no code implementations • WS 2019 • Simon Flachs, Oph{\'e}lie Lacroix, Anders S{\o}gaard
This paper describes our contribution to the low-resource track of the BEA 2019 shared task on Grammatical Error Correction (GEC).
no code implementations • NAACL 2019 • Simon Flachs, Oph{\'e}lie Lacroix, Marek Rei, Helen Yannakoudakis, Anders S{\o}gaard
While rule-based detection of subject-verb agreement (SVA) errors is sensitive to syntactic parsing errors and irregularities and exceptions to the main rules, neural sequential labelers have a tendency to overfit their training data.
no code implementations • WS 2018 • Oph{\'e}lie Lacroix
Chunking is a pre-processing task generally dedicated to improving constituency parsing.
no code implementations • NAACL 2018 • Guillaume Wisniewski, Oph{\'e}lie Lacroix, Fran{\c{c}}ois Yvon
This work introduces a new strategy to compare the numerous conventions that have been proposed over the years for expressing dependency structures and discover the one for which a parser will achieve the highest parsing performance.
1 code implementation • EMNLP 2017 • Chlo{\'e} Braud, Oph{\'e}lie Lacroix, Anders S{\o}gaard
Discourse segmentation is the first step in building discourse parsers.
no code implementations • ACL 2017 • Chlo{\'e} Braud, Oph{\'e}lie Lacroix, Anders S{\o}gaard
Discourse segmentation is a crucial step in building end-to-end discourse parsers.
no code implementations • JEPTALNRECITAL 2016 • Oph{\'e}lie Lacroix, Lauriane Aufrant, Guillaume Wisniewski, Fran{\c{c}}ois Yvon
Cet article pr{\'e}sente une m{\'e}thode simple de transfert cross-lingue de d{\'e}pendances.
no code implementations • JEPTALNRECITAL 2015 • Denis B{\'e}chet, Oph{\'e}lie Lacroix
Dans le cadre de l{'}analyse en d{\'e}pendances du fran{\c{c}}ais, le ph{\'e}nom{\`e}ne de la non-projectivit{\'e} est peu pris en compte, en majeure partie car les donne{\'e}s sur lesquelles sont entra{\^\i}n{\'e}s les analyseurs repr{\'e}sentent peu ou pas ces cas particuliers.
no code implementations • LREC 2014 • Oph{\'e}lie Lacroix, Denis B{\'e}chet
In order to build large dependency treebanks using the CDG Lab, a grammar-based dependency treebank development tool, an annotator usually has to fill a selection form before parsing.