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Showing 1 to 7 of 7 for “"Entity disambiguation"”.
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Evaluating automated and hybrid neural disambiguation for African historical named entities
… This problem may be alleviated by using a Named Entity Disambiguation (NED) system to disambiguate names by linking them to a knowledge base. In recent years, transformer-based language models have led to improvements in NED systems. Furthermore, multilingual language models have shown the …
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Information Extraction from Scientific Literature
… taxonomies, generating persistent errors in entity disambiguation. Second, structural heterogeneity manifests through hundreds of distinct methodological description formats observed even within focused disciplines like materials science, complicating pattern generalization. Third, contextual …
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Entity Information Extraction using Structured and Semi-structured resources
… the tasks that exist in Information Extraction, Entity Linking, also referred to as entity disambiguation or entity resolution, is a new and important problem which has recently caught the attention of a lot of researchers in the Natural Language Processing (NLP) community. The task involves …
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Extending Wikification: Nominal discovery, nominal linking, and the grounding of nouns
Mention discovery, entity linking, and grounding are crucial steps in natural language understanding. Compared with named entities, the detection and linking of nominals are relatively little studied but essential since the grounding of nouns enriches information for humans that read documents. In …
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NumNER: Numerical named entity recognition in scientific literature
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-04-12 without embargo terms
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Concept and entity grounding using indirect supervision
… English and the goal is to identify concept and entity mentions, and find the corresponding entries the mentions refer to in Wikipedia. We extend this problem in two directions: First, we study identifying and grounding entities written in any language to the English Wikipedia. Second, we …
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Encyclopaedic Question Answering
Open-domain question answering (QA) is an established NLP task which enables users to search for speciVc pieces of information in large collections of texts. Instead of using keyword-based queries and a standard information retrieval engine, QA systems allow the use of natural language questions …