Reducing Confusion in Active Learning for Part-Of-Speech Tagging
AbstractActive learning (AL) uses a data selection algorithm to select useful training samples to minimize annotation cost. This is now an essential tool for building low-resource syntactic analyzers such as part-of-speech (POS) taggers. Existing AL heuristics are generally designed...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
The MIT Press
2021-01-01
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Series: | Transactions of the Association for Computational Linguistics |
Online Access: | https://direct.mit.edu/tacl/article/doi/10.1162/tacl_a_00350/97781/Reducing-Confusion-in-Active-Learning-for-Part-Of |