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pro vyhledávání: '"Chifu, Adrian"'
Autor:
Poesina, Eduard, Costache, Adriana Valentina, Chifu, Adrian-Gabriel, Mothe, Josiane, Ionescu, Radu Tudor
Text-to-image generation has recently emerged as a viable alternative to text-to-image retrieval, due to the visually impressive results of generative diffusion models. Although query performance prediction is an active research topic in information
Externí odkaz:
http://arxiv.org/abs/2406.04746
Autor:
Chifu, Adrian-Gabriel, Déjean, Sébastien, Garouani, Moncef, Mothe, Josiane, Ortiz, Diégo, Ullah, Md Zia
Query performance prediction (QPP) aims to forecast the effectiveness of a search engine across a range of queries and documents. While state-of-the-art predictors offer a certain level of precision, their accuracy is not flawless. Prior research has
Externí odkaz:
http://arxiv.org/abs/2402.16875
One of the challenges of natural language understanding is to deal with the subjectivity of sentences, which may express opinions and emotions that add layers of complexity and nuance. Sentiment analysis is a field that aims to extract and analyze th
Externí odkaz:
http://arxiv.org/abs/2402.03163
We present a novel corpus for French dialect identification comprising 413,522 French text samples collected from public news websites in Belgium, Canada, France and Switzerland. To ensure an accurate estimation of the dialect identification performa
Externí odkaz:
http://arxiv.org/abs/2212.07707
In this paper, we introduce FreSaDa, a French Satire Data Set, which is composed of 11,570 articles from the news domain. In order to avoid reporting unreasonably high accuracy rates due to the learning of characteristics specific to publication sour
Externí odkaz:
http://arxiv.org/abs/2104.04828
Publikováno v:
In Procedia Computer Science 2023 225:366-373
Autor:
Chifu, Adrian-Gabriel1 (AUTHOR) adrian.chifu@univ-amu.fr, Fournier, Sébastien1 (AUTHOR)
Publikováno v:
Mathematics (2227-7390). Nov2023, Vol. 11 Issue 22, p4647. 33p.
Autor:
Chifu, Adrian-Gabriel
Le domaine de la recherche d'information (RI) étudie la façon de trouver des informations pertinentes dans un ou plusieurs corpus, pour répondre à un besoin d'information. Dans un Système de Recherche d'Information (SRI) les informations cherch
Externí odkaz:
http://www.theses.fr/2015TOU30061/document
Publikováno v:
Open Computer Science, Vol 8, Iss 1, Pp 218-227 (2018)
Whether or not word sense disambiguation (WSD) can improve information retrieval (IR) results represents a topic that has been intensely debated over the years, with many inconclusive or contradictory conclusions. The most rarely used type of WSD for
Externí odkaz:
https://doaj.org/article/877a255210a743b0889d313647cdeeec
Publikováno v:
In Procedia Computer Science 2017 112:1711-1720