Search Results for author: Loïc Grobol

Found 8 papers, 1 papers with code

A Methodology for the Comparison of Human Judgments With Metrics for Coreference Resolution

no code implementations HumEval (ACL) 2022 Mariya Borovikova, Loïc Grobol, Anaïs Halftermeyer, Sylvie Billot

We propose a method for investigating the interpretability of metrics used for the coreference resolution task through comparisons with human judgments.


BERTrade: Using Contextual Embeddings to Parse Old French

no code implementations LREC 2022 Loïc Grobol, Mathilde Regnault, Pedro Ortiz Suarez, Benoît Sagot, Laurent Romary, Benoit Crabbé

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.

Dependency Parsing POS +3

Hybrid Neural Models For Sequence Modelling: The Best Of Three Worlds

no code implementations16 Sep 2019 Marco Dinarelli, Loïc Grobol

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

no code implementations9 Apr 2019 Marco Dinarelli, Loïc Grobol

During the last couple of years, Recurrent Neural Networks (RNN) have reached state-of-the-art performances on most of the sequence modelling problems.

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