Philippe Muller

3 paper cards in Mova's library · 2017–2023

Philippe Muller wrote 3 of the papers Mova reads, in 2017–2023, most of them on Discourse analysis, Dependency parsing; often with Mathieu Morey, Nicholas Asher, Amir Zeldes.

The profile is the library's match of the name; two people with one name are not always told apart.

Papers

The DISRPT 2023 Shared Task on Elementary Discourse Unit Segmentation, Connective Detection, and Relation Classification (2023)
The third DISRPT task extends the 2019 and 2021 editions. It covers 26 corpora in four frameworks (RST, SDRT, PDTB and a new dependency framework, DEP) and 13 languages, of which 10 corpora are new. Three tasks are set: EDU segmentation (a BIO-style boundary label per token), connective detection (B and I labels per…
A Dependency Perspective on RST Discourse Parsing and Evaluation (2018)
RST parsing had been treated as constituency parsing and scored with a simplified PARSEVAL on RST-DT, which counts one attachment decision several times and says little about the semantic arguments of relations.
How much progress have we made on RST discourse parsing? A replication study of recent results on the RST-DT (2017)
Eight papers from 2013 to 2017 reported large gains in RST discourse parsing, with a claimed relative error reduction of 24 to 51%.