Results 31 to 40 of about 373,524 (318)
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 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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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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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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Big Data and Cognitive Computing, 2023 Entity and relation linking are the core tasks in knowledge base question answering (KBQA). They connect natural language questions with triples in the knowledge base.
Botao Zhang +4 more
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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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Entity Linking Based on Sentence Representation
Complexity, 2021 Entity linking involves mapping ambiguous mentions in documents to the correct entities in a given knowledge base. Most existing methods failed to link when a mention appears multiple times in a document, since the conflict of its contexts in different ...
Bingjing Jia +3 more
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Entity-Linking via Graph-Distance Minimization [PDF]
Electronic Proceedings in Theoretical Computer Science, 2014 Entity-linking is a natural-language–processing task that consists in identifying the entities mentioned in a piece of text, linking each to an appropriate item in some knowledge base; when the knowledge base is Wikipedia, the problem comes to be known ...
Roi Blanco, Paolo Boldi, Andrea Marino
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Combining Word and Entity Embeddings for Entity Linking [PDF]
, 2017 The correct identification of the link between an entity mention in a text and a known entity in a large knowledge base is important in information retrieval or information extraction. The general approach for this task is to generate, for a given mention, a set of candidate entities from the base and, in a second step, determine which is the best one.
Moreno, Jose G. +7 more
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