Emer Gilmartin


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An Empirical Study of Topic Transition in Dialogue
Mayank Soni | Brendan Spillane | Leo Muckley | Orla Cooney | Emer Gilmartin | Christian Saam | Benjamin Cowan | Vincent Wade
Proceedings of the 3rd Workshop on Computational Approaches to Discourse

Although topic transition has been studied in dialogue for decades, only a handful of corpora based quantitative studies have been conducted to investigate the nature of topic transitions. Towards this end, this study annotates 215 conversations from the switchboard corpus, perform quantitative analysis and finds that 1) longer conversations consists of more topic transitions, 2) topic transition are usually lead by one participant and 3) we found no pattern in time series progression of topic transition. We also model topic transition with a precision of 91%.


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The ISO Standard for Dialogue Act Annotation, Second Edition
Harry Bunt | Volha Petukhova | Emer Gilmartin | Catherine Pelachaud | Alex Fang | Simon Keizer | Laurent Prévot
Proceedings of the Twelfth Language Resources and Evaluation Conference

ISO standard 24617-2 for dialogue act annotation, established in 2012, has in the past few years been used both in corpus annotation and in the design of components for spoken and multimodal dialogue systems. This has brought some inaccuracies and undesirbale limitations of the standard to light, which are addressed in a proposed second edition. This second edition allows a more accurate annotation of dependence relations and rhetorical relations in dialogue. Following the ISO 24617-4 principles of semantic annotation, and borrowing ideas from EmotionML, a triple-layered plug-in mechanism is introduced which allows dialogue act descriptions to be enriched with information about their semantic content, about accompanying emotions, and other information, and allows the annotation scheme to be customised by adding application-specific dialogue act types.


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Downward Compatible Revision of Dialogue Annotation
Harry Bunt | Emer Gilmartin | Simon Keizer | Catherine Pelachaud | Volha Petukhova | Laurent Prévot | Mariët Theune
Proceedings of the 14th Joint ACL-ISO Workshop on Interoperable Semantic Annotation

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Chat,Chunk and Topic in Casual Conversation
Emer Gilmartin | Carl Vogel
Proceedings of the 14th Joint ACL-ISO Workshop on Interoperable Semantic Annotation

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Just Talking - Modelling Casual Conversation
Emer Gilmartin | Christian Saam | Carl Vogel | Nick Campbell | Vincent Wade
Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue

Casual conversation has become a focus for artificial dialogue applications. Such talk is ubiquitous and its structure differs from that found in the task-based interactions which have been the focus of dialogue system design for many years. It is unlikely that such conversations can be modelled as an extension of task-based talk. We review theories of casual conversation, report on our studies of the structure of casual dialogue, and outline challenges we see for the development of spoken dialog systems capable of carrying on casual friendly conversation in addition to performing well-defined tasks.

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Chats and Chunks: Annotation and Analysis of Multiparty Long Casual Conversations
Emer Gilmartin | Carl Vogel | Nick Campbell
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

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The ADELE Corpus of Dyadic Social Text Conversations:Dialog Act Annotation with ISO 24617-2
Emer Gilmartin | Christian Saam | Brendan Spillane | Maria O’Reilly | Ketong Su | Arturo Calvo | Loredana Cerrato | Killian Levacher | Nick Campbell | Vincent Wade
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)


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Annotation of greeting, introduction, and leavetaking in dialogues
Emer Gilmartin | Brendan Spillane | Maria O’Reilly | Christian Saam | Ketong Su | Benjamin R. Cowan | Killian Levacher | Arturo Calvo Devesa | Lodana Cerrato | Nick Campbell | Vincent Wade
Proceedings of the 13th Joint ISO-ACL Workshop on Interoperable Semantic Annotation (ISA-13)


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Capturing Chat: Annotation and Tools for Multiparty Casual Conversation.
Emer Gilmartin | Nick Campbell
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

Casual multiparty conversation is an understudied but very common genre of spoken interaction, whose analysis presents a number of challenges in terms of data scarcity and annotation. We describe the annotation process used on the d64 and DANS multimodal corpora of multiparty casual talk, which have been manually segmented, transcribed, annotated for laughter and disfluencies, and aligned using the Penn Aligner. We also describe a visualization tool, STAVE, developed during the annotation process, which allows long stretches of talk or indeed entire conversations to be viewed, aiding preliminary identification of features and patterns worthy of analysis. It is hoped that this tool will be of use to other researchers working in this field.


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Laugher and Topic Transition in Multiparty Conversation
Emer Gilmartin | Francesca Bonin | Carl Vogel | Nick Campbell
Proceedings of the SIGDIAL 2013 Conference


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The Herme Database of Spontaneous Multimodal Human-Robot Dialogues
Jing Guang Han | Emer Gilmartin | Celine De Looze | Brian Vaughan | Nick Campbell
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

This paper presents methodologies and tools for language resource (LR) construction. It describes a database of interactive speech collected over a three-month period at the Science Gallery in Dublin, where visitors could take part in a conversation with a robot. The system collected samples of informal, chatty dialogue -- normally difficult to capture under laboratory conditions for human-human dialogue, and particularly so for human-machine interaction. The conversations were based on a script followed by the robot consisting largely of social chat with some task-based elements. The interactions were audio-visually recorded using several cameras together with microphones. As part of the conversation the participants were asked to sign a consent form giving permission to use their data for human-machine interaction research. The multimodal corpus will be made available to interested researchers and the technology developed during the three-month exhibition is being extended for use in education and assisted-living applications.