Language Independent Feature Extractor

Authors

  • Young-Seob Jeong Korea Advanced Institute of Science and Technology (KAIST)
  • Ho-Jin Choi Korea Advanced Institute of Science and Technology (KAIST)

DOI:

https://doi.org/10.1609/aaai.v29i1.9719

Keywords:

language independent feature, topic model, hidden markov model

Abstract

We propose a new customizable tool, Language Independent Feature Extractor (LIFE), which models the inherent patterns of any language and extracts relevant features of thelanguage. There are two contributions of this work: (1) no labeled data is necessary to train LIFE (It works when a sufficient number of unlabeled documents are given), and (2) LIFE is designed to be applicable to any language. We proved the usefulness of LIFE by experimental results of time information extraction.

AAAI 2015 Proceedings Cover

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Published

2015-03-04

How to Cite

Jeong, Y.-S., & Choi, H.-J. (2015). Language Independent Feature Extractor. Proceedings of the AAAI Conference on Artificial Intelligence, 29(1). https://doi.org/10.1609/aaai.v29i1.9719

Issue

Vol. 29 No. 1 (2015): Twenty-Ninth AAAI Conference on Artificial Intelligence

Section

Student Abstract Track