eprintid: 1886
rev_number: 9
eprint_status: archive
userid: 290
dir: disk0/00/00/18/86
datestamp: 2016-11-14 02:37:03
lastmod: 2016-11-14 02:37:03
status_changed: 2016-11-14 02:37:03
type: conference_item
metadata_visibility: show
creators_name: Le, Hong Phuong
creators_name: Phan, Xuan Hieu
creators_name: Tran, The Trung
creators_id: phuonglh@vnu.edu.vn
creators_id: hieupx@vnu.edu.vn
creators_id: trung@fpt.edu.vn
title: On the effect of the label bias problem in part-of-speech tagging
ispublished: pub
subjects: IT
divisions: fac_fit
abstract: This paper investigates the effect of the label bias problem of maximum entropy Markov models for part-of-speech tagging, a typical sequence prediction task in natural language processing. This problem has been underexploited and underappreciated. The investigation reveals useful information about the entropy of local transition probability distributions of the tagging model which enables us to exploit and quantify the label bias effect of part-of-speech tagging. Experiments on a Vietnamese treebank and on a French treebank show a significant effect of the label bias problem in both of the languages.
date: 2013-11
date_type: published
official_url: http://doi.org/10.1109/RIVF.2013.6719875
id_number: doi:10.1109/RIVF.2013.6719875
contact_email: hieupx@vnu.edu.vn
full_text_status: none
pres_type: paper
pagerange: 103-108
event_title: The 2013 IEEE RIVF International Conference on Computing and Communication Technologies, Research, Innovation, and Vision for the Future (RIVF)
event_location: Hanoi, Vietnam
event_dates: 10-13 November 2013
event_type: conference
refereed: TRUE
book_title: The 2013 RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF)
funders: VNU-HUS
projects: TN-12-02
citation:   Le, Hong Phuong and Phan, Xuan Hieu and Tran, The Trung  (2013) On the effect of the label bias problem in part-of-speech tagging.  In: The 2013 IEEE RIVF International Conference on Computing and Communication Technologies, Research, Innovation, and Vision for the Future (RIVF), 10-13 November 2013, Hanoi, Vietnam.