahmer, Marc Swerts
2001 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics - ACL '01  
We address the issue of on-line detection of communication problems in spoken dialogue systems.  ...  The results are interesting from a dialogue perspective since they employ features that are present in the majority of spoken dialogue systems and can be obtained with little or no computational overhead  ...  features are available in other spoken dialogue systems.  ... 
doi:10.3115/1073012.1073024 dblp:conf/acl/BoschKS01 fatcat:nsysllanlfbo3g255wjbb6txae

Predicting user mental states in spoken dialogue systems

Zoraida Callejas, David Griol, Ramón López-Cózar
2011 EURASIP Journal on Advances in Signal Processing  
In this paper we propose a method for predicting the user mental state for the development of more efficient and usable spoken dialogue systems.  ...  and the dialogue management in the architecture of the systems.  ...  Acknowledgements This research has been funded by the Spanish Ministry of Science and Innovation, under the project ASIES TIN2010-17344: Adaptation in Smart Environments and Social Networks to Assist People  ... 
doi:10.1186/1687-6180-2011-6 fatcat:3pqgjpypeng5le7u4iyuj6tz6u

Fast Prototyping a Dialogue Comprehension System for Nurse-Patient Conversations on Symptom Monitoring [article]

Zhengyuan Liu, Hazel Lim, Nur Farah Ain Binte Suhaimi, Shao Chuen Tong, Sharon Ong, Angela Ng, Sheldon Lee, Michael R. Macdonald, Savitha Ramasamy, Pavitra Krishnaswamy, Wai Leng Chow, Nancy F. Chen
2019 arXiv   pre-print
Data for human-human spoken dialogues for research and development are currently very limited in quantity, variety, and sources; such data are even scarcer in healthcare.  ...  In this work, we investigate fast prototyping of a dialogue comprehension system by leveraging on minimal nurse-to-patient conversations.  ...  In addition, this work was conducted using resources and infrastructure provided by the Human Language Technology unit at I2R.  ... 
arXiv:1903.03530v2 fatcat:octg5ado65eglmvkkpvsgvwdfu

Fast Prototyping a Dialogue Comprehension System for Nurse-Patient Conversations on Symptom Monitoring

Zhengyuan Liu, Hazel Lim, Nur Farah Ain Suhaimi, Shao Chuen Tong, Sharon Ong, Angela Ng, Sheldon Lee, Michael R. Macdonald, Savitha Ramasamy, Pavitra Krishnaswamy, Wai Leng Chow, Nancy F. Chen
2019 Proceedings of the 2019 Conference of the North  
Data for human-human spoken dialogues for research and development are currently very limited in quantity, variety, and sources; such data are even scarcer in healthcare.  ...  In this work, we investigate fast prototyping of a dialogue comprehension system by leveraging on minimal nurse-to-patient conversations.  ...  In addition, this work was conducted using resources and infrastructure provided by the Human Language Technology unit at I2R.  ... 
doi:10.18653/v1/n19-2004 dblp:conf/naacl/LiuLSTONGMRKCC19 fatcat:v45qthvufjhwpckllqbdiub23e

The SUNDIAL speech understanding and dialogue project: results and implications for translation

Norman M Fraser
1994 ASLIB Proceedings  
processing, speech recognition, parsing, dialogue management, message generation and speech synthesis.  ...  The objective of the project was to design and build telephone access spoken language interfaces to computer databases.  ...  Results Taken together, these metrics characterize the performance of spoken language dialogue systems.  ... 
doi:10.1108/eb051358 fatcat:kzeicl2jw5h2rluknsnm3ju7zu

Modeling Acoustic-Prosodic Cues for Word Importance Prediction in Spoken Dialogues [article]

Sushant Kafle, Cecilia O. Alm, Matt Huenerfauth
2019 arXiv   pre-print
We investigate whether acoustic cues in spoken dialogue can be used to identify the importance of individual words to the meaning of a conversation turn.  ...  We present and evaluate neural architectures that use acoustic features for 3-class word importance prediction.  ...  of importance prediction in spoken dialogue.  ... 
arXiv:1903.12238v2 fatcat:kdc7lk4qfrae5kjiwjyokd5yvy

Prosodic and lexical indications of discourse structure in human-machine interactions

Marc Swerts, Mari Ostendorf
1997 Speech Communication  
Spoken language systems will improve if they adequately take into account both discourse segmentation and utterance purpose.  ...  or part of a correction sub-dialogue.  ...  It was first presented in May-July 1995 at the "ETRW on Spoken Dialogue Systems -Theories and Applications" in Vigso (Denmark).  ... 
doi:10.1016/s0167-6393(97)00011-3 fatcat:zhln2oyouvb2bmd2q5vjqdr5v4

Dependencies between student state and speech recognition problems in spoken tutoring dialogues

Mihai Rotaru, Diane J. Litman
2006 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the ACL - ACL '06  
Speech recognition problems are a reality in current spoken dialogue systems.  ...  , certainty and correctness.  ...  We thank Dan Bohus, Kate Forbes-Riley, Joel Tetreault and our anonymous reviewers for their helpful comments.  ... 
doi:10.3115/1220175.1220200 dblp:conf/acl/RotaruL06 fatcat:nfr4pkwwlvdyvntgzudwnvdcqa

Insights into the Dialogue Processing of VERBMOBIL [article]

Jan Alexandersson, Norbert Reithinger, Elisabeth Maier (DFKI GmbH, Saarbruecken, Germany)
1997 arXiv   pre-print
We present the dialogue module of the speech-to-speech translation system VERBMOBIL.  ...  We show how our solution to dialogue processing works when applied to real data, and give some examples where our module contributes to the correct translation from German to English.  ...  Acknowledgements This work was funded by the German Federal Ministry of Education, Science, Research and Technology (BMBF) in the framework of the Verbmobil Project under Grant 01IV101K/1.  ... 
arXiv:cmp-lg/9703004v1 fatcat:w3tieloelbhfjopiyb3q5cc3vy
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