Results 11 to 20 of about 18,552 (91)
Approaches to disambiguating toponyms [PDF]
Many approaches have been proposed in recent years in the context of Geographic Information Retrieval (GIR), mostly in order to deal with geographically constrained information in un-structured texts. Most of these approaches share a common scheme: in order to disambiguate a toponym t with n ...
Buscaldi, Davide
core +5 more sources
Improving Toponym Disambiguation by Iteratively Enhancing Certainty of Extraction. [PDF]
Named entity extraction (NEE) and disambiguation (NED) have received much attention in recent years. Typical fields addressing these topics are information retrieval, natural language processing, and semantic web. This paper addresses two problems with toponym extraction and disambiguation (as a representative example of named entities).
Habib, Mena Badieh, van Keulen, Maurice
core +6 more sources
Should We Ask an LLM? Evaluating Toponym Disambiguation across Administrative Levels
Abstract. Toponym disambiguation, determining which real-world location a place name refers to, is a critical step in geoparsing pipelines, yet existing evaluations mix disambiguation quality with the behavior of downstream geocoders through distance-based metrics.
Franz Welscher +3 more
openaire +4 more sources
Disambiguating toponyms in news [PDF]
This research is aimed at the problem of disambiguating toponyms (place names) in terms of a classification derived by merging information from two publicly available gazetteers. To establish the difficulty of the problem, we measured the degree of ambiguity, with respect to a gazetteer, for toponyms in news.
Eric Garbin, Inderjeet Mani
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Abstract Unlike English, there is no natural separator‐like gap between words in Chinese, which makes Chinese word segmentation (CWS) a difficult information processing problem. At present, geological texts contain a large number of unregistered geological terms, and the existing rule‐based methods and machine‐learning and deep learning algorithms ...
Dongqi Wei +7 more
wiley +1 more source
Text‐analysis reveals taxonomic and geographic disparities in animal pollination literature
Ecological systematic reviews and meta‐analyses have significantly increased our understanding of global biodiversity decline. However, for some ecological groups, incomplete and biased datasets have hindered our ability to construct robust, predictive models. One such group consists of the animal pollinators.
Joseph W. Millard +2 more
wiley +1 more source
Are nearby places (e.g., cities) described by related words? In this article, we transfer this research question in the field of lexical encoding of geographic information onto the level of intertextuality. To this end, we explore Volunteered Geographic Information (VGI) to model texts addressing places at the level of cities or regions with the help ...
Alexander Mehler +5 more
wiley +1 more source
Human spatial concepts, such as the concept of place, are not immediately translatable to the geometric foundations of spatial databases and information systems developed over the past 50 years. These systems typically rest on the concepts of objects and fields, both bound to coordinates, as two general paradigms of geographic representation. The match
Ross S. Purves +2 more
wiley +1 more source
Toponym Disambiguation in Information Retrieval [PDF]
In recent years, geography has acquired a great importance in the context of Information Retrieval (IR) and, in general, of the automated processing of information in text. Mobile devices that are able to surf the web and at the same time inform about their position are now a common reality, together with applications that can exploit this data to ...
openaire +2 more sources
Datasets for toponym recognition and disambiguation for nineteenth-century English newspapers
We present two datasets, one for the task of toponym recognition and one for the task of toponym disambiguation. The datasets are derived from the "Dataset for Toponym Resolution in Nineteenth-Century English Newspapers" (DOI: https://doi.org/10.23636 ...
Coll Ardanuy, Mariona, Nanni, Federico
core

