Results 21 to 30 of about 179,841 (273)
Enhancing Named Entity Recognition in Twitter Messages Using Entity Linking [PDF]
Proceedings of the Workshop on Noisy User-generated Text, 2015 In this paper, we describe our approach for Named Entity Recognition in Twitter, a shared task for ACL 2015 Workshop on Noisy User-generated Text (Baldwin et al., 2015). Because of the noisy, short, and colloquial nature of Twitter, the performance of Named Entity Recognition (NER) degrades significantly.
Ikuya Yamada +2 more
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BMC Bioinformatics, 2018 Background For automated reading of scientific publications to extract useful information about molecular mechanisms it is critical that genes, proteins and other entities be correctly associated with uniform identifiers, a process known as named entity ...
John A. Bachman +2 more
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NER in Archival Finding Aids: Extended
Machine Learning and Knowledge Extraction, 2022 The amount of information preserved in Portuguese archives has increased over the years. These documents represent a national heritage of high importance, as they portray the country’s history.
Luís Filipe da Costa Cunha +1 more
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Improving Named Entity Linking Corpora Quality
Proceedings - Natural Language Processing in a Deep Learning World, 2019 Gold standard corpora and competitive evaluations play a key role in benchmarking named entity linking (NEL) performance and driving the development of more sophisticated NEL systems. The quality of the used corpora and the used evaluation metrics are crucial in this process.
Weichselbraun, Albert +3 more
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Flabase: towards the creation of a flamenco music knowledge base [PDF]
, 2015 Online information about flamenco music is scattered overdifferent sites and knowledge bases. Unfortunately, thereis no common repository that indexes all these data. Inthis work, information related to flamenco music is gath-ered from general
Gómez Gómez, Francisco +5 more
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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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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
core +2 more sources
Framing Named Entity Linking Error Types
Proc. 11th Edition of the Language Resources and Evaluation Conference (LREC 2018), 2018 Named Entity Linking (NEL) and relation extraction forms the backbone of Knowledge Base Population tasks. The recent rise of large open source Knowledge Bases and the continuous focus on improving NEL performance has led to the creation of automated benchmark solutions during the last decade.
Brasoveanu, Adrian M. P. +4 more
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Few-shot entity linking of food names
Information Processing & Management, 2023 Entity linking (EL), the task of automatically matching mentions in text to concepts in a target knowledge base, remains under-explored when it comes to the food domain, despite its many potential applications, e.g., finding the nutritional value of ingredients in databases.
Darius Feher +6 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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