Results 11 to 20 of about 259 (134)

Geotagging a diachronic corpus of alpine texts: comparing distinct approaches to toponym recognition [PDF]

Proceedings of the Workshop on Language Technology for Digital Historical Archives - with a Special Focus on Central-, (South-)Eastern Europe, Middle East and North Africa, 2019
Geotagging historic and cultural texts provides valuable access to heritage data, enabling location-based searching and new geographically related discoveries.
Meraner, Isabel, Clematide, Simon; https://orcid.org/, Shaitarova, Anastassia, Kew, Tannon, Goldzycher, Janis, Volk, Martin; https://orcid.org/   +5 more
core   +3 more sources

Multifaceted toponym recognition for streaming news [PDF]

Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval, 2011
News sources on the Web generate constant streams of information, describing many aspects of the events that shape our world. In particular, geography plays a key role in the news, and enabling geographic retrieval of news articles involves recognizing the textual references to geographic locations (called toponyms) present in the articles, which can ...
Hanan Samet, Michael D. Lieberman
core   +2 more sources

Extracting locations from sport and exercise-related social media messages using a neural network-based bilingual toponym recognition model [PDF]

Journal of Spatial Information Science, 2022
Sport and exercise contribute to health and well-being in cities. While previous research has mainly focused on activities at specific locations such as sport facilities, "informal sport" that occur at arbitrary locations across the city have been ...
Liu, Pengyuan, Väisänen, Tuomas, Hasanen, Elina, Salmikangas, Anna Katriina, Tuuli Toivonen, Tuomas Vaisanen, Pyykönen, Janne, Ilkka Virmasalo, Nurmi, Marisofia Kaarina, Pengyuan Liu, Mikko Simula, Väisänen, Tuomas Lauri Aleksanteri, Janne Pyykonen, Hiippala, Tuomo, Virmasalo, Ilkka, Koivisto, Sonja Maria, Kirsi Vehkakoski, Elina Hasanen, Petteri Muukkonen, Sonja Koivisto, Anna-Katriina Salmikangas, Koivisto, Sonja, Toivonen, Tuuli, Muukkonen, Petteri, Vehkakoski, Kirsi, Van der Lijn, Charlotte Jacoba Cornelia, Salmikangas, Anna-Katriina, Marisofia Nurmi, Simula, Mikko, Charlotte Van der Lijn, Tuomo Hiippala, van der Lijn, Charlotte, Nurmi, Marisofia   +32 more
core   +7 more sources

Toponym Recognition in Scanned Color Topographic Maps

Ninth International Conference on Document Analysis and Recognition (ICDAR 2007), 2007
International audienceTopographic paper maps are a common support for geographical information. In the field of document analysis of this kind of support, this paper proposes an automatic approach to extract and recognize toponyms. We present a technique
Guitton, Pascal, Gonzato, Jean-Christophe, Pouderoux, Joachim, Pereira, Aurélien   +3 more
core   +4 more sources

MINING INFLUENTIAL TERMS FOR TOPONYM RECOGNITION AND RESOLUTION

Revista Brasileira de Cartografia, 2018
The detection of toponyms present in text has appeared as a useful resource for many diff erent applications, such as for social network analysers and for geographic search engines. The variety of ambiguities present in the geoparsing process represents
Campelo, Cláudio E. C., Baptista, Cláudio de Souza, Jerônimo, Caio Libânio Melo   +2 more
core   +4 more sources

How can voting mechanisms improve the robustness and generalizability of toponym disambiguation?

International Journal of Applied Earth Observation and Geoinformation, 2023
Natural language texts, such as tweets and news, contain a vast amount of geospatial information, which can be extracted by first recognizing toponyms in texts (toponym recognition) and then identifying their geospatial representations (toponym ...
Xuke Hu, Yeran Sun, Jens Kersten
exaly   +2 more sources

Resolving Ambiguities in Toponym Recognition in Cartographic Maps

, 2004
To date many methods and programs for automatic text recognition exist. However there are no effective text recognition systems for graphic documents. Graphic documents usually contain a great variety of textual information. As a rule the text appears in arbitrary spatial positions, in different fonts, sizes and colors.
Serguei Levachkine, Sang-Yong Han, Alexander Gelbukh   +2 more
core   +2 more sources

Improving toponym recognition accuracy of historical topographic maps [PDF]

Automatic Vectorisation of Historical Maps: International workshop organized by the ICA Commission on Cartographic Heritage into the Digital. Budapest – 13 March, 2020, 2020
Milleville, Kenzo, Van de Weghe, Nico, Steven Verstockt, Kenzo Milleville, Nico van de Weghe, Verstockt, Steven   +5 more
core   +3 more sources

How can voting mechanisms improve the robustness and generalizability of toponym disambiguation? [PDF]

, 2022
A vast amount of geospatial information exists in natural language texts, such as tweets and news. Extracting geospatial information from texts is called Geoparsing, which includes two subtasks: toponym recognition and toponym disambiguation, i.e., to ...
Kersten, Jens; https://orcid.org/, Zhou, Zhiyong, Kersten, Jens, Klan, Friederike, Fan, Hongchao, Hu, Xuke, Zhou, Zhiyong; https://orcid.org/, Sun, Yeran, Fan, Hongchao; https://orcid.org/   +8 more
core   +1 more source

Illustration of toponym recognition.

, 2021
(a) Thresholded image using the △E metric for the automated identification of text and toponym markers. (b) Identified map text labels (in green) and toponym marker points (in red).
Karim Bahgat (11725798), Dan Runfola (11105068)   +1 more
core   +1 more source