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.
- Pub Date:
- January 2019
- Computer Science - Computation and Language;
- Computer Science - Artificial Intelligence;
- Computer Science - Information Retrieval
- 7 pages, 4 figures, accepted by The Web Conf (WWW) 2019