Standoff coordination for multi-tool annotation in a dialogue corpus

Rodríguez, Kepa Joseba; Dipper, Stefanie; Götze, Michael; Poesio, Massimo; Riccardi, Giuseppe; Raymond, Christian; Rabiega-Wiśniewska, Joanna

doi:10.3115/1642059.1642083

Cited by 10 publications

(6 citation statements)

References 15 publications

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“…In order to make the subsequent processing easier and the form of the transcribed files The Rovereto Emotion and Cooperation Corpus 123 more uniform, we adopted the conventions of the LUNA corpus (Rodríguez et al 2007). Two transcribers fixed the problems in each orthographic transcription and run a validation script to find unrecognized spelling and transcription codes.…”

Section: Transcription Methodsmentioning

confidence: 99%

The Rovereto Emotion and Cooperation Corpus: a new resource to investigate cooperation and emotions

Cavicchio

Poesio

2011

Lang Resources & Evaluation

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The Rovereto Emotion and Cooperation Corpus (RECC) is a new resource collected to investigate the relationship between cooperation and emotions in an interactive setting. Previous attempts at collecting corpora to study emotions have shown that this data are often quite difficult to classify and analyse, and coding schemes to analyse emotions are often found not to be reliable. We collected a corpus of task-oriented (MapTask-style) dialogues in Italian, in which the segments of emotional interest are identified using psycho-physiological indexes (Heart Rate and Galvanic Skin Conductance) which are highly reliable. We then annotated these segments in accordance with novel multimodal annotation schemes for cooperation (in terms of effort) and facial expressions (an indicator of emotional state). High agreement was obtained among coders on all the features. The RECC corpus is to our knowledge the first resource with psycho-physiological data aligned with verbal and nonverbal behaviour data.

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Section: Transcription Methodsmentioning

confidence: 99%

The Rovereto Emotion and Cooperation Corpus: a new resource to investigate cooperation and emotions

Cavicchio

Poesio

2011

Lang Resources & Evaluation

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“…Recently, several studies have addressed multilevel annotation of dialogues [1,12,15]; in our study, we focus on the two aspects of a DA indicated by [4]. One is the communicative function that corresponds to how the content should be used in order to update the context, and the other is a semantic content that corresponds to what the act is about.…”

Section: Annotation Of Communicative Function and Semantic Con-tent Imentioning

confidence: 99%

“…In this study, we adopt dialogue acts (DAs) [1,4,12,15,16] for this information and annotate DAs in the corpus.…”

Section: Poster Sessionmentioning

confidence: 99%

Dialogue act annotation for consulting dialogue corpus

Ohtake¹,

Misu²,

Hori³

et al. 2009

Proceedings of the 3rd International Universal Communication Symposium

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This paper introduces a new corpus of consulting dialogues, which is designed for training a dialogue manager that can handle consulting dialogues through spontaneous interactions from the tagged dialogue corpus. We have collected 130 h of consulting dialogues in the tourist guidance domain. This paper outlines our taxonomy of dialogue act annotation that can describe two aspects of an utterances: the communicative function (speech act), and the semantic content of the utterance. We provide an overview of the Kyoto tour guide dialogue corpus and a preliminary analysis using the dialogue act tags.

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“…Recently, several studies have addressed multilevel annotation of dialogues (Levin et al, 2002;Bangalore et al, 2006;Rodriguez et al, 2007); in our study, we focus on the two aspects of a DA indicated by Bunt (2000). One is the communicative function that corresponds to how the content should be used in order to update the context, and the other is a semantic content that corresponds to what the act is about.…”

Section: Annotation Of Communicative Function and Semantic Content In Damentioning

confidence: 99%

“…In this study, we adopt dialogue acts (DAs) (Bunt, 2000;Shriberg et al, 2004;Bangalore et al, 2006;Rodriguez et al, 2007;Levin et al, 2002) for this information and annotate DAs in the corpus.…”

Section: Introductionmentioning

confidence: 99%