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Contrasting the interaction structure of an email and a telephone corpus
2009
Proceedings of the SIGDIAL 2009 Conference on The 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue - SIGDIAL '09
unpublished
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We present a dialogue annotation scheme for both spoken and written interaction, and use it in a telephone transaction corpus and an email corpus. ...
We train classifiers, comparing regular SVM and structured SVM against a heuristic baseline. We provide a novel application of structured SVM to predicting relations between instance pairs. ...
We then use three algorithms, two of which use machine learning (including a novel approach to using Structured SVM), to predict labels and links (a generalization of adjacency pairs) on unseen data. ...
doi:10.3115/1708376.1708429
fatcat:pgvxnjmegrdcbjccrglk63ck5i
Schemas and the frequency/acceptability mismatch: Corpus distribution predicts sentence judgments
2020
Cognitive Linguistics
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While a formal model makes no prediction with regard to gradient acceptability of bare ("grammatical") go/come-v, the usage-based view assumes that acceptability is a function of compatibility with an ...
AbstractA tight connection between competence and performance is a central tenet of the usage-based model. ...
He uses this approach to model the frequency distribution of a set of morphological forms in a corpus. ...
doi:10.1515/cog-2020-2040
fatcat:mn2ygrvqijbkzmedmf7565aoya
Human/Human Conversation Understanding
[chapter]
2011
Spoken Language Understanding
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We also try to point the bridge studies using human/human conversations for building better human/machine conversational systems or using the approaches for human/machine understanding for better human ...
The AMI (Augmented Multi-party Interaction) Consortium (AMI n.d.) and DARPAfunded CALO (Cognitive Assistant that Learns and Organizes) (DARPA Cognitive Agent that Learns and Organizes (CALO) Project n.d ...
This corpus has first been designed to complement the TIMIT corpus (Zue et al. 1990) , which was read speech, and the ATIS corpus (Price 1990) , which was human/machine interactions. ...
doi:10.1002/9781119992691.ch9
fatcat:2quzefll5re2lp2ytbasw6nthu
Influence of contextual information in emotion annotation for spoken dialogue systems
2008
Speech Communication
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We have carried out experiments with a corpus extracted from real human interactions with a spoken dialogue system. ...
Results show that the performance of non-expert human annotators and machine-learned classifications are both affected by contextual information. ...
Acknowledgements The authors would like to thank the reviewers for their knowledgeable comments and helpful suggestions to improve this paper. ...
doi:10.1016/j.specom.2008.01.001
fatcat:3jpm2avtejfltelqj5sjjb2fkq
Automatic analysis of multiparty meetings
2011
Sadhana (Bangalore)
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We discuss the capture and annotation of the AMI meeting corpus, the development of a meeting speech recognition system, and systems for the automatic segmentation, summarisation and social processing ...
This is a challenging task since the meetings consist of spontaneous and conversational interactions between a number of participants: it is a multimodal, multiparty, multistream problem. ...
The corpus has been heavily annotated by hand, primarily to provide ground truth for machine learning. ...
doi:10.1007/s12046-011-0051-3
fatcat:mdhaduibcnck3b3yi763snppdm
Interaction Mining: The New Frontier of Customer Interaction Analytics
[chapter]
2013
Studies in Computational Intelligence
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and key performance indicators (KPIs) beyond the standard approach. ...
In this paper, we present our solution for pragmatic analysis of call center conversations in order to provide useful insights for enhancing Call Center Analytics to a level that will enable new metrics ...
These interactions can happen over multiple different channels including telephone, instant messaging, email, web forms, etc. ...
doi:10.1007/978-3-642-31546-6_6
fatcat:yqdiy52bfzd2flaqvyrpocht6e
Survey on Evaluation Methods for Dialogue Systems
[article]
2019
arXiv
pre-print
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2020 accepted arXiv:1905.04071v2 fatcat:ddvauhxccjgkxfmkt7xthwbcei
In this paper we survey the methods and concepts developed for the evaluation of dialogue systems. Evaluation is a crucial part during the development process. ...
Often, dialogue systems are evaluated by means of human evaluations and questionnaires. However, this tends to be very cost and time intensive. ...
We would also like to thank our anonymous reviewers for their valuable reviews that helped improve the quality of this survey. ...
arXiv:1905.04071v1
fatcat:kyeepr7zpzgivhqdkjzfpskv3i
Discovering habits of effective online support group chatrooms
2012
Proceedings of the 17th ACM international conference on Supporting group work - GROUP '12
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Through machine learning analysis of these annotations, we demonstrate that while sentiment predicts a user's stress at the beginning of a chat, dynamic views of efficacy are stronger indicators of stress ...
Typically, demonstrating such claims about social interaction would be approached through the lens of sentiment analysis. ...
Acknowledgements The research reported here was supported by National Science Foundation grant IIS-0968485. ...
doi:10.1145/2389176.2389216
dblp:conf/group/MayfieldWGR12
fatcat:gx3izvb5yfhndbd4mngvm7dgee
Conclusion and Perspectives
[chapter]
2014
Multimodal Interactive Systems Management
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The authors and publishers express their thanks to the Ecole polytechnique fédérale de Lausanne (EPFL) for its generous support towards the publication of this book.
List of contributors ...
The AMI Meeting Corpus: A pre-announcement. In Proceedings of the 2nd International Workshop on Machine Learning for Multimodal Interaction(MLMI 2005), pages 28-39, Edinburgh, UK. ...
methods, i.e. by learning the correspondences between features of an input signal and the desired annotation. ...
doi:10.1201/b15535-30
fatcat:pizevl5wrzbinctnvshmftmpiq
Interactive Multimodal Information Management
[chapter]
2014
Multimodal Interactive Systems Management
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Thanks to research in the past decade, a convincing case has been made for the capability of information and communication technology to do justice to one of the richest aspects of human communication: ...
This book is an attempt to answer the questions: what is required from computer hardware and software to support such activities? ...
Acknowledgments The contributors to this book are members of the IM2 NCCR. Unless otherwise stated, the research work described in this book was funded by the ...
doi:10.1201/b15535-2
fatcat:fsjlqstpfze2xng2o7e6ey6zya
Recognition of Dialogue Acts in Multiparty Meetings Using a Switching DBN
2008
IEEE Transactions on Audio, Speech, and Language Processing
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We have carried out experiments on the AMI corpus of multimodal meeting recordings, using both manually transcribed speech, and the output of an automatic speech recogniser, and using different configurations ...
This generative approach models a set of features, related to lexical content and prosody, and incorporates a weighted interpolated factored language model. ...
DA labels may incorporate syntactic, semantic and pragmatic factors: in addition to providing information about the structure of a dialogue and the course of a conversation, DAs are also able to capture ...
doi:10.1109/tasl.2008.922463
fatcat:smulxi22x5hbjjlpk3i4clgede
Multiparticipant chat analysis: A survey
2013
Artificial Intelligence
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the data needed, and completing and reviewing the collection of information. ...
Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to a penalty for failing to comply with a collection of information if it does not display a currently ...
The views and opinions contained in this paper are those of the authors and should not be interpreted as representing the official views or policies, either expressed or implied, of NRL or the DoD. ...
doi:10.1016/j.artint.2013.02.004
fatcat:lie3tzwvdnezjpcpny4xd52jrm
Automatic Speech Summarisation: A Scoping Review
[article]
2020
arXiv
pre-print
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We reviewed a total of 110 papers out of a set of 153 found through a literature search and extracted speech features used, methods, scope, and training corpora. ...
We also discuss the strengths and weaknesses of these different methods and speech features. Overall, supervised methods (e.g. ...
Another approach relied on discourse relations, in order to learn a general semantic structure and link the turns in a conversation [21] . ...
arXiv:2008.11897v1
fatcat:yer4tskqt5bbpk3kyvcvnlenbq
Thai speech processing technology: A review
2007
Speech Communication
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This paper presents a comprehensive review of Thai speech technology, from its impetus in the early 1960s to 2005. ...
It has a spelling system using a Thai alphabet, but has no explicit word boundaries, similar to several Asian languages, such as Japanese and Chinese. ...
The authors would also like to express thanks to anonymous reviewers for their constructive suggestions and comments on the first version of the manuscript. ...
doi:10.1016/j.specom.2006.10.004
fatcat:w6ruekbjtzazxaqs5d2xcqvr2q
A Dual-Attention Hierarchical Recurrent Neural Network for Dialogue Act Classification
[article]
2019
arXiv
pre-print
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Experimental results show that by modelling topic as an auxiliary task, our model can significantly improve DA classification, yielding better or comparable performance to the state-of-the-art method on ...
With a novel dual task-specific attention mechanism, our model is able, for utterances, to capture information about both DAs and topics, as well as information about the interactions between them. ...
Acknowledgment This work is supported by the award made by the UK Engineering and Physical Sciences Research Council (Grant number: EP/P011829/1). ...
arXiv:1810.09154v3
fatcat:6c7fdlmocfa7bclvibly7mrbom
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