Mathilde Guardiola


2014

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Automatic detection of other-repetition occurrences: application to French conversational Speech
Brigitte Bigi | Roxane Bertrand | Mathilde Guardiola
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

This paper investigates the discursive phenomenon called other-repetitions (OR), particularly in the context of spontaneous French dialogues. It focuses on their automatic detection and characterization. A method is proposed to retrieve automatically OR: this detection is based on rules that are applied on the lexical material only. This automatic detection process has been used to label other-repetitions on 8 dialogues of CID - Corpus of Interactional Data. Evaluations performed on one speaker are good with a F1-measure of 0.85. Retrieved OR occurrences are then statistically described: number of words, distance, etc.

2010

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The OTIM Formal Annotation Model: A Preliminary Step before Annotation Scheme
Philippe Blache | Roxane Bertrand | Mathilde Guardiola | Marie-Laure Guénot | Christine Meunier | Irina Nesterenko | Berthille Pallaud | Laurent Prévot | Béatrice Priego-Valverde | Stéphane Rauzy
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)

Large annotation projects, typically those addressing the question of multimodal annotation in which many different kinds of information have to be encoded, have to elaborate precise and high level annotation schemes. Doing this requires first to define the structure of the information: the different objects and their organization. This stage has to be as much independent as possible from the coding language constraints. This is the reason why we propose a preliminary formal annotation model, represented with typed feature structures. This representation requires a precise definition of the different objects, their properties (or features) and their relations, represented in terms of type hierarchies. This approach has been used to specify the annotation scheme of a large multimodal annotation project (OTIM) and experimented in the annotation of a multimodal corpus (CID, Corpus of Interactional Data). This project aims at collecting, annotating and exploiting a dialogue video corpus in a multimodal perspective (including speech and gesture modalities). The corpus itself, is made of 8 hours of dialogues, fully transcribed and richly annotated (phonetics, syntax, pragmatics, gestures, etc.).

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Multimodal Annotation of Conversational Data
Philippe Blache | Roxane Bertrand | Emmanuel Bruno | Brigitte Bigi | Robert Espesser | Gaelle Ferré | Mathilde Guardiola | Daniel Hirst | Ning Tan | Edlira Cela | Jean-Claude Martin | Stéphane Rauzy | Mary-Annick Morel | Elisabeth Murisasco | Irina Nesterenko
Proceedings of the Fourth Linguistic Annotation Workshop