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Found 21 papers, 1 papers with code
Detecting Contact-Induced Semantic Shifts: What Can Embedding-Based Methods Do in Practice?
This study investigates the applicability of semantic change detection methods in descriptively oriented linguistic research.
LITL at SMM4H: An Old-school Feature-based Classifier for Identifying Adverse Effects in Tweets
This paper describes our participation to the SMM4H shared task 2.
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions.
Impact de la structure logique des documents sur les mod\`eles distributionnels : exp\'erimentations sur le corpus TALN (Impact of document structure on distributional semantics models: a case study on NLP research articles )
Nous pr{\'e}sentons une exp{\'e}rience visant {\`a} mesurer en quoi la structure logique d{'}un document impacte les repr{\'e}sentations lexicales dans les mod{\`e}les de s{\'e}mantique distributionnelle.
Collecting Tweets to Investigate Regional Variation in Canadian English
We present a 78. 8-million-tweet, 1. 3-billion-word corpus aimed at studying regional variation in Canadian English with a specific focus on the dialect regions of Toronto, Montreal, and Vancouver.
Extrinsic Evaluation of French Dependency Parsers on a Specialized Corpus: Comparison of Distributional Thesauri
We present a study in which we compare 11 different French dependency parsers on a specialized corpus (consisting of research articles on NLP from the proceedings of the TALN conference).
Which Dependency Parser to Use for Distributional Semantics in a Specialized Domain?
We present a study whose objective is to compare several dependency parsers for English applied to a specialized corpus for building distributional count-based models from syntactic dependencies.
Comparaison qualitative et extrins\`eque d'analyseurs syntaxiques du fran\ccais : confrontation de mod\`eles distributionnels sur un corpus sp\'ecialis\'e (Extrinsic evaluation of French dependency parsers on a specialised corpus : comparison of distributional thesauri )
Nous pr{\'e}sentons une {\'e}tude visant {\`a} comparer 11 diff{\'e}rents analyseurs en d{\'e}pendances du fran{\c{c}}ais sur un corpus sp{\'e}cialis{\'e} (constitu{\'e} des archives des articles de la conf{\'e}rence TALN).
Toward a Computational Multidimensional Lexical Similarity Measure for Modeling Word Association Tasks in Psycholinguistics
This paper presents the first results of a multidisciplinary project, the {``}Evolex{''} project, gathering researchers in Psycholinguistics, Neuropsychology, Computer Science, Natural Language Processing and Linguistics.
Investigating the Stability of Concrete Nouns in Word Embeddings
We know that word embeddings trained using neural-based methods (such as word2vec SGNS) are sensitive to stability problems and that across two models trained using the exact same set of parameters, the nearest neighbors of a word are likely to change.
Predicting Word Embeddings Variability
Neural word embeddings models (such as those built with word2vec) are known to have stability problems: when retraining a model with the exact same hyperparameters, words neighborhoods may change.
Towards Qualitative Word Embeddings Evaluation: Measuring Neighbors Variation
We propose a method to study the variation lying between different word embeddings models trained with different parameters.
Etude de la reproductibilit\'e des word embeddings : rep\'erage des zones stables et instables dans le lexique (Reproducibility of word embeddings : identifying stable and unstable zones in the semantic space)
Les mod{\`e}les vectoriels de s{\'e}mantique distributionnelle (ou word embeddings), notamment ceux produits par les m{\'e}thodes neuronales, posent des questions de reproductibilit{\'e} et donnent des repr{\'e}sentations diff{\'e}rentes {\`a} chaque utilisation, m{\^e}me sans modifier leurs param{\`e}tres.
Analyse d'une t\^ache de substitution lexicale : quelles sont les sources de difficult\'e ? (Difficulty analysis for a lexical substitution task)
Nous proposons dans cet article une analyse des r{\'e}sultats de la campagne SemDis 2014 qui proposait une t{\^a}che de substitution lexicale en fran{\c{c}}ais.
An empirical resource for discovering cognitive principles of discourse organisation: the ANNODIS corpus
This paper describes the ANNODIS resource, a discourse-level annotated corpus for French.
