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Found 8 papers, 1 papers with code
Can Machine Translation Bridge Multilingual Pretraining and Cross-lingual Transfer Learning?
We furthermore provide evidence through similarity measures and investigation of parameters that this lack of positive influence is due to output separability -- which we argue is of use for machine translation but detrimental elsewhere.
SemEval-2024 Shared Task 6: SHROOM, a Shared-task on Hallucinations and Related Observable Overgeneration Mistakes
This paper presents the results of the SHROOM, a shared task focused on detecting hallucinations: outputs from natural language generation (NLG) systems that are fluent, yet inaccurate.
"Definition Modeling: To model definitions." Generating Definitions With Little to No Semantics
Definition Modeling, the task of generating definitions, was first proposed as a means to evaluate the semantic quality of word embeddings-a coherent lexical semantic representations of a word in context should contain all the information necessary to generate its definition.
FlauBERT : des mod\`eles de langue contextualis\'es pr\'e-entra\^\in\'es pour le fran\ccais (FlauBERT : Unsupervised Language Model Pre-training for French)
Les mod{\`e}les de langue pr{\'e}-entra{\^\i}n{\'e}s sont d{\'e}sormais indispensables pour obtenir des r{\'e}sultats {\`a} l{'}{\'e}tat-de-l{'}art dans de nombreuses t{\^a}ches du TALN.
FrSemCor: Annotating a French Corpus with Supersenses
French, as many languages, lacks semantically annotated corpus data.
FlauBERT: Unsupervised Language Model Pre-training for French
Language models have become a key step to achieve state-of-the art results in many different Natural Language Processing (NLP) tasks.
Ranked #1 on
Natural Language Inference
on XNLI French
Mod\`eles de langue appliqu\'es aux sch\'emas Winograd fran\ccais (Language Models applied to French Winograd Schemas)
Les performances que nous obtenons, surtout compar{\'e}es {\`a} celles de Amsili {\&} Seminck (2017b), sugg{\`e}rent que l{'}approche par mod{\`e}le de langue des sch{\'e}mas Winograd reste limit{\'e}e, sans doute en partie {\`a} cause du fait que les mod{\`e}les de langue encodent tr{\`e}s difficilement le genre de raisonnement n{\'e}cessaire {\`a} la r{\'e}solution des sch{\'e}mas Winograd.
Using Wiktionary as a resource for WSD : the case of French verbs
In this paper, we investigate which strategy to adopt to achieve WSD for languages lacking data that was annotated specifically for the task, focusing on the particular case of verb disambiguation in French.
