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A distantly supervised method for extracting spatio-temporal information from text
- Source :
- SIGSPATIAL/GIS
- Publication Year :
- 2016
- Publisher :
- ACM, 2016.
-
Abstract
- This paper describes Triplex-ST, a novel information extraction system for collecting spatio-temporal information from textual resources. Triplex-ST is based on a distantly supervised approach, which leverages rich linguistic annotations together with information in existing knowledge bases. In particular, we leverage triples associated with temporal and/or spatial contexts, e.g., as available from the YAGO knowledge base, so as to infer templates that capture new facts from previously unseen sentences.
- Subjects :
- Information retrieval
business.industry
Computer science
010401 analytical chemistry
02 engineering and technology
computer.software_genre
01 natural sciences
0104 chemical sciences
Geographic information retrieval
Information extraction
Text mining
Knowledge base
020204 information systems
0202 electrical engineering, electronic engineering, information engineering
Leverage (statistics)
business
Temporal information
computer
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
- Accession number :
- edsair.doi...........4d161f71f1b12c3a98576f5e8aefed4c
- Full Text :
- https://doi.org/10.1145/2996913.2996967