Hugues De Mazancourt

Also published as: Hugues de Mazancourt


2021

pdf bib
Yseop at FinSim-3 Shared Task 2021: Specializing Financial Domain Learning with Phrase Representations
Hanna Abi Akl | Dominique Mariko | Hugues de Mazancourt
Proceedings of the Third Workshop on Financial Technology and Natural Language Processing

pdf bib
A sequence to sequence transformer data logic experiment
Danxin Cui | Dominique Mariko | Estelle Labidurie | Hugues de Mazancourt | Patrick Paroubek
Proceedings of the 3rd Financial Narrative Processing Workshop

pdf bib
The Financial Document Causality Detection Shared Task (FinCausal 2021)
Dominique Mariko | Hanna Abi Akl | Estelle Labidurie | Stephane Durfort | Hugues de Mazancourt | Mahmoud El-Haj
Proceedings of the 3rd Financial Narrative Processing Workshop

pdf bib
Not All Titles are Created Equal: Financial Document Structure Extraction Shared Task
Anubhav Gupta | Hanna Abi Akl | Hugues de Mazancourt
Proceedings of the 3rd Financial Narrative Processing Workshop

2020

pdf bib
The Financial Document Causality Detection Shared Task (FinCausal 2020)
Dominique Mariko | Hanna Abi-Akl | Estelle Labidurie | Stephane Durfort | Hugues De Mazancourt | Mahmoud El-Haj
Proceedings of the 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation

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 relation extraction task (Task 2). A total of 16 teams submitted runs across the two Tasks and 13 of them contributed with a system description paper. This workshop is associated to the Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation (FNP-FNS 2020), held at The 28th International Conference on Computational Linguistics (COLING’2020), Barcelona, Spain on September 12, 2020.

2016

pdf bib
Un analyseur de conversations pour la relation client (Parsing email and chat conversations for customer support softwares)
Hugues de Mazancourt | Gaëlle Recourcé | Soufian Salim
Actes de la conférence conjointe JEP-TALN-RECITAL 2016. volume 5 : Démonstrations

Cette démonstration a pour objet de présenter l’utilisation d’un analyseur de conversations par email ou chat dans le cadre d’une application de support client : mise en valeur des demandes d’action, repérage des thèmes dangereux, tableau de bord pour le superviseur, alertes pour l’agent ...

2014

pdf bib
Evaluating corpora documentation with regards to the Ethics and Big Data Charter
Alain Couillault | Karën Fort | Gilles Adda | Hugues de Mazancourt
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

The authors have written the Ethic and Big Data Charter in collaboration with various agencies, private bodies and associations. This Charter aims at describing any large or complex resources, and in particular language resources, from a legal and ethical viewpoint and ensuring the transparency of the process of creating and distributing such resources. We propose in this article an analysis of the documentation coverage of the most frequently mentioned language resources with regards to the Charter, in order to show the benefit it offers.