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Conference Papers Year : 2014

Exploiting the human computational effort dedicated to message reply formatting for training discursive email segmenters

Abstract

In the context of multi-domain and multimodal online asynchronous discussion analysis, we propose an innovative strategy for manual annotation of dialog act (DA) segments. The process aims at supporting the analysis of messages in terms of DA. Our objective is to train a sequence labelling system to detect the segment boundaries. The originality of the proposed approach is to avoid manually annotating the training data and instead exploit the human computational efforts dedicated to message reply formatting when the writer replies to a message by inserting his response just after the quoted text appropriate to his intervention. We describe the approach, propose a new electronic mail corpus and report the evaluation of segmentation models we built.
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Dates and versions

hal-01117477 , version 1 (17-02-2015)

Identifiers

  • HAL Id : hal-01117477 , version 1

Cite

Nicolas Hernandez, Soufian Salim. Exploiting the human computational effort dedicated to message reply formatting for training discursive email segmenters. LAW VIII - The 8th Linguistic Annotation Workshop, Aug 2014, Dublin, Ireland. pp.110 - 119. ⟨hal-01117477⟩
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