DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets
Computation and Language
2019-03-05 v3 Artificial Intelligence
Information Retrieval
Abstract
In recent years, with the prevalence of social media and smart devices, people causally reveal their locations such as shops, hotels, and restaurants in their tweets. Recognizing and linking such fine-grained location mentions to well-defined location profiles are beneficial for retrieval and recommendation systems. In this paper, we propose DLocRL, a new deep learning pipeline for fine-grained location recognition and linking in tweets, and verify its effectiveness on a real-world Twitter dataset.
Cite
@article{arxiv.1901.07005,
title = {DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets},
author = {Canwen Xu and Jing Li and Xiangyang Luo and Jiaxin Pei and Chenliang Li and Donghong Ji},
journal= {arXiv preprint arXiv:1901.07005},
year = {2019}
}
Comments
7 pages, 4 figures, accepted by The Web Conf (WWW) 2019; final version