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20182026
most citedAn adaptive simulated annealing EM algorithm for inference on non-homogeneous hidden Markov models

4 citations · 8 across the 8 of their papers we have counts for

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cs.CL2021

skweak: Weak Supervision Made Easy for NLP

Pierre Lison, Jeremy Barnes, Aliaksandr Hubin

We present skweak, a versatile, Python-based software toolkit enabling NLP developers to apply weak supervision to a wide range of NLP tasks. Weak supervision is an emerging machin…

cs.CL2020

Named Entity Recognition without Labelled Data: A Weak Supervision Approach

Pierre Lison, Aliaksandr Hubin, Jeremy Barnes +1

Named Entity Recognition (NER) performance often degrades rapidly when applied to target domains that differ from the texts observed during training. When in-domain labelled data i…