1 code implementation • COLING 2020 • Rapha{\"e}l Sourty, Jose G. Moreno, Fran{\c{c}}ois-Paul Servant, Lynda Tamine-Lechani
Knowledge bases are increasingly exploited as gold standard data sources which benefit various knowledge-driven NLP tasks.
1 code implementation • 15 Dec 2021 • Tran Thi Hong Hanh, Antoine Doucet, Nicolas Sidere, Jose G. Moreno, Senja Pollak
Named entity recognition (NER) is an information extraction technique that aims to locate and classify named entities (e. g., organizations, locations,...) within a document into predefined categories.
1 code implementation • CONLL 2020 • Emanuela Boros, Ahmed Hamdi, Elvys Linhares Pontes, Luis Adri{\'a}n Cabrera-Diego, Jose G. Moreno, Nicolas Sidere, Antoine Doucet
This paper tackles the task of named entity recognition (NER) applied to digitized historical texts obtained from processing digital images of newspapers using optical character recognition (OCR) techniques.
1 code implementation • COLING 2022 • Jesus Lovon-Melgarejo, Jose G. Moreno, Romaric Besançon, Olivier Ferret, Lynda Tamine
Despite the success of state-of-the-art pre-trained language models (PLMs) on a series of multi-hop reasoning tasks, they still suffer from their limited abilities to transfer learning from simple to complex tasks and vice-versa.
1 code implementation • EACL (BSNLP) 2021 • Luis Adrián Cabrera-Diego, Jose G. Moreno, Antoine Doucet
We present a collection of Named Entity Recognition (NER) systems for six Slavic languages: Bulgarian, Czech, Polish, Slovenian, Russian and Ukrainian.
1 code implementation • 14 Apr 2021 • Emanuela Boros, Jose G. Moreno, Antoine Doucet
In this paper, we propose a recent and under-researched paradigm for the task of event detection (ED) by casting it as a question-answering (QA) problem with the possibility of multiple answers and the support of entities.
no code implementations • SEMEVAL 2019 • Jose G. Moreno, Yoann Pitarch, Karen Pinel-Sauvagnat, Gilles Hubert
This paper describes the Rouletabille participation to the Hyperpartisan News Detection task.
no code implementations • WS 2019 • Jose G. Moreno, Elvys Linhares Pontes, Mickael Coustaty, Antoine Doucet
This paper presents our participation at the shared task on multilingual named entity recognition at BSNLP2019.
Multilingual Named Entity Recognition named-entity-recognition +1
no code implementations • JEP/TALN/RECITAL 2021 • Houssam Akhmouch, Hamza Bouanani, Gaël Dias, Jose G. Moreno
Nous proposons une idée originale pour exploiter les relations entre les classes dans les problèmes multiclasses.
no code implementations • EACL (Hackashop) 2021 • Senja Pollak, Marko Robnik-Šikonja, Matthew Purver, Michele Boggia, Ravi Shekhar, Marko Pranjić, Salla Salmela, Ivar Krustok, Tarmo Paju, Carl-Gustav Linden, Leo Leppänen, Elaine Zosa, Matej Ulčar, Linda Freienthal, Silver Traat, Luis Adrián Cabrera-Diego, Matej Martinc, Nada Lavrač, Blaž Škrlj, Martin Žnidaršič, Andraž Pelicon, Boshko Koloski, Vid Podpečan, Janez Kranjc, Shane Sheehan, Emanuela Boros, Jose G. Moreno, Antoine Doucet, Hannu Toivonen
This paper presents tools and data sources collected and released by the EMBEDDIA project, supported by the European Union’s Horizon 2020 research and innovation program.
no code implementations • 4 Jul 2022 • Elvys Linhares Pontes, Mohamed Benjannet, Jose G. Moreno, Antoine Doucet
For the second sub-task, we combine the RoBERTa model with a feed-forward multi-layer perceptron in order to extract the context of sentences and classify them.
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 • 15 Dec 2023 • Jesús Lovón-Melgarejo, Jose G. Moreno, Romaric Besançon, Olivier Ferret, Lynda Tamine
In this work, we propose a task-agnostic evaluation method able to evaluate to what extent PLMs can capture complex taxonomy relations, such as ancestors and siblings.