1 code implementation • ACL 2022 • Urchade Zaratiana, Nadi Tomeh, Pierre Holat, Thierry Charnois
There are two main paradigms for Named Entity Recognition (NER): sequence labelling and span classification.
no code implementations • 18 Apr 2024 • Urchade Zaratiana, Nadi Tomeh, Yann Dauxais, Pierre Holat, Thierry Charnois
Joint entity and relation extraction plays a pivotal role in various applications, notably in the construction of knowledge graphs.
no code implementations • 18 Apr 2024 • Urchade Zaratiana, Nadi Tomeh, Niama El Khbir, Pierre Holat, Thierry Charnois
Information extraction (IE) is an important task in Natural Language Processing (NLP), involving the extraction of named entities and their relationships from unstructured text.
1 code implementation • 2 Jan 2024 • Urchade Zaratiana, Nadi Tomeh, Pierre Holat, Thierry Charnois
In this paper, we propose a novel method for joint entity and relation extraction from unstructured text by framing it as a conditional sequence generation problem.
1 code implementation • 29 Nov 2023 • Urchade Zaratiana, Nadi Tomeh, Niama El Khbir, Pierre Holat, Thierry Charnois
Semi-Markov CRF has been proposed as an alternative to the traditional Linear Chain CRF for text segmentation tasks such as Named Entity Recognition (NER).
1 code implementation • 14 Nov 2023 • Urchade Zaratiana, Nadi Tomeh, Pierre Holat, Thierry Charnois
Named Entity Recognition (NER) is essential in various Natural Language Processing (NLP) applications.
1 code implementation • 26 Oct 2022 • Urchade Zaratiana, Niama El Khbir, Dennis Núñez, Pierre Holat, Nadi Tomeh, Thierry Charnois
Extractive question answering (ExQA) is an essential task for Natural Language Processing.
Ranked #2 on Question Answering on NaturalQA (F1 metric)
1 code implementation • 28 Mar 2022 • Urchade Zaratiana, Pierre Holat, Nadi Tomeh, Thierry Charnois
The task of Named Entity Recognition (NER) is an important component of many natural language processing systems, such as relation extraction and knowledge graph construction.
no code implementations • JEPTALNRECITAL 2016 • Pierre Holat, Nadi Tomeh, Thierry Charnois, Delphine Battistelli, Marie-Christine Jaulent, Jean-Philippe M{\'e}tivier
Dans cet article, nous nous int{\'e}ressons {\`a} l{'}extraction d{'}entit{\'e}s m{\'e}dicales de type sympt{\^o}me dans les textes biom{\'e}dicaux.
no code implementations • JEPTALNRECITAL 2015 • Pierre Holat, Nadi Tomeh, Thierry Charnois
En classification de textes, la plupart des m{\'e}thodes fond{\'e}es sur des classifieurs statistiques utilisent des mots, ou des combinaisons de mots contigus, comme descripteurs.