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An Entity Disambiguation Method Based on Deep Learning
Nantong Daxue xuebao. Ziran kexue ban, 2021 The traditional named entity disambiguation technology usually relies on rich context and knowledge of external entities. However, many emerging entities lack knowledge bases and the text containing entities is short.
WEN Wanzhi; JIANG Wenxuan; GE Wei; ZHU Kai; LI Xikai; WU Xuefei
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Chinese Short Text Entity Disambiguation Based on the Dual-Channel Hybrid Network
IEEE Access, 2020 Entity disambiguation refers to the accurate inference of the real mention of an entity with the same name according to the context. Most existing studies focused on long texts, for short texts, the performance has been unsatisfactory due to sparsity. In
Liting Jiang +4 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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Context-enhanced concept disambiguation in Wikification
Intelligent Systems with Applications, 2023 Wikification is a method to automatically enrich a text with links to Wikipedia as a knowledge base. One step in Wikification is detecting ambiguous mentions, and one other step is disambiguating those mentions.In this paper, we worked on the mention ...
Mozhgan Saeidi +3 more
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Entity Linking Based on Local Attention Mechanism for Chinese Short Text [PDF]
Jisuanji gongcheng, 2021 Entity linking is an effective method for strengthening semantic understanding and linking knowledge information to the text.However,the accuracy of most existing models in understanding the context is limited by the text length,so entity linking for ...
ZHANG Shengqi, WANG Yuanlong, LI Ru, WANG Xiaoyue, WANG Xiaohui, YAN Zhichao
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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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A semantic union model for open domain Chinese knowledge base question answering
Scientific Reports, 2023 In Open-domain Chinese Knowledge Base Question Answering (ODCKBQA), most common simple questions can be answered by a single relational fact in the knowledge base (KB).
Huibin Hao, Xiang-e Sun, Jian Wei
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Dexter: an open source framework for entity linking [PDF]
, 2013 We introduce Dexter, an open source framework for entity linking. The entity linking task aims at identifying all the small text fragments in a document referring to an entity contained in a given knowledge base, e.g., Wikipedia.
Lucchese, Claudio +14 more
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Entity Disambiguation Leveraging Multi-Perspective Attention
IEEE Access, 2019 Entity disambiguation aims to map mentions in text to the corresponding entities in a knowledge base, which is a basic task in natural language processing (NLP).
Chengzhi Wang +3 more
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Learning Relatedness Measures for Entity Linking [PDF]
, 2013 Entity Linking is the task of detecting, in text documents, relevant mentions to entities of a given knowledge base. To this end, entity-linking algorithms use several signals and features extracted from the input text or from the knowl- edge base.
Lucchese, Claudio +15 more
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