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2018 | OriginalPaper | Chapter

RetroC – A Corpus for Evaluating Temporal Classifiers

Authors : Filip Graliński, Piotr Wierzchoń

Published in: Human Language Technology. Challenges for Computer Science and Linguistics

Publisher: Springer International Publishing

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Abstract

We present a corpus for training and evaluating systems for the dating of Polish texts. A number of baselines (using year references, knowledge of spelling reforms and birth years) are given for the temporal classification task. We also show that the problem can be viewed as a regression problem and a standard supervised learning tool (Vowpal Wabbit) can be applied. So far, the best result has been achieved with supervised learning with word tokens and character 5-g as features. In addition, error analysis of the results obtained with the best solution are presented in this paper.

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previous chapter Parsing of Polish in Graph Database Environment

next chapter Reinvestigating the Classification Approach to the Article and Preposition Error Correction

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Title: RetroC – A Corpus for Evaluating Temporal Classifiers
Authors: Filip Graliński
Piotr Wierzchoń
Publisher: Springer International Publishing
Book: Human Language Technology. Challenges for Computer Science and Linguistics
Print ISBN: 978-3-319-93781-6

Electronic ISBN: 978-3-319-93782-3

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-319-93782-3_8

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