no code implementations • ACL (IWPT) 2021 • Bruno Guillaume, Guy Perrier
This paper describes a system proposed for the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (EUD).
no code implementations • RANLP 2021 • Hee-Soo Choi, Bruno Guillaume, Karën Fort, Guy Perrier
This paper details experiments we performed on the Universal Dependencies 2. 7 corpora in order to investigate the dominant word order in the available languages.
no code implementations • LREC 2022 • Harry Bunt, Maxime Amblard, Johan Bos, Karën Fort, Bruno Guillaume, Philippe de Groote, Chuyuan Li, Pierre Ludmann, Michel Musiol, Siyana Pavlova, Guy Perrier, Sylvain Pogodalla
This paper describes the continuation of a project that aims at establishing an interoperable annotation schema for quantification phenomena as part of the ISO suite of standards for semantic annotation, known as the Semantic Annotation Framework.
no code implementations • ISA (LREC) 2022 • Maxime Amblard, Bruno Guillaume, Siyana Pavlova, Guy Perrier
This paper presents how the online tool GREW-MATCH can be used to make queries and visualise data from existing semantically annotated corpora.
no code implementations • WS 2018 • Kim Gerdes, Bruno Guillaume, Sylvain Kahane, Guy Perrier
This article proposes a surface-syntactic annotation scheme called SUD that is near-isomorphic to the Universal Dependencies (UD) annotation scheme while following distributional criteria for defining the dependency tree structure and the naming of the syntactic functions.
no code implementations • LREC 2014 • Bruno Guillaume, Kar{\"e}n Fort, Guy Perrier, Paul B{\'e}daride
We chose to use the examples provided in one of the resource to find implicit links between the two and make them explicit.
no code implementations • LREC 2014 • C, Marie ito, Guy Perrier, Bruno Guillaume, Corentin Ribeyre, Kar{\"e}n Fort, Djam{\'e} Seddah, {\'E}ric de la Clergerie
We define a deep syntactic representation scheme for French, which abstracts away from surface syntactic variation and diathesis alternations, and describe the annotation of deep syntactic representations on top of the surface dependency trees of the Sequoia corpus.