Results 11 to 20 of about 179,841 (273)
Named Entity Extraction for Knowledge Graphs: A Literature Overview
IEEE Access, 2020 An enormous amount of digital information is expressed as natural-language (NL) text that is not easily processable by computers. Knowledge Graphs (KG) offer a widely used format for representing information in computer-processable form. Natural Language
Tareq Al-Moslmi +3 more
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Analysis of named entity recognition and linking for tweets [PDF]
Information Processing & Management, 2015 35 pages, accepted to journal Information Processing and ...
Derczynski, L. +7 more
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Zero-shot evaluation of ChatGPT for food named-entity recognition and linking
Frontiers in NutritionIntroductionRecognizing and extracting key information from textual data plays an important role in intelligent systems by maintaining up-to-date knowledge, reinforcing informed decision-making, question-answering, and more.
Matevž Ogrinc +3 more
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Strong Heuristics for Named Entity Linking
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop, 2022 Named entity linking (NEL) in news is a challenging endeavour due to the frequency of unseen and emerging entities, which necessitates the use of unsupervised or zero-shot methods. However, such methods tend to come with caveats, such as no integration of suitable knowledge bases (like Wikidata) for emerging entities, a lack of scalability, and poor ...
Čuljak, Marko +3 more
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Personal Entity, Concept, and Named Entity Linking in Conversations
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022 Building conversational agents that can have natural and knowledge-grounded interactions with humans requires understanding user utterances. Entity Linking (EL) is an effective and widely used method for understanding natural language text and connecting it to external knowledge.
Joko, H., Hasibi, F.
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Linking Named Entities in Dutch Historical Newspapers [PDF]
, 2016 We improved access to the collection of Dutch historical newspapers of the Koninklijke Bibliotheek by linking named entities in the newspaper articles to corresponding Wikidata descriptions by means of machine learning techniques and crowdsourcing. Indexing the Wikidata identifiers for named entities together with the newspaper articles opens up new ...
van Veen, Theo +2 more
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CovidPubGraph: A FAIR Knowledge Graph of COVID-19 Publications
Scientific Data, 2022 Measurement(s) COVID-19-related publications Technology Type(s) named entity recognition, entity linking and link discovery ...
Svetlana Pestryakova +6 more
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Joint Learning of Named Entity Recognition and Entity Linking [PDF]
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2019 Named entity recognition (NER) and entity linking (EL) are two fundamentally related tasks, since in order to perform EL, first the mentions to entities have to be detected. However, most entity linking approaches disregard the mention detection part, assuming that the correct mentions have been previously detected.
Martins, Pedro Henrique +2 more
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Journal of Cheminformatics, 2020 Background Named Entity Linking systems are a powerful aid to the manual curation of digital libraries, which is getting increasingly costly and inefficient due to the information overload.
Pedro Ruas +2 more
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Named Entity Linking with Entity Representation by Multiple Embeddings
, 2022 12 pages, 14 figures, 2 ...
Vasilyev, Oleg +3 more
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