SNEToolkit: Spatial named entities disambiguation toolkit
نویسندگان
چکیده
منابع مشابه
Robust Disambiguation of Named Entities in Text
Disambiguating named entities in naturallanguage text maps mentions of ambiguous names onto canonical entities like people or places, registered in a knowledge base such as DBpedia or YAGO. This paper presents a robust method for collective disambiguation, by harnessing context from knowledge bases and using a new form of coherence graph. It unifies prior approaches into a comprehensive framewo...
متن کاملAGDISTIS - Graph-Based Disambiguation of Named Entities Using Linked Data
Over the last decades, several billion Web pages have been made available on the Web. The ongoing transition from the current Web of unstructured data to the Web of Data yet requires scalable and accurate approaches for the extraction of structured data in RDF (Resource Description Framework) from these websites. One of the key steps towards extracting RDF from text is the disambiguation of nam...
متن کاملAGDISTIS - Agnostic Disambiguation of Named Entities Using Linked Open Data
Over the last decades, several billion Web pages have been made available on the Web. The ongoing transition from the current Web of unstructured data to the Data Web yet requires scalable and accurate approaches for the extraction of structured data in RDF (Resource Description Framework) from these websites. One of the key steps towards extracting RDF from text is the disambiguation of named ...
متن کاملMultilingual Disambiguation of Named Entities Using Linked Data
One key step towards extracting structured data from unstructured data sources is the disambiguation of entities. With AGDISTIS, we provide a time-efficient, state-of-the-art, knowledge-base-agnostic and multilingual framework for the disambiguation of RDF resources. The aim of this demo is to present the English, German and Chinese version of our framework based on DBpedia. We show the results...
متن کاملGrounding Spatial Named Entities For Information Extraction And Question Answering
The task of named entity annotation of unseen text has recently been successfully automated with near-human performance. But the full task involves more than annotation, i.e. identifying the scope of each (continuous) text span and its class (such as place name). It also involves grounding the named entity (i.e. establishing its denotation with respect to the world or a model). The latter aspec...
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ژورنال
عنوان ژورنال: SoftwareX
سال: 2023
ISSN: ['2352-7110']
DOI: https://doi.org/10.1016/j.softx.2023.101480