Results 21 to 30 of about 373,459 (274)
Entity linking for tweets [PDF]
Encyclopedia with Semantic Computing and Robotic Intelligence, 2017 Named Entity Linking (NEL) is the task of semantically annotating entity mentions in a portion of text with links to a knowledge base. The automatic annotation, which requires the recognition and disambiguation of the entity mention, usually exploits contextual clues like the context of usage and the coherence with respect to other entities. In Twitter,
Basile, Pierpaolo, Caputo, Annalina
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Military realm entity links based on improved editing distances [PDF]
Zhihui kongzhi yu fangzhen, 2023 In order to accurately link the entity references in the commander’s demand statement to the standardized entity nodes in the knowledge graph, an entity linking method in the military domain based on improved edit distance is proposed. By summarizing the
XIA Xudong, YU Ronghuan
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Entity generation algorithm based on reference expansion
Journal of Electronic Science and Technology, 2023 The extraction and understanding of text knowledge become increasingly crucial in the age of big data. One of the current research areas in the field of natural language processing (NLP) is how to accurately understand the text and collect accurate ...
Jia-Jia Ruan +3 more
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An Efficient Method for Biomedical Entity Linking Based on Inter- and Intra-Entity Attention
Applied Sciences, 2022 Biomedical entity linking is an important research problem for many downstream tasks, such as biomedical intelligent question answering, information retrieval, and information extraction.
Mamatjan Abdurxit +2 more
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Attention-Based Joint Entity Linking with Entity Embedding
Information, 2019 Entity linking (also called entity disambiguation) aims to map the mentions in a given document to their corresponding entities in a target knowledge base.
Chen Liu, Feng Li, Xian Sun, Hongzhe Han
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Proceedings of the Forum for Information Retrieval Evaluation on - FIRE '14, 2015 This paper analyzes two important conditions that are usually taken for granted in the evaluation of information retrieval systems: the test queries should be representative for the intended application scenario, and a sufficient amount of queries are needed to robustly assess system performance, as well as discern performance differences between ...
Mertens, Laurent +4 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.
Ceccarelli, Diego +4 more
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Learning Entity Linking Features for Emerging Entities
IEEE Transactions on Knowledge and Data Engineering, 2022 Entity linking (EL) is the process of linking entity mentions appearing in text with their corresponding entities in a knowledge base. EL features of entities (e.g., prior probability, relatedness score, and entity embedding) are usually estimated based on Wikipedia.
Chenwei Ran +5 more
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Entity Linking on Chinese Microblogs via Deep Neural Network
IEEE Access, 2018 Entity linking is the task of mapping mentions in text to target knowledge base, which is crucial to knowledge-base-related tasks such as knowledge fusion and knowledge base construction.
Weixin Zeng, Jiuyang Tang, Xiang Zhao
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Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, 2018 The availability of entity linking technologies provides a novel way to organize, categorize, and analyze large textual collections in digital libraries. However, in many situations a link to an entity offers only relatively coarse-grained semantic information.
Nanni, Federico +2 more
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