Search Results for author: Kar{\"e}n Fort

Found 28 papers, 0 papers with code

R\'epliquer et \'etendre pour l'alsacien ``\'Etiquetage en parties du discours de langues peu dot\'ees par sp\'ecialisation des plongements lexicaux'' (Replicating and extending for Alsatian : ``POS tagging for low-resource languages by adapting word embeddings'')

no code implementations JEPTALNRECITAL 2020 Alice Millour, Kar{\"e}n Fort, Pierre Magistry

Nous pr{\'e}sentons ici les r{\'e}sultats d{'}un travail de r{\'e}plication et d{'}extension pour l{'}alsacien d{'}une exp{\'e}rience concernant l{'}{\'e}tiquetage en parties du discours de langues peu dot{\'e}es par sp{\'e}cialisation des plongements lexicaux (Magistry et al., 2018).

POS Word Embeddings

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.

Community Perspective on Replicability in Natural Language Processing

no code implementations RANLP 2019 Margot Mieskes, Kar{\"e}n Fort, Aur{\'e}lie N{\'e}v{\'e}ol, Cyril Grouin, Kevin Cohen

With recent efforts in drawing attention to the task of replicating and/or reproducing results, for example in the context of COLING 2018 and various LREC workshops, the question arises how the NLP community views the topic of replicability in general.

Natural Language Processing

Unsupervised Data Augmentation for Less-Resourced Languages with no Standardized Spelling

no code implementations RANLP 2019 Alice Millour, Kar{\"e}n Fort

Building representative linguistic resources and NLP tools for non-standardized languages is challenging: when spelling is not determined by a norm, multiple written forms can be encountered for a given word, inducing a large proportion of out-of-vocabulary words.

Data Augmentation Part-Of-Speech Tagging

Vers une solution l\'eg\`ere de production de donn\'ees pour le TAL : cr\'eation d'un tagger de l'alsacien par crowdsourcing b\'en\'evole (Toward a lightweight solution to the language resources bottleneck issue: creating a POS tagger for Alsatian using voluntary crowdsourcing)

no code implementations JEPTALNRECITAL 2017 Alice Millour, Kar{\"e}n Fort, Delphine Bernhard, Lucie Steibl{\'e}

Nous pr{\'e}sentons ici les r{\'e}sultats d{'}une exp{\'e}rience men{\'e}e sur l{'}annotation en parties du discours d{'}un corpus d{'}une langue r{\'e}gionale encore peu dot{\'e}e, l{'}alsacien, via une plateforme de myriadisation (crowdsourcing) b{\'e}n{\'e}vole d{\'e}velopp{\'e}e sp{\'e}cifiquement {\`a} cette fin : Bisame1 .


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

Yes, We Care! Results of the Ethics and Natural Language Processing Surveys

no code implementations LREC 2016 Kar{\"e}n Fort, Alain Couillault

We present here the context and results of two surveys (a French one and an international one) concerning Ethics and NLP, which we designed and conducted between June and September 2015.

Natural Language Processing

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

Propa-L: a semantic filtering service from a lexical network created using Games With A Purpose

no code implementations LREC 2014 Mathieu Lafourcade, Kar{\"e}n Fort

This article presents Propa-L, a freely accessible Web service that allows to semantically filter a lexical network.

Evaluating corpora documentation with regards to the Ethics and Big Data Charter

no code implementations LREC 2014 Alain Couillault, Kar{\"e}n Fort, Gilles Adda, Hugues de Mazancourt

The authors have written the Ethic and Big Data Charter in collaboration with various agencies, private bodies and associations.

Annotating Football Matches: Influence of the Source Medium on Manual Annotation

no code implementations LREC 2012 Kar{\"e}n Fort, Vincent Claveau

In this paper, we present an annotation campaign of football (soccer) matches, from a heterogeneous text corpus of both match minutes and video commentary transcripts, in French.

Analyzing the Impact of Prevalence on the Evaluation of a Manual Annotation Campaign

no code implementations LREC 2012 Kar{\"e}n Fort, Claire Fran{\c{c}}ois, Olivier Galibert, Maha Ghribi

This article details work aiming at evaluating the quality of the manual annotation of gene renaming couples in scientific abstracts, which generates sparse annotations.

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