Papers with Geoparsing
GeospaCy: A tool for extraction and geographical referencing of spatial expressions in textual data (2024.eacl-demo)
Copied to clipboard
| Challenge: | Spatial information in text enables to understand the geographical context and relationships within text for location-sensitive applications. |
| Approach: | They propose to use spatial information extracted from textual data to perform geoparsing and geocoding tasks. |
| Outcome: | The GeospaCy software tool is designed for the extraction and georeferencing of spatial information present in textual data. |
Basreh or Basra? Geoparsing Historical Locations in the Svoboda Diaries (2024.acl-srw)
Copied to clipboard
| Challenge: | In the historical domain, many geoparsing corpora are from large news collections. |
| Approach: | They propose a pipeline employing named entity recognition for geotagging and a map-based generate-and-rank approach incorporating candidate name augmentation and clustering of location context words for geocoding. |
| Outcome: | The proposed pipeline outperforms existing map-based geoparsers in terms of accuracy, lowest mean distance error, and number of locations correctly identified. |
Arukikata Travelogue Dataset with Geographic Entity Mention, Coreference, and Link Annotation (2024.findings-eacl)
Copied to clipboard
Shohei Higashiyama, Hiroki Ouchi, Hiroki Teranishi, Hiroyuki Otomo, Yusuke Ide, Aitaro Yamamoto, Hiroyuki Shindo, Yuki Matsuda, Shoko Wakamiya, Naoya Inoue, Ikuya Yamada, Taro Watanabe
| Challenge: | et al., 2006) considers geographic relatedness among geo-entity mentions in document-level geoparsing. |
| Approach: | They present a Japanese travelogue dataset that considers geographic relatedness among geo-entity mentions. |
| Outcome: | The proposed dataset includes 200 travelogue documents with rich geo-entity information . it shows that human activities, mobility, and events are often described with natural language expressions of locations or geographic entities (geo-entities) |
Automatic Construction of a Large-Scale Corpus for Geoparsing Using Wikipedia Hyperlinks (2024.lrec-main)
Copied to clipboard
| Challenge: | Existing methods to evaluate geoparsing systems are small-scale and lack coverage of location expressions on general domains. |
| Approach: | They propose a method to construct a large-scale corpus for geoparsing from Wikipedia articles. |
| Outcome: | The proposed method can annotate multiple location expressions with coordinates even with ambiguous expressions. |