@inproceedings{4cd7236009f24bc6b8f5b1b4db9e53b1,
title = "Location mention detection in tweets and microblogs",
abstract = "The automatic identification of location expressions in social media text is an actively researched task. We present a novel approach to detection mentions of locations in the texts of microblogs and social media. We propose an approach based on Noun Phrase extraction and n-gram based matching instead of the traditional methods using Named Entity Recognition (NER) or Conditional Random Fields (CRF), arguing that our method is better suited to noisy microblog text. Our proposed system is comprised of several individual modules to detect addresses, Points of Interest (e.g. hospitals or universities), distance and direction markers; and location names (e.g. suburbs or countries). Our system won the ALTA 2014 Twitter Location Detection shared task with an F-score of 0.792 for detecting location expressions in a test set of 1,000 tweets, demonstrating its efficacy for this task. A number of directions for future work are discussed.",
keywords = "Location detection, Location identification, Microblog, Social media, Tweet, Twitter",
author = "Shervin Malmasi and Mark Dras",
year = "2016",
doi = "10.1007/978-981-10-0515-2_9",
language = "English",
isbn = "9789811005145",
volume = "593",
series = "Communications in Computer and Information Science",
publisher = "Springer, Springer Nature",
pages = "123--134",
editor = "K{\^o}iti Hasida and Ayu Purwarianti",
booktitle = "Computational Linguistics - 14th International Conference of the Pacific Association for Computaitonal Linguistics, PACLING 2015, Revised Selected Papers",
address = "United States",
note = "14th International Conference of the Pacific Association for Computaitonal Linguistics, PACLING 2015 ; Conference date: 19-05-2015 Through 21-05-2015",
}