Papers by Lila Gravellier

1 papers
Weakly supervised discourse segmentation for multiparty oral conversations (2021.emnlp-main)

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Challenge: Discourse segmentation is the first step of discourse analysis.
Approach: They propose a weak supervision approach to adapt a latent model to French conversation transcripts with a linguistic and acoustic input.
Outcome: The proposed model improves in situations where speaker turns are lacking or noisy, gaining up to 13% in F-score.

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