Abstract - This article describes a new principled framework for comparison, design and standardization of annotation schemes for dialogue acts. Previous attempts at comparing existing schemes in order to identify a common core of generally agreed-upon dialogue acts share the assumption that tags belonging to different schemes and describing the same general phenomena can always be related through hypo- or hyperonymy relationships. Consequently, general-purpose schemes have often been the result of a merger of different tag sets. In this article, we show the extent to which comparability of different annotation schemes is prevented by the very limited tag inter-translatability. We thus describe an alternative approach to the comparison of dialogue act taxonomies based on a compositional analysis of tags according to independent classificatory dimensions. The framework takes a recognition-based approach to dialogue tagging and defines four independent taxonomies of tags, one for each orthogonal dimension of linguistic and contextual analysis assumed to have a bearing on identification of dialogue acts. We also show how the same framework can be used to design a generalpurpose annotation scheme which combines the features of generality and expressivity by exploiting a modular structure. The advantages and limitations of this proposal over other previous attempts are discussed and concretely exemplified.

A multi-level annotation meta-scheme for dialogue acts

Soria C;Pirrelli V
2003

Abstract

Abstract - This article describes a new principled framework for comparison, design and standardization of annotation schemes for dialogue acts. Previous attempts at comparing existing schemes in order to identify a common core of generally agreed-upon dialogue acts share the assumption that tags belonging to different schemes and describing the same general phenomena can always be related through hypo- or hyperonymy relationships. Consequently, general-purpose schemes have often been the result of a merger of different tag sets. In this article, we show the extent to which comparability of different annotation schemes is prevented by the very limited tag inter-translatability. We thus describe an alternative approach to the comparison of dialogue act taxonomies based on a compositional analysis of tags according to independent classificatory dimensions. The framework takes a recognition-based approach to dialogue tagging and defines four independent taxonomies of tags, one for each orthogonal dimension of linguistic and contextual analysis assumed to have a bearing on identification of dialogue acts. We also show how the same framework can be used to design a generalpurpose annotation scheme which combines the features of generality and expressivity by exploiting a modular structure. The advantages and limitations of this proposal over other previous attempts are discussed and concretely exemplified.
Campo DC Valore Lingua
dc.authority.ancejournal LINGUISTICA COMPUTAZIONALE -
dc.authority.orgunit Istituto di linguistica computazionale "Antonio Zampolli" - ILC -
dc.authority.people Soria C it
dc.authority.people Pirrelli V it
dc.collection.id.s b3f88f24-048a-4e43-8ab1-6697b90e068e *
dc.collection.name 01.01 Articolo in rivista *
dc.contributor.appartenenza Istituto di linguistica computazionale "Antonio Zampolli" - ILC *
dc.contributor.appartenenza.mi 918 *
dc.date.accessioned 2024/02/19 00:45:30 -
dc.date.available 2024/02/19 00:45:30 -
dc.date.issued 2003 -
dc.description.abstracteng Abstract - This article describes a new principled framework for comparison, design and standardization of annotation schemes for dialogue acts. Previous attempts at comparing existing schemes in order to identify a common core of generally agreed-upon dialogue acts share the assumption that tags belonging to different schemes and describing the same general phenomena can always be related through hypo- or hyperonymy relationships. Consequently, general-purpose schemes have often been the result of a merger of different tag sets. In this article, we show the extent to which comparability of different annotation schemes is prevented by the very limited tag inter-translatability. We thus describe an alternative approach to the comparison of dialogue act taxonomies based on a compositional analysis of tags according to independent classificatory dimensions. The framework takes a recognition-based approach to dialogue tagging and defines four independent taxonomies of tags, one for each orthogonal dimension of linguistic and contextual analysis assumed to have a bearing on identification of dialogue acts. We also show how the same framework can be used to design a generalpurpose annotation scheme which combines the features of generality and expressivity by exploiting a modular structure. The advantages and limitations of this proposal over other previous attempts are discussed and concretely exemplified. -
dc.description.affiliations CNR-ILC -
dc.description.allpeople Soria, C; Pirrelli, V -
dc.description.allpeopleoriginal Soria C., Pirrelli V. -
dc.description.fulltext none en
dc.description.numberofauthors 2 -
dc.identifier.uri https://hdl.handle.net/20.500.14243/37658 -
dc.language.iso eng -
dc.relation.firstpage 925 -
dc.relation.lastpage 952 -
dc.relation.volume 18-19 -
dc.subject.keywords dialogue acts -
dc.subject.keywords annotation scheme -
dc.subject.keywords pragmatics -
dc.subject.singlekeyword dialogue acts *
dc.subject.singlekeyword annotation scheme *
dc.subject.singlekeyword pragmatics *
dc.title A multi-level annotation meta-scheme for dialogue acts en
dc.type.driver info:eu-repo/semantics/article -
dc.type.full 01 Contributo su Rivista::01.01 Articolo in rivista it
dc.type.miur 262 -
dc.type.referee Sì, ma tipo non specificato -
dc.ugov.descaux1 64470 -
iris.orcid.lastModifiedDate 2024/04/04 17:29:46 *
iris.orcid.lastModifiedMillisecond 1712244586568 *
iris.sitodocente.maxattempts 3 -
Appare nelle tipologie: 01.01 Articolo in rivista
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/37658
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