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pro vyhledávání: '"Ferret, Olivier"'
In this article, we describe the architecture of the LIMA (Libre Multilingual Analyzer) framework and its recent evolution with the addition of new text analysis modules based on deep neural networks. We extended the functionality of LIMA in terms of
Externí odkaz:
http://arxiv.org/abs/2409.06550
Knowledge-based Visual Question Answering about Named Entities is a challenging task that requires retrieving information from a multimodal Knowledge Base. Named entities have diverse visual representations and are therefore difficult to recognize. W
Externí odkaz:
http://arxiv.org/abs/2401.05736
Since Pretrained Language Models (PLMs) are the cornerstone of the most recent Information Retrieval (IR) models, the way they encode semantic knowledge is particularly important. However, little attention has been given to studying the PLMs' capabil
Externí odkaz:
http://arxiv.org/abs/2312.09670
Publikováno v:
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024, pp. 2890-2899
The progress in the generation of synthetic images has made it crucial to assess their quality. While several metrics have been proposed to assess the rendering of images, it is crucial for Text-to-Image (T2I) models, which generate images based on a
Externí odkaz:
http://arxiv.org/abs/2307.05134
We present a new pre-training method, Multimodal Inverse Cloze Task, for Knowledge-based Visual Question Answering about named Entities (KVQAE). KVQAE is a recently introduced task that consists in answering questions about named entities grounded in
Externí odkaz:
http://arxiv.org/abs/2301.04366
Autor:
Ferret, Olivier
Many studies were recently done for investigating the properties of contextual language models but surprisingly, only a few of them consider the properties of these models in terms of semantic similarity. In this article, we first focus on these prop
Externí odkaz:
http://arxiv.org/abs/2111.12174
Publikováno v:
In: Jose J. et al. (eds) Advances in Information Retrieval. ECIR 2020. Lecture Notes in Computer Science, vol 12035. Springer, Cham
In many information extraction applications, entity linking (EL) has emerged as a crucial task that allows leveraging information about named entities from a knowledge base. In this paper, we address the task of multimodal entity linking (MEL), an em
Externí odkaz:
http://arxiv.org/abs/2104.03236
Autor:
Boukkouri, Hicham El, Ferret, Olivier, Lavergne, Thomas, Noji, Hiroshi, Zweigenbaum, Pierre, Tsujii, Junichi
Due to the compelling improvements brought by BERT, many recent representation models adopted the Transformer architecture as their main building block, consequently inheriting the wordpiece tokenization system despite it not being intrinsically link
Externí odkaz:
http://arxiv.org/abs/2010.10392
Autor:
Rudnik, Charlotte, Ehrhart, Thibault, Ferret, Olivier, Teyssou, Denis, Troncy, Raphaël, Tannier, Xavier
Publikováno v:
WikiWorkshop at The Web Conference 2019
News agencies produce thousands of multimedia stories describing events happening in the world that are either scheduled such as sports competitions, political summits and elections, or breaking events such as military conflicts, terrorist attacks, n
Externí odkaz:
http://arxiv.org/abs/1904.05557
Autor:
Ferret, Olivier
Le système ANTHAPSI a été conçu dans le but d'apprendre de manière automatique des connaissances sur les situations prototypiques du monde à partir de textes. Afin que ce processus d'apprentissage soit le plus général possible, ANTHAPSI se pl
Externí odkaz:
http://tel.archives-ouvertes.fr/tel-00189116
http://tel.archives-ouvertes.fr/docs/00/18/91/16/PDF/these-finale.pdf
http://tel.archives-ouvertes.fr/docs/00/18/91/16/PDF/these-finale.pdf