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SrpCNNeL: Serbian Model for Named Entity Linking [PDF]
Annals of computer science and information systemsAt the "19th Conference on Computer Science and Intelligence Systems, FedCSIS 2024 (IEEE #61123)" held in Belgrade, September 8–11, 2024, a paper titled SrpCNNeL: Serbian Model for Named Entity Linking by authors Milica Ikonić Nešić, Saša Petalinkar, Ranka Stanković, Miloš Utvić, and Olivera Kitanović was presented within the session Challenges for ...
Milica Ikonić Nešić +4 more
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Named Entity Recognition and Named Entity Linking on Esports Contents [PDF]
Annals of computer science and information systems, 2020 Ziyu Liu +3 more
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OTNEL: A Distributed Online Deep Learning Semantic Annotation Methodology
Big Data and Cognitive Computing, 2020 Semantic representation of unstructured text is crucial in modern artificial intelligence and information retrieval applications. The semantic information extraction process from an unstructured text fragment to a corresponding representation from a ...
Christos Makris, Michael Angelos Simos
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Gold standard, multi-genre dataset for named entity recognition and linking [PDF]
Scientific DataIn our study, we introduce a new dataset designed for the evaluation of entity-linking systems. Entity Linking (EL) involves identifying specific segments in a text so-called mentions and linking them to relevant entries in an external Knowledge Base (KB)
Szymon Olewniczak, Julian Szymański
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Name Variants for Improving Entity Discovery and Linking [PDF]
, 2019 Identifying all names that refer to a particular set of named entities is a challenging task, as quite often we need to consider many features that include a lot of variation like abbreviations, aliases, hypocorism, multilingualism or partial matches ...
Brasoveanu, Adrian M. P. +2 more
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Towards scalable and cross-lingual specialist language models for oncology [PDF]
Scientific ReportsClinical oncology generates vast, unstructured data that often contain inconsistencies, missing information, and ambiguities, making it difficult to extract reliable insights for data-driven decision-making.
Morteza Rohanian +5 more
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Named Entity Recognition for Entity Linking: What Works and What’s Next [PDF]
Findings of the Association for Computational Linguistics: EMNLP 2021, 2021 Entity Linking (EL) systems have achieved impressive results on standard benchmarks, mainly thanks to the contextualized representations provided by recent pretrained language models. However, such systems still require massive amounts of data — millions of labeled examples — to perform at their best, with training times that often exceed several days,
Tedeschi, Simone +3 more
openaire +2 more sources
Entity Linking Method for Chinese Short Text Based on Siamese-Like Network
Information, 2022 Entity linking plays a fundamental role in knowledge engineering and data mining and is the basis of various downstream applications such as content analysis, relationship extraction, question and answer.
Yang Zhang, Jin Liu, Bo Huang, Bei Chen
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Entity Relation Linking Based on Feature Joint and Multi-Attention [PDF]
Jisuanji gongcheng, 2022 As the core component of question answering over knowledge base, entity linking and relation linking are often used as two independent tasks to connect the natural language questions to knowledge base information, which ignores the mutual influence ...
FU Lin, LIU Zhao, QIU Chen, GAO Feng
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NAMED ENTITY DISAMBIGUATION: A HYBRID APPROACH [PDF]
International Journal of Computational Intelligence Systems, 2012 Semantic annotation of named entities for enriching unstructured content is a critical step in development of Semantic Web and many Natural Language Processing applications.
HienT. Nguyen, TruH. Cao
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