Results 101 to 110 of about 175 (119)

Toponym recognition on Turkish tweets

2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014
In recent years, Twitter has become a popular platform for following and spreading trends, news and ideas all over the world. Geographical scope of tweets is crucial to many tasks like disaster management, event tracking and information retrieval. First step for assigning a geographical location to a tweet is toponym recognition.
Ruket Çakici
exaly   +2 more sources

Resolving Ambiguities in Toponym Recognition in Cartographic Maps

Lecture Notes in Computer Science, 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.
Alexander Gelbukh   +2 more
exaly   +2 more sources

ChineseTR: A weakly supervised toponym recognition architecture based on automatic training data generator and deep neural network

Transactions in GIS, 2022
AbstractToponym recognition is used to extract toponyms from natural language texts, which is a fundamental task of ubiquitous geographic information applications. Existing toponym recognition methods with state‐of‐the‐art performance mainly leverage supervised learning (i.e., deep‐learning‐based approaches) with parameters learned from massive ...
Qinjun Qiu, Kai Sun, Yunqiang Zhu
exaly   +2 more sources

Toponym Recognition in Social Media for Estimating the Location of Events

2015 IEEE International Conference on Data Mining Workshop (ICDMW), 2015
Prominence of social media such as Twitter and Facebook led to a huge collection of data over which event detection provides useful results. An important dimension of event detection is location estimation for detected events. Social media provides a variety of clues for location, such as geographical annotation from smart devices, location field in ...
Meryem Sagcan, Pinar Karagoz
openaire   +1 more source

Deep Learning for Chinese Toponym Recognition: A BiLSTM-CRF Based Approach

2025 6th International Conference on Computer Engineering and Application (ICCEA)
Peng Ye
exaly   +2 more sources

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