GIPSY: automated geographic indexing of text documents
Journal of the American Society for Information Science - Special issue: spatial information
Efficient processing of window queries in the pyramid data structure
PODS '90 Proceedings of the ninth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Machine Learning
Use of the SAND spatial browser for digital government applications
Communications of the ACM
Disambiguating Geographic Names in a Historical Digital Library
ECDL '01 Proceedings of the 5th European Conference on Research and Advanced Technology for Digital Libraries
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Web-a-where: geotagging web content
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
HLT-NAACL-GEOREF '03 Proceedings of the HLT-NAACL 2003 workshop on Analysis of geographic references - Volume 1
A confidence-based framework for disambiguating geographic terms
HLT-NAACL-GEOREF '03 Proceedings of the HLT-NAACL 2003 workshop on Analysis of geographic references - Volume 1
Geospatial Anchoring of Encyclopedia Articles
IV '06 Proceedings of the conference on Information Visualization
Disambiguating toponyms in news
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
STEWARD: architecture of a spatio-textual search engine
Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems
International Journal of Geographical Information Science
Extracting and Exploring the Geo-Temporal Semantics of Textual Resources
ICSC '08 Proceedings of the 2008 IEEE International Conference on Semantic Computing
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Classifying Documents According to Locational Relevance
EPIA '09 Proceedings of the 14th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
Geotagging: using proximity, sibling, and prominence clues to understand comma groups
Proceedings of the 6th Workshop on Geographic Information Retrieval
Proceedings of the 6th Workshop on Geographic Information Retrieval
Geographical classification of documents using evidence from Wikipedia
Proceedings of the 6th Workshop on Geographic Information Retrieval
Grounding toponyms in an Italian local news corpus
Proceedings of the 6th Workshop on Geographic Information Retrieval
Extraction and exploration of spatio-temporal information in documents
Proceedings of the 6th Workshop on Geographic Information Retrieval
A scalable machine-learning approach for semi-structured named entity recognition
Proceedings of the 19th international conference on World wide web
Determining the spatial reader scopes of news sources using local lexicons
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
An efficient location extraction algorithm by leveraging web contextual information
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
Ontuition: intuitive data exploration via ontology navigation
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
Adapting a map query interface for a gesturing touch screen interface
Proceedings of the 20th international conference companion on World wide web
Simple supervised document geolocation with geodesic grids
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Inferring and using location metadata to personalize web search
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Multifaceted toponym recognition for streaming news
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Supporting rapid processing and interactive map-based exploration of streaming news
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
TweetPhoto: photos from news tweets
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
Proceedings of the First ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems
Duking it out at the smartphone mobile app mapping API corral: Apple, Google, and the competition
Proceedings of the First ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems
The role of location for family reunification during disasters
Proceedings of the First ACM SIGSPATIAL International Workshop on Use of GIS in Public Health
The picture of health: map-based, collaborative spatio-temporal disease tracking
Proceedings of the First ACM SIGSPATIAL International Workshop on Use of GIS in Public Health
Structured toponym resolution using combined hierarchical place categories
Proceedings of the 7th Workshop on Geographic Information Retrieval
GeoTxt: a web API to leverage place references in text
Proceedings of the 7th Workshop on Geographic Information Retrieval
PhotoStand: a map query interface for a database of news photos
Proceedings of the VLDB Endowment
Seeder finder: identifying additional needles in the Twitter haystack
Proceedings of the 6th ACM SIGSPATIAL International Workshop on Location-Based Social Networks
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News sources around the world generate constant streams of information, but effective streaming news retrieval requires an intimate understanding of the geographic content of news. This process of understanding, known as geotagging, consists of first finding words in article text that correspond to location names (toponyms), and second, assigning each toponym its correct lat/long values. The latter step, called toponym resolution, can also be considered a classification problem, where each of the possible interpretations for each toponym is classified as correct or incorrect. Hence, techniques from supervised machine learning can be applied to improve accuracy. New classification features to improve toponym resolution, termed adaptive context features, are introduced that consider a window of context around each toponym, and use geographic attributes of toponyms in the window to aid in their correct resolution. Adaptive parameters controlling the window's breadth and depth afford flexibility in managing a tradeoff between feature computation speed and resolution accuracy, allowing the features to potentially apply to a variety of textual domains. Extensive experiments with three large datasets of streaming news demonstrate the new features' effectiveness over two widely-used competing methods.