Papers with OSM
SPOT: Bridging Natural Language and Geospatial Search for Investigative Journalism (2025.acl-demo)
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| Challenge: | Existing tools to query OSM data require familiarity with complex query languages, creating barriers for non-technical users. |
| Approach: | They propose to use a semantic bundling system to make querying OSM more accessible through intuitive scene descriptions. |
| Outcome: | The proposed system interprets user inputs as structured representations of geospatial object configurations using fine-tuned Large Language Models (LLMs) with results displayed in an interactive map interface. |
Location Name Extraction from Targeted Text Streams using Gazetteer-based Statistical Language Models (C18-1)
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| Challenge: | Location name extraction tool (LNEx) is a statistical language for extracting location names from informal and unstructured social media data. |
| Approach: | They propose a location name extraction tool that extracts location names from social media data . they use n-gram statistics and location-related dictionaries to evaluate an observed n in targeted text . |
| Outcome: | The proposed tool outperforms state-of-the-art taggers on 4,500 event-specific tweets . it improves the average F-Score by 33-179%, outperforming all tagger . |