Less is More, More or Less... Finding the Optimal Threshold for Lexicalization in Chunking

Authors

  • Balazs Indig Pázmány Péter Catholic University, Faculty of Information Technology and Bionics, Budapest

DOI:

https://doi.org/10.13053/cys-21-4-2866

Keywords:

Phrase chunking, IOB labels, multiple IOB representations, sequential tagging, CRF

Abstract

Lexicalization of the input of sequential taggers has gone a long way since it was invented by Molina and Pla [4]. In this paper we thoroughly investigate the method introduced by Indig and Endredy [2] to find out ´ the best lexicalization level for chunking and to explore the behavior of different IOB representations. Both tasks are applied to the CoNLL-2000 dataset. Our goal is to introduce a transformation method to accommodate the parameters of the development set to the training set using their frequency distributions which other tasks like POS tagging or NER could benefit too.

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Published

2017-12-23

Issue

Vol. 21 No. 4 (2017): Advances in Human Language Technologies (Guest Editor: A. Gelbukh)

Section

Articles of the Thematic Issue

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