Results 31 to 40 of about 370,742 (319)
Candidate Set Expansion for Entity and Relation Linking Based on Mutual Entity–Relation Interaction
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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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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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 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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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
openaire +2 more sources
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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Enhancement of Question Answering System Accuracy via Transfer Learning and BERT
Applied Sciences, 2022 Entity linking and predicate matching are two core tasks in the Chinese Knowledge Base Question Answering (CKBQA). Compared with the English entity linking task, the Chinese entity linking is extremely complicated, making accurate Chinese entity linking ...
Kai Duan +5 more
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MELArt: A Multimodal Entity Linking Dataset for Art [PDF]
Transactions on Graph Data and KnowledgeTraditional named entity linking (NEL) tools have largely employed a general-domain approach, spanning across various entity types such as persons, organizations, locations, and events in a multitude of contexts.
Sierra-Múnera, Alejandro +3 more
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RSVN: A RoBERTa Sentence Vector Normalization Scheme for Short Texts to Extract Semantic Information
Applied Sciences, 2022 With the explosive growth in short texts on the Web and an increasing number of Web corpora consisting of short texts, short texts are playing an important role in various Web applications.
Lei Gao +3 more
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