Results 11 to 20 of about 370,742 (319)
Entity Linking with Distributional Semantics [PDF]
, 2016 [Abstract] Entity Linking (EL) consists in linking name mentions in a given text with their referring entities in external knowledge bases such as DBpedia/Wikipedia. In this paper, we propose an EL approach whose main contribution is to make use of a knowledge base built by means of distributional similarity.
Gamallo, Pablo, García, Marcos
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SynEL: A synthetic benchmark for entity linking. [PDF]
PLoS ONELarge language models (LLMs) offer significant potential for constructing commonsense knowledge graphs from text, demonstrating adaptability across diverse domains.
Ilia Karpov +9 more
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Expressive power of entity-linking frameworks [PDF]
Journal of Computer and System Sciences, 2019 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Douglas Burdick +4 more
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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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Neural Collective Entity Linking
, 2018 Entity Linking aims to link entity mentions in texts to knowledge bases, and neural models have achieved recent success in this task. However, most existing methods rely on local contexts to resolve entities independently, which may usually fail due to the data sparsity of local information.
CAO, Yixin +3 more
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Leveraging Entity Linking to Enhance Entity Recognition in Microblogs
Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2015 The Web of Data provides abundant knowledge wherein objects or entities are described by means of properties and their relationships with other objects or entities. This knowledge is used extensively by the research community for Information Extraction tasks such as Named Entity Recognition (NER) and Linking (NEL) to make sense of data.
Pikakshi Manchanda +2 more
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Pair-Linking for Collective Entity Disambiguation: Two Could Be Better Than All [PDF]
, 2018 Collective entity disambiguation aims to jointly resolve multiple mentions by linking them to their associated entities in a knowledge base. Previous works are primarily based on the underlying assumption that entities within the same document are highly
Minh C. Phan +4 more
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Short Text Entity Linking Method Based on Multi-Task Learning [PDF]
Jisuanji gongcheng, 2022 Entity linking is an important means to clarify the entity reference in the text, and the rise of the knowledge graph has prompted the development of entity linking technology, including playing an important role in question answering and information ...
ZHAN Fei, ZHU Yanhui, LIANG Wentong, ZHANG Xu, OUYANG Kang, KONG Lingwei, HUANG Yalin
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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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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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