Search Results for author: Yingjie Hu

Found 17 papers, 5 papers with code

TopoBERT: Plug and Play Toponym Recognition Module Harnessing Fine-tuned BERT

no code implementations31 Jan 2023 Bing Zhou, Lei Zou, Yingjie Hu, Yi Qiang, Daniel Goldberg

Extracting precise geographical information from textual contents is crucial in a plethora of applications.

Humanitarian Toponym Recognition

GeoAI at ACM SIGSPATIAL: The New Frontier of Geospatial Artificial Intelligence Research

no code implementations20 Oct 2022 Dalton Lunga, Yingjie Hu, Shawn Newsam, Song Gao, Bruno Martins, Lexie Yang, Xueqing Deng

Geospatial Artificial Intelligence (GeoAI) is an interdisciplinary field enjoying tremendous adoption.

Location reference recognition from texts: A survey and comparison

no code implementations4 Jul 2022 Xuke Hu, Zhiyong Zhou, Hao Li, Yingjie Hu, Fuqiang Gu, Jens Kersten, Hongchao Fan, Friederike Klan

Further, there lacks a comprehensive review and comparison of existing approaches for location reference recognition, which is the first and a core step of geoparsing.

Computational Efficiency Information Retrieval +2

The role of alcohol outlet visits derived from mobile phone location data in enhancing domestic violence prediction at the neighborhood level

no code implementations26 Feb 2022 Ting Chang, Yingjie Hu, Dane Taylor, Brian M. Quigley

In this study, we propose to derive information about the alcohol outlet visits of the residents of different neighborhoods from anonymized mobile phone location data, and investigate whether the derived visits can help better predict DV at the neighborhood level.

A Review of Location Encoding for GeoAI: Methods and Applications

no code implementations7 Nov 2021 Gengchen Mai, Krzysztof Janowicz, Yingjie Hu, Song Gao, Bo Yan, Rui Zhu, Ling Cai, Ni Lao

A common need for artificial intelligence models in the broader geoscience is to represent and encode various types of spatial data, such as points (e. g., points of interest), polylines (e. g., trajectories), polygons (e. g., administrative regions), graphs (e. g., transportation networks), or rasters (e. g., remote sensing images), in a hidden embedding space so that they can be readily incorporated into deep learning models.

Aligning geographic entities from historical maps for building knowledge graphs

no code implementations5 Dec 2020 Kai Sun, Yingjie Hu, Jia Song, Yunqiang Zhu

Despite their valuable content, it is often challenging to access and use the information in historical maps, due to their forms of paper-based maps or scanned images.

Knowledge Graphs

How do people describe locations during a natural disaster: an analysis of tweets from Hurricane Harvey

1 code implementation27 Sep 2020 Yingjie Hu, Jimin Wang

Social media platforms, such as Twitter, have been increasingly used by people during natural disasters to share information and request for help.

Are We There Yet? Evaluating State-of-the-Art Neural Network based Geoparsers Using EUPEG as a Benchmarking Platform

1 code implementation15 Jul 2020 Jimin Wang, Yingjie Hu

In June 2019, a geoparsing competition, Toponym Resolution in Scientific Papers, was held as one of the SemEval 2019 tasks.

Benchmarking Information Retrieval +3

Enhancing spatial and textual analysis with EUPEG: an extensible and unified platform for evaluating geoparsers

1 code implementation9 Jul 2020 Jimin Wang, Yingjie Hu

EUPEG is an open source and Web based benchmarking platform which hosts a majority of open corpora, geoparsers, and performance metrics reported in the literature.


Artificial Intelligence Approaches

no code implementations27 Aug 2019 Yingjie Hu, Wenwen Li, Dawn Wright, Orhun Aydin, Daniel Wilson, Omar Maher, Mansour Raad

Artificial Intelligence (AI) has received tremendous attention from academia, industry, and the general public in recent years.

BIG-bench Machine Learning

Geo-Text Data and Data-Driven Geospatial Semantics

no code implementations15 Sep 2018 Yingjie Hu

With a focus on data-driven research, this paper systematically reviews a large number of studies that have discovered multiple types of knowledge from geo-text data.

Extracting and Analyzing Semantic Relatedness between Cities Using News Articles

1 code implementation8 Sep 2018 Yingjie Hu, Xinyue Ye, Shih-Lung Shaw

Such co-occurrence often suggests certain relatedness between the mentioned cities, and the relatedness may be under different topics depending on the contents of the news articles.

An empirical study on the names of points of interest and their changes with geographic distance

1 code implementation21 Jun 2018 Yingjie Hu, Krzysztof Janowicz

While Points Of Interest (POIs), such as restaurants, hotels, and barber shops, are part of urban areas irrespective of their specific locations, the names of these POIs often reveal valuable information related to local culture, landmarks, influential families, figures, events, and so on.

Cultural Vocal Bursts Intensity Prediction Information Retrieval +1

Geospatial Semantics

no code implementations12 Jul 2017 Yingjie Hu

Geospatial semantics is a broad field that involves a variety of research areas.

Information Retrieval Retrieval

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