Results 41 to 50 of about 2,584,993 (291)
Biomedical Named Entity Recognition at Scale [PDF]
, 2021 Named entity recognition (NER) is a widely applicable natural language processing task and building block of question answering, topic modeling, information retrieval, etc. In the medical domain, NER plays a crucial role by extracting meaningful chunks from clinical notes and reports, which are then fed to downstream tasks like assertion status ...
Veysel Kocaman, David Talby
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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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Code and Named Entity Recognition in StackOverflow [PDF]
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020 updated with better results. (To appear in ACL 2020)
Jeniya Tabassum +3 more
openaire +3 more sources
Transfer learning for Turkish named entity recognition on noisy text [PDF]
, 2019 This is an accepted manuscript of an article published by Cambridge University Press in Natural Language Engineering on 28/01/2020, available online: https://doi.org/10.1017/S1351324919000627 The accepted version of the publication may differ from the ...
Can, Burcu, Kagan Akkaya, E
core +1 more source
Attention-Based End-To-End Named Entity Recognition From Speech
, 2021 | openaire: EC/H2020/780069/EU//MeMADNamed entities are heavily used in the field of spoken language understanding, which uses speech as an input. The standard way of doing named entity recognition from speech involves a pipeline of two systems, where ...
Mikko Kurimo +5 more
core +1 more source
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.
Lucchese, Claudio +15 more
core +1 more source
FEBS Letters, EarlyView.How do genomes gain new functional parts? In eukaryotes, which tend to evolve under weak selection, much of the genome is junk. Palazzo and Qiu borrow the logic of Markov chains to show how non‐functional DNA becomes functional through the appearance of intermediate states, which arise due to epistasis, buffering, and biochemical messiness, allowing ...
Alexander F. Palazzo, Yi Qiu
wiley +1 more source
An automatically built named entity lexicon for Arabic [PDF]
, 2010 We have successfully adapted and extended the automatic Multilingual, Interoperable Named Entity Lexicon approach to Arabic, using Arabic WordNet (AWN) and Arabic Wikipedia (AWK).
Attia, Mohammed +4 more
core +2 more sources
Cross-Lingual Named Entity Recognition Based on Attention and Adversarial Training
Applied Sciences, 2023 Named entity recognition aims to extract entities with specific meaning from unstructured text. Currently, deep learning methods have been widely used for this task and have achieved remarkable results, but it is often difficult to achieve better results
Hao Wang +3 more
doaj +1 more source
Chinese Overlapping Named Entity Recognition Method Based on Label Clustering [PDF]
Jisuanji gongcheng, 2020 To address complex nested relations between named entities and overlapping boundaries of adjacent named entities caused by mislabeling in corpus,this paper proposes a method of Chinese overlapping Named Entity Recognition(NER).First,a hierarchical ...
WEN Xiuxiu, MA Chao, GAO Yuanyuan, KANG Zilu
doaj +1 more source