Results 11 to 20 of about 318,446 (310)
Named Entity Recognition in Bengali
Northern European Journal of Language Technology, 2010 This paper reports about a multi-engine approach for the development of a Named Entity Recognition (NER) system in Bengali by combining the classifiers such as Maximum Entropy (ME), Conditional Random Field (CRF) and Support Vector Machine (SVM) with ...
Asif Ekbal, Sivaji Bandyopadhyay
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Named Entity Recognition and Named Entity Linking on Esports Contents [PDF]
Annals of computer science and information systems, 2020 Ziyu Liu +3 more
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Named entity recognition [PDF]
Proceedings of the 19th international conference on Computational linguistics -, 2002 This paper presents a maximum entropy-based named entity recognizer (NER). It differs from previous machine learning-based NERs in that it uses information from the whole document to classify each word, with just one classifier. Previous work that involves the gathering of information from the whole document often uses a secondary classifier, which ...
Hai Leong Chieu, Hwee Tou Ng
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Named Entity Recognition - Is There a Glass Ceiling? [PDF]
Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), 2019 Accepted to CoNLL ...
Stanislawek, Tomasz +4 more
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Named Entity Extraction for Knowledge Graphs: A Literature Overview
IEEE Access, 2020 An enormous amount of digital information is expressed as natural-language (NL) text that is not easily processable by computers. Knowledge Graphs (KG) offer a widely used format for representing information in computer-processable form. Natural Language
Tareq Al-Moslmi +3 more
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Named Entity Recognition Using Conditional Random Fields
Applied Sciences, 2022 Named entity recognition (NER) is an important task in natural language processing, as it is widely featured as a key information extraction sub-task with numerous application areas.
Wahab Khan +5 more
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Neural Architectures for Named Entity Recognition [PDF]
Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2016 State-of-the-art named entity recognition systems rely heavily on hand-crafted features and domain-specific knowledge in order to learn effectively from the small, supervised training corpora that are available. In this paper, we introduce two new neural architectures---one based on bidirectional LSTMs and conditional random fields, and the other that ...
Lample, Guillaume +4 more
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Multi-grained Named Entity Recognition [PDF]
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019 In ACL 2019 as a long ...
Xia, Congying +8 more
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Spanish named entity recognition in the biomedical domain [PDF]
, 2018 Named Entity Recognition in the clinical domain and in languages different from English has the difficulty of the absence of complete dictionaries, the informality of texts, the polysemy of terms, the lack of accordance in the boundaries of an entity ...
Cotik, Viviana +2 more
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Named entity evolution recognition on the Blogosphere [PDF]
International Journal on Digital Libraries, 2014 Advancements in technology and culture lead to changes in our language. These changes create a gap between the language known by users and the language stored in digital archives. It affects user's possibility to firstly find content and secondly interpret that content. In previous work we introduced our approach for Named Entity Evolution Recognition~(
Helge Holzmann +2 more
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