Informace o publikaci

KernelTagger – a PoS Tagger for Very Small Amount of Training Data

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RYCHLÝ Pavel

Rok publikování 2017
Druh Článek ve sborníku
Konference Proceedings of the Eleventh Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2017
Fakulta / Pracoviště MU

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Obor Informatika
Klíčová slova PoS tagging; morphological tagging; language model; Czech
Popis The paper describes a new Part of speech (PoS) tagger which can learn a PoS tagging language model from very short annotated text with the use of much bigger non-annotated text. Only several sentences could be used for training to achieve much better accuracy than a baseline. The results cannot be compared to the results of state-of-the-art taggers but it could be used during the annotation process for a pre-annotation.
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