Where on Earth Do Users Say They Are?: Geo-Entity Linking for Noisy Multilingual User Input

arXiv:2404.18784v1 Announce Type: new
Abstract: Geo-entity linking is the task of linking a location mention to the real-world geographic location. In this paper we explore the challenging task of geo-entity linking for noisy, multilingual social media data. There are few open-source multilingual geo-entity linking tools available and existing ones are often rule-based, which break easily in social media settings, or LLM-based, which are too expensive for large-scale datasets. We present a method which represents real-world locations as averaged embeddings from …

abstract arxiv cs.ai cs.cl data earth explore geo location media media data multilingual paper social social media social media data tools type world