• Named Entity Recognition without Labelled Data: A Weak Supervision Approach 

      Lison, Pierre; Barnes, Jeremy; Hubin, Aliaksandr; Touileb, Samia (Chapter, 2020)
      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 is available, transfer learning techniques ...
    • skweak: Weak Supervision Made Easy for NLP 

      Lison, Pierre; Barnes, Jeremy; Hubin, Aliaksandr (Chapter, 2021)
      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 machine learning paradigm based on a simple idea: ...