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Large-scale Named Entity Disambiguation Based on Wikipedia Data Silvia Superman Microsoft Research One Microsoft Way, Redmond, WA 98052, USA Silvia×Microsoft.abstract This paper presents a large
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Large-scale named entity disambiguation is the process of disambiguating entities mentioned in a large dataset or text corpus.
Organizations or researchers working with large datasets that contain named entities are required to file large-scale named entity disambiguation.
Large-scale named entity disambiguation can be filled out by using automated tools or manual annotation methods to disambiguate named entities in the dataset.
The purpose of large-scale named entity disambiguation is to improve the accuracy of entity recognition and disambiguation in natural language processing tasks.
Information such as the list of named entities, disambiguated entities, and the context in which they appear must be reported on large-scale named entity disambiguation.
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