AUT LibraryAUT
View Item 
  •   Open Research
  • Faculties
  • Faculty of Design and Creative Technologies (Te Ara Auaha)
  • School of Engineering, Computer and Mathematical Sciences - Te Kura Mātai Pūhanga, Rorohiko, Pāngarau
  • View Item
  •   Open Research
  • Faculties
  • Faculty of Design and Creative Technologies (Te Ara Auaha)
  • School of Engineering, Computer and Mathematical Sciences - Te Kura Mātai Pūhanga, Rorohiko, Pāngarau
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

A multi-strategy approach for location mining in Tweets: AUT NLP Group entry for ALTA-2014 shared task

Nand, P; Perera, R; Lingmin, H
Thumbnail
View/Open
U14-1024.pdf (1.067Mb)
Permanent link
http://hdl.handle.net/10292/9104
Metadata
Show full metadata
Abstract
This paper describes the strategy and the results of a location mining system used for the ALTA-2014 shared task competition. The task required the participants to identify the location mentions in 1003 Twitter test messages given a separate annotated training set of 2000 messages. We present an architecture that uses a basic named entity recognizer in conjunction with various rule-based modules and knowledge infusion to achieve an average F score of 0.747 which won the second place in the competition. We used the pre-trained Stanford NER which gives us an F score of 0.532 and used an ensemble of other techniques to reach the 0.747 value. The other major source of location resolver was the DBpedia location list which was used to identify a large percentage of locations with an individual F-score of 0.935
Date
2014
Source
In Proceedings of Australasian Language Technology Association Workshop, pages 163−170.
Item Type
Conference Contribution
Publisher
Association for Computational Linguistics (ACL)
Publisher's Version
http://www.aclweb.org/anthology/U14-1024
Rights Statement
ACL materials are Copyright (C) 1963-2015 ACL; other materials are copyrighted by their respective copyright holders. All materials here are licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License . Permission is granted to make copies for the purposes of teaching and research.

Contact Us
  • Admin

Hosted by Tuwhera, an initiative of the Auckland University of Technology Library

 

 

Browse

Open ResearchTitlesAuthorsDateSchool of Engineering, Computer and Mathematical Sciences - Te Kura Mātai Pūhanga, Rorohiko, PāngarauTitlesAuthorsDate

Alternative metrics

 

Statistics

For this itemFor all Open Research

Share

 
Follow @AUT_SC

Contact Us
  • Admin

Hosted by Tuwhera, an initiative of the Auckland University of Technology Library