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In this paper, we present our approaches for the FinSim-3 Shared Task 2021: Learning Semantic Similarities for the Financial Domain. The aim of this shared task is to correctly classify a list of given terms from the financial domain into the most re
Externí odkaz:
http://arxiv.org/abs/2108.09485
Autor:
Mariko, Dominique, Akl, Hanna Abi, Labidurie, Estelle, Durfort, Stéphane, de Mazancourt, Hugues, El-Haj, Mahmoud
We present the FinCausal 2020 Shared Task on Causality Detection in Financial Documents and the associated FinCausal dataset, and discuss the participating systems and results. Two sub-tasks are proposed: a binary classification task (Task 1) and a r
Externí odkaz:
http://arxiv.org/abs/2012.02505
This document explains the annotation schemes used to label the data for the FinCausal Shared Task (Mariko et al., 2020). This task is associated to the Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation (FNP-FNS 2
Externí odkaz:
http://arxiv.org/abs/2012.02498
Autor:
Loth, Romain, Battistelli, Delphine, Chaumartin, François-Régis, de Mazancourt, Hugues, Minel, Jean-Luc, Vinckx, Axelle
Publikováno v:
RIAO 2010
9th international conference on Adaptivity, Personalization and Fusion of Heterogeneous Information
9th international conference on Adaptivity, Personalization and Fusion of Heterogeneous Information, Apr 2010, Paris, France. pp.300-303
9th international conference on Adaptivity, Personalization and Fusion of Heterogeneous Information
9th international conference on Adaptivity, Personalization and Fusion of Heterogeneous Information, Apr 2010, Paris, France. pp.300-303
International audience; As a text, each job advertisement expresses rich information about the occupation at hand, such as competence needs (i.e. required degrees, field knowledge, task expertise or technical skills). To facilitate the access to this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2f086489fc090dfe15bed97412e87c96
https://halshs.archives-ouvertes.fr/halshs-00480840
https://halshs.archives-ouvertes.fr/halshs-00480840
Autor:
Ach, Laurent, Durieu, Laurent, Morel, Benoit, Chevreau, Karine, de Mazancourt, Hugues, Normier, Bernard, Pelachaud, Catherine, Pez, André-Marie
Publikováno v:
Intelligent Technologies for Interactive Entertainment (9783642302138); 2012, p240-242, 3p