no code implementations • JEP/TALN/RECITAL 2021 • Yoann Dupont, Carlos-Emiliano González-Gallardo, Gaël Lejeune, Alice Millour, Jean-Baptiste Tanguy
Dans la tâche d’identification de de profil clinique (tâche 1) nous présentons une méthode de recherche d’information basé sur un index dérivé du MeSH.
no code implementations • SemEval (NAACL) 2022 • Emanuela Boros, Carlos-Emiliano González-Gallardo, Jose Moreno, Antoine Doucet
Also, we consider that using additional contexts from the training set could improve the performance of a NER on short texts.
no code implementations • JEP/TALN/RECITAL 2022 • Ibtihel Ben Ltaifa, Toufik Boubehziz, Andrea Briglia, Corina Chutaux, Yoann Dupont, Carlos-Emiliano González-Gallardo, Caroline Koudoro-Parfait, Gaël Lejeune
Cet article présente la participation de l’équipe STyLO (STIH, L3I, OBTIC) au DÉfi Fouille de Textes 2022 (DEFT 2022).
no code implementations • 28 Sep 2023 • Julien Delaunay, Hanh Thi Hong Tran, Carlos-Emiliano González-Gallardo, Georgeta Bordea, Nicolas Sidere, Antoine Doucet
Document-level relation extraction (DocRE) is an active area of research in natural language processing (NLP) concerned with identifying and extracting relationships between entities beyond sentence boundaries.
1 code implementation • 30 Mar 2023 • Carlos-Emiliano González-Gallardo, Emanuela Boros, Nancy Girdhar, Ahmed Hamdi, Jose G. Moreno, Antoine Doucet
Large language models (LLMs) have been leveraged for several years now, obtaining state-of-the-art performance in recognizing entities from modern documents.
no code implementations • 14 Apr 2020 • Carlos-Emiliano González-Gallardo, Eric SanJuan, Juan-Manuel Torres-Moreno
In this paper we define the concept of Interestingness as a generalization of Informativeness, whereby the information need is diverse and formalized as an unknown set of implicit queries.
no code implementations • 20 Jan 2020 • Carlos-Emiliano González-Gallardo, Romain Deveaud, Eric SanJuan, Juan-Manuel Torres-Moreno
Our method, based on an extractive summarization approach, aims to select the most relevant segments until a time threshold is reached.
no code implementations • 4 Sep 2018 • Carlos-Emiliano González-Gallardo, Malek Hajjem, Eric SanJuan, Juan-Manuel Torres-Moreno
In this paper we propose a new approach to evaluate the informativeness of transcriptions coming from Automatic Speech Recognition systems.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +3
1 code implementation • 27 Aug 2018 • Carlos-Emiliano González-Gallardo, Juan-Manuel Torres-Moreno
Do standard evaluation metrics like precision, recall, F-score or classification error; and more important, evaluating an automatic system against a unique reference is enough to conclude how well a SBD system is performing given the final application of the transcript?
Automatic Speech Recognition Automatic Speech Recognition (ASR) +5
no code implementations • 13 Feb 2018 • Carlos-Emiliano González-Gallardo, Juan-Manuel Torres-Moreno
All three models have good F1 scores reaching values over 0. 97 regarding the "not sentence boundary" class.
no code implementations • 21 Feb 2017 • Carlos-Emiliano González-Gallardo, Juan-Manuel Torres-Moreno, Azucena Montes Rendón, Gerardo Sierra
In this paper we describe a dynamic normalization process applied to social network multilingual documents (Facebook and Twitter) to improve the performance of the Author profiling task for short texts.