Contextualised Word Representations
4 papers with code • 0 benchmarks • 0 datasets
Benchmarks
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Most implemented papers
Analysing Lexical Semantic Change with Contextualised Word Representations
This paper presents the first unsupervised approach to lexical semantic change that makes use of contextualised word representations.
A Tale of a Probe and a Parser
FranxYao/PoincareProbe
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ACL 2020
One such probe is the structural probe (Hewitt and Manning, 2019), designed to quantify the extent to which syntactic information is encoded in contextualised word representations.
MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models
cambridgeltl/mirrorwic
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CoNLL (EMNLP) 2021
Recent work indicated that pretrained language models (PLMs) such as BERT and RoBERTa can be transformed into effective sentence and word encoders even via simple self-supervised techniques.
Soft-prompt tuning to predict lung cancer using primary care free-text Dutch medical notes
aumc-kik/prompt_tuning_cancer_prediction
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We investigate different natural language processing (NLP) approaches based on contextualised word representations for the problem of early prediction of lung cancer using free-text patient medical notes of Dutch primary care physicians.
