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Pierre Holat

2 accepted papers

2024

An Autoregressive Text-to-Graph Framework for Joint Entity and Relation Extraction

AAAI 2024technical

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. In contrast to conventional generative information extraction models that are left-to-right token-level generators, our approach is \te…

2024

GLiNER: Generalist Model for Named Entity Recognition using Bidirectional Transformer

NAACL 2024long

Named Entity Recognition (NER) is essential in various Natural Language Processing (NLP) applications. Traditional NER models are effective but limited to a set of predefined entity types. In contrast, Large Language Models (LLMs) can extract arbitrary entities through natural language instructions,…