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Evaluation of distributional semantic models: a holistic approach
We investigate how both model-related factors and application-related factors affect the accuracy of distributional semantic models (DSMs) in the context of specialized lexicography, and how these factors interact.
Texto4Science: a Quebec French Database of Annotated Short Text Messages
In October 2009, was launched the Quebec French part of the international sms4science project, called texto4science.
Analysing the Impact of Supervised Machine Learning on Automatic Term Extraction: HAMLET vs TermoStat
Traditional approaches to automatic term extraction do not rely on machine learning (ML) and select the top n ranked candidate terms or candidate terms above a certain predefined cut-off point, based on a limited number of linguistic and statistical clues.
Automatic Term Extraction from Newspaper Corpora: Making the Most of Specificity and Common Features
The first step of any terminological work is to setup a reliable, specialized corpus composed of documents written by specialists and then to apply automatic term extraction (ATE) methods to this corpus in order to retrieve a first list of potential terms.
TermEval 2020: Shared Task on Automatic Term Extraction Using the Annotated Corpora for Term Extraction Research (ACTER) Dataset
The TermEval 2020 shared task provided a platform for researchers to work on automatic term extraction (ATE) with the same dataset: the Annotated Corpora for Term Extraction Research (ACTER).
La s\'eparation des composantes lexicale et flexionnelle des vecteurs de mots
En s{\'e}mantique distributionnelle, le sens des mots est mod{\'e}lis{\'e} par des vecteurs qui repr{\'e}sentent leur distribution en corpus.
\'Evaluation des mod\`eles s\'emantiques distributionnels : le cas de la d\'erivation syntaxique (Evaluation of distributional semantic models : The case of syntactic derivation )
Nous {\'e}valuons deux mod{\`e}les s{\'e}mantiques distributionnels au moyen d{'}un jeu de donn{\'e}es repr{\'e}sentant quatre types de relations lexicales et analysons l{'}influence des param{\`e}tres des deux mod{\`e}les.
Combiner des mod\`eles s\'emantiques distributionnels pour mieux d\'etecter les termes \'evoquant le m\^eme cadre s\'emantique (Combining distributional semantic models to improve the identification of terms that evoke the same semantic frame)
Nous utilisons des mod{\`e}les s{\'e}mantiques distributionnels pour d{\'e}tecter des termes qui {\'e}voquent le m{\^e}me cadre s{\'e}mantique.
A Methodology for Building a Diachronic Dataset of Semantic Shifts and its Application to QC-FR-Diac-V1.0, a Free Reference for French
Different algorithms have been proposed to detect semantic shifts (changes in a word meaning over time) in a diachronic corpus.
