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pro vyhledávání: '"Mothe, Josiane"'
Autor:
Mothe, Josiane
Publikováno v:
Sigir Forum, 2024, 58 (1), pp.1-13
Isidore of Seville is credited with the adage that it is language that gives birth to a people, and not the other way around , underlining the profound role played by language in the formation of cultural and social identity. Today, of the more than
Externí odkaz:
http://arxiv.org/abs/2409.13702
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:
Hidalgo, Hèctor Loopez, Boeglin, Michel, Kahn, David, Mothe, Josiane, Ortiz, Diego, Panzoli, David
Semantic relations among entities are a widely accepted method for relation extraction. PromptORE (Prompt-based Open Relation Extraction) was designed to improve relation extraction with Large Language Models on generalistic documents. However, it is
Externí odkaz:
http://arxiv.org/abs/2406.00027
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
Autor:
Mothe, Josiane, Ullah, Md Zia
In information retrieval systems, search parameters are optimized to ensure high effectiveness based on a set of past searches and these optimized parameters are then used as the system configuration for all subsequent queries. A better approach, how
Externí odkaz:
http://arxiv.org/abs/2305.18311
Autor:
Mothe, Josiane, Ullah, Md Zia
Query processing in search engines can be optimized for use for all queries. For this, system component parameters such as the weighting function or the automatic query expansion model can be optimized or learned from past queries. However, it may be
Externí odkaz:
http://arxiv.org/abs/2302.11282
To date, query performance prediction (QPP) in the context of content-based image retrieval remains a largely unexplored task, especially in the query-by-example scenario, where the query is an image. To boost the exploration of the QPP task in image
Externí odkaz:
http://arxiv.org/abs/2302.10126
An aircraft conflict occurs when two or more aircraft cross at a certain distance at the same time. Specific air traffic controllers are assigned to solve such conflicts. A controller needs to consider various types of information in order to solve a
Externí odkaz:
http://arxiv.org/abs/2109.04767
The class distribution of data is one of the factors that regulates the performance of machine learning models. However, investigations on the impact of different distributions available in the literature are very few, sometimes absent for domain-spe
Externí odkaz:
http://arxiv.org/abs/2012.11684
Autor:
Dousset, Bernard, Mothe, Josiane
COVID-19 is one of the most important topic these days, specifically on search engines and news. While fake news are easily shared, scientific papers are reliable sources where information can be extracted. With about 24,000 scientific publications o
Externí odkaz:
http://arxiv.org/abs/2005.00485