Mathilde Guardiola

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We propose in this paper a broad-coverage approach for multimodal annotation of conversational data. Large annotation projects addressing the question of multimo-dal annotation bring together many different kinds of information from different domains, with different levels of granula-rity. We present in this paper the first results of the OTIM project(More)
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(More)
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(More)
This paper investigates how and when interactional convergence is established by participants in conversation. We analyze sequences of storytelling using an original method that combines Conversation Analysis and a corpus-based approach. In storytelling, the participant in the position of "listener" is expected to produce either generic or specific(More)
This study concerns the evolution of listeners' production during narratives in a French conversational corpus. Using the method of Conversational analysis in a first part of the study, we show that listeners use different discursive devices throughout the narrative. In a second part, we attempt to estimate this behavior in a systematic way by measuring the(More)
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