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pro vyhledávání: '"Karthik Muthuraman"'
Publikováno v:
Proceedings of the Second Workshop on Data Science with Human in the Loop: Language Advances.
Human-in-the-loop systems for cleaning NLP training data rely on automated sieves to isolate potentially-incorrect labels for manual review. We have developed a novel technique for flagging potentially-incorrect labels with high sensitivity in named
Publikováno v:
CoNLL
The CoNLL-2003 corpus for English-language named entity recognition (NER) is one of the most influential corpora for NER model research. A large number of publications, including many landmark works, have used this corpus as a source of ground truth
Autor:
Alex Bozarth, Karthik Muthuraman, Patrick Titzler, Daniel Jalova, Gabriela de Queiroz, Vijay Bommireddipalli, Nick Pentreath, Simon Plovyt, Xin Wu, Fei Hu, Hong Xu, Brendan Dwyer, Frederick Reiss, Saishruthi Swaminathan
A recent trend observed in traditionally challenging fields such as computer vision and natural language processing has been the significant performance gains shown by deep learning (DL). In many different research fields, DL models have been evolvin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d73cd00325a2cafc85b34988c05ec336