21 citations · 25 across the 7 of their papers we have counts for
7 papers
A Static Pruning Study on Sparse Neural Retrievers
Carlos Lassance, Simon Lupart, Hervé Dejean +2
Sparse neural retrievers, such as DeepImpact, uniCOIL and SPLADE, have been introduced recently as an efficient and effective way to perform retrieval with inverted indexes. They a…
Parameter-Efficient Sparse Retrievers and Rerankers using Adapters
Vaishali Pal, Carlos Lassance, Hervé Déjean +1
Parameter-Efficient transfer learning with Adapters have been studied in Natural Language Processing (NLP) as an alternative to full fine-tuning. Adapters are memory-efficient and…
Comparing Machine Learning Approaches for Table Recognition in Historical Register Books
Stéphane Clinchant, Hervé Déjean, Jean-Luc Meunier +2
We present in this paper experiments on Table Recognition in hand-written registry books. We first explain how the problem of row and column detection is modeled, and then compare…
Bench-Marking Information Extraction in Semi-Structured Historical Handwritten Records
Animesh Prasad, Hervé Déjean, Jean-Luc Meunier +3
In this report, we present our findings from benchmarking experiments for information extraction on historical handwritten marriage records Esposalles from IEHHR - ICDAR 2017 robus…
Learning Computational Grammars
John Nerbonne, Anja Belz, Nicola Cancedda +7
This paper reports on the "Learning Computational Grammars" (LCG) project, a postdoc network devoted to studying the application of machine learning techniques to grammars suitable…
Introduction to the CoNLL-2001 Shared Task: Clause Identification
Erik F. Tjong Kim Sang, Herve Dejean
We describe the CoNLL-2001 shared task: dividing text into clauses. We give background information on the data sets, present a general overview of the systems that have taken part…