Search Results for author: Jose G. Moreno

Found 18 papers, 8 papers with code

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 Named Entity Recognition +1

Alleviating Digitization Errors in Named Entity Recognition for Historical Documents

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.

named-entity-recognition Named Entity Recognition +3

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

Event Detection as Question Answering with Entity Information

1 code implementation14 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

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.

Sentence

Yes but.. Can ChatGPT Identify Entities in Historical Documents?

1 code implementation30 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.

named-entity-recognition Named Entity Recognition +1

Probing Pretrained Language Models with Hierarchy Properties

no code implementations15 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.

Hypernym Discovery Information Retrieval +2

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