Search Results for author: Julie Hunter

Found 6 papers, 2 papers with code

Weakly supervised discourse segmentation for multiparty oral conversations

1 code implementation EMNLP 2021 Lila Gravellier, Julie Hunter, Philippe Muller, Thomas Pellegrini, Isabelle Ferrané

Discourse segmentation, the first step of discourse analysis, has been shown to improve results for text summarization, translation and other NLP tasks.

Discourse Segmentation Text Segmentation +2

Abstractive Meeting Summarization: A Survey

1 code implementation8 Aug 2022 Virgile Rennard, Guokan Shang, Julie Hunter, Michalis Vazirgiannis

Recent advances in deep learning, and especially the invention of encoder-decoder architectures, has significantly improved the performance of abstractive summarization systems.

Abstractive Text Summarization Meeting Summarization

Interpretive Blindness

no code implementations19 Oct 2021 Nicholas Asher, Julie Hunter

We model here an epistemic bias we call \textit{interpretive blindness} (IB).

Discourse Structure and Dialogue Acts in Multiparty Dialogue: the STAC Corpus

no code implementations LREC 2016 Nicholas Asher, Julie Hunter, Mathieu Morey, Benamara Farah, Stergos Afantenos

This paper describes the STAC resource, a corpus of multi-party chats annotated for discourse structure in the style of SDRT (Asher and Lascarides, 2003; Lascarides and Asher, 2009).

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