Search Results for author: Jose G. Moreno

Found 16 papers, 5 papers with code

Can We Guide a Multi-Hop Reasoning Language Model to Incrementally Learn at Each Single-Hop?

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.

Language Modelling Multiple-choice +3

Using contextual sentence analysis models to recognize ESG concepts

no code implementations4 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.

Named entity recognition architecture combining contextual and global features

1 code implementation15 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.

named-entity-recognition NER

Event Detection as Question Answering with Entity Information

no code implementations14 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.

Event Detection Language Modelling +1

Alleviating Digitization Errors in Named Entity Recognition for Historical Documents

no code implementations 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.

named-entity-recognition NER +1

Cannot find the paper you are looking for? You can Submit a new open access paper.