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Found 8 papers, 1 papers with code
A Methodology for the Comparison of Human Judgments With Metrics for Coreference Resolution
We propose a method for investigating the interpretability of metrics used for the coreference resolution task through comparisons with human judgments.
Évaluation comparative de systèmes neuronal et statistique pour la résolution de coréférence en langage parlé (Comparative evaluation of neural and statistical coreference resolution on spoken language )
Nous présentons OFCoRS, un système de résolution de coréférence, basé sur le français parlé et un ensemble de modèles Random Forest.
BERTrade: Using Contextual Embeddings to Parse Old French
The successes of contextual word embeddings learned by training large-scale language models, while remarkable, have mostly occurred for languages where significant amounts of raw texts are available and where annotated data in downstream tasks have a relatively regular spelling.
Analyse en dépendances du français avec des plongements contextualisés (French dependency parsing with contextualized embeddings)
L’analyseur s’appuie sur de riches représentations lexicales issues notamment de BERT et de FASTTEXT.
CreoleVal: Multilingual Multitask Benchmarks for Creoles
Creoles represent an under-explored and marginalized group of languages, with few available resources for NLP research.
Hybrid Neural Models For Sequence Modelling: The Best Of Three Worlds
We propose a neural architecture with the main characteristics of the most successful neural models of the last years: bidirectional RNNs, encoder-decoder, and the Transformer model.
Seq2Biseq: Bidirectional Output-wise Recurrent Neural Networks for Sequence Modelling
During the last couple of years, Recurrent Neural Networks (RNN) have reached state-of-the-art performances on most of the sequence modelling problems.
