A multi-strategy approach for location mining in tweets: AUT NLP Group entry for ALTA-2014 shared task
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 arc...
Main Authors: | Nand, P (Author), Perera, R (Author), Sreekumar, A (Author), Lingmin, H (Author) |
---|---|
Format: | Others |
Published: |
Association for Computational Linguistics (ACL),
2015-03-05T21:58:26Z.
|
Subjects: | |
Online Access: | Get fulltext |
Similar Items
-
A multi-strategy approach for location mining in Tweets: AUT NLP Group entry for ALTA-2014 shared task
by: Nand, P, et al.
Published: (2015) -
Overview of the ID, EPI and REL tasks of BioNLP Shared Task 2011
by: Pyysalo Sampo, et al.
Published: (2012-06-01) -
An evaluation of POS tagging for tweets using HMM modeling
by: Nand, P, et al.
Published: (2015) -
Argumentum ad Hominem: Aut Bonum aut Malum?
by: John Hoaglund
Published: (1984-01-01) -
Geo-Locating Tweets with Latent Location Information
by: Lee, Sunshin
Published: (2017)