Search Results for author: Bruno Guillaume

Found 28 papers, 1 papers with code

Graph Rewriting for Enhanced Universal Dependencies

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).

Quantification Annotation in ISO 24617-12, Second Draft

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.

Investigating Dominant Word Order on Universal Dependencies with Graph Rewriting

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.

Graph Querying for Semantic Annotations

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.

How much of UCCA can be predicted from AMR?

no code implementations ISA (LREC) 2022 Siyana Pavlova, Maxime Amblard, Bruno Guillaume

In this paper, we consider two of the currently popular semantic frameworks: Abstract Meaning Representation (AMR)a more abstract framework, and Universal Conceptual Cognitive Annotation (UCCA)-an anchored framework.

Graph Matching and Graph Rewriting: GREW tools for corpus exploration, maintenance and conversion

no code implementations EACL 2021 Bruno Guillaume

This article presents a set of tools built around the Graph Rewriting computational framework which can be used to compute complex rule-based transformations on linguistic structures.

Graph Matching

Rigor Mortis: Annotating MWEs with a Gamified Platform

no code implementations LREC 2020 Kar{\"e}n Fort, Bruno Guillaume, Yann-Alan Pilatte, Mathieu Constant, Nicolas Lef{\`e}bvre

We present here Rigor Mortis, a gamified crowdsourcing platform designed to evaluate the intuition of the speakers, then train them to annotate multi-word expressions (MWEs) in French corpora.

When Collaborative Treebank Curation Meets Graph Grammars

no code implementations LREC 2020 Ga{\"e}l Guibon, Marine Courtin, Kim Gerdes, Bruno Guillaume

In this paper we present Arborator-Grew, a collaborative annotation tool for treebank development.

SUD or Surface-Syntactic Universal Dependencies: An annotation scheme near-isomorphic to UD

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.

Crowdsourcing Complex Language Resources: Playing to Annotate Dependency Syntax

no code implementations COLING 2016 Bruno Guillaume, Kar{\"e}n Fort, Nicolas Lefebvre

This article presents the results we obtained on a complex annotation task (that of dependency syntax) using a specifically designed Game with a Purpose, ZombiLingo.

Active Learning Natural Language Inference

Recherche de motifs de graphe en ligne

no code implementations JEPTALNRECITAL 2015 Bruno Guillaume

Nous pr{\'e}sentons un outil en ligne de recherche de graphes dans des corpus annot{\'e}s en syntaxe.

Mapping the Lexique des Verbes du Fran\ccais (Lexicon of French Verbs) to a NLP lexicon using examples

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.

Deep Syntax Annotation of the Sequoia French Treebank

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.

Dependency Parsing

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