Entity-fishing: A DARIAH Entity Recognition and Disambiguation Service
نویسندگان
چکیده
منابع مشابه
Joint Entity Recognition and Disambiguation
Extracting named entities in text and linking extracted names to a given knowledge base are fundamental tasks in applications for text understanding. Existing systems typically run a named entity recognition (NER) model to extract entity names first, then run an entity linking model to link extracted names to a knowledge base. NER and linking models are usually trained separately, and the mutua...
متن کاملJoint Named Entity Recognition and Disambiguation
Extracting named entities in text and linking extracted names to a given knowledge base are fundamental tasks in applications for text understanding. Existing systems typically run a named entity recognition (NER) model to extract entity names first, then run an entity linking model to link extracted names to a knowledge base. NER and linking models are usually trained separately, and the mutua...
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One of the long-standing challenges in natural language processing is uniquely identifying entities in text, which when performed accurately and with formal ontologies, supports efforts such as semantic search and question-answering. With the recent proliferation of comprehensive, formalized sources of knowledge (e.g., DBpedia, Freebase, OBO Foundry ontologies) and advancements in supportive Se...
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Named entity disambiguation is the task of linking an entity mention in a text to the correct real-world referent predefined in a knowledge base, and is a crucial subtask in many areas like information retrieval or topic detection and tracking. Named entity disambiguation is challenging because entity mentions can be ambiguous and an entity can be referenced by different surface forms. We prese...
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ژورنال
عنوان ژورنال: Journal of the Japanese Association for Digital Humanities
سال: 2020
ISSN: 2188-7276
DOI: 10.17928/jjadh.5.1_22