Results 51 to 60 of about 3,831,007 (189)
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
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Application of Data Encryption in Chinese Named Entity Recognition
CoRR, 2022 Recently, with the continuous development of deep learning, the performance of named entity recognition tasks has been dramatically improved. However, the privacy and the confidentiality of data in some specific fields, such as biomedical and military, cause insufficient data to support the training of deep neural networks. In this paper, we propose an
Kaifang Long +7 more
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Decreasing lexical data sparsity in statistical syntactic parsing - experiments with named entities [PDF]
, 2011 In this paper we present preliminary experiments that aim to reduce lexical data sparsity in statistical parsing by exploiting information about named entities.
Foster, Jennifer +2 more
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An agent-based approach to Chinese named entity recognition [PDF]
Proceedings of the 19th international conference on Computational linguistics -, 2002 Chinese NE (Named Entity) recognition is a difficult problem because of the uncertainty in word segmentation and flexibility in language structure. This paper proposes the use of a rationality model in a multi-agent framework to tackle this problem. We employ a greedy strategy and use the NE rationality model to evaluate and detect all possible NEs in ...
Shiren Ye, Tat-Seng Chua, Jimin Liu
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CSMNER: A Toponym Entity Recognition Model for Chinese Social Media
ISPRS International Journal of Geo-InformationIn the era of information explosion, Chinese social media has become a repository for massive geographic information; however, its unique unstructured nature and diverse expressions are challenging to toponym entity recognition.
Yuyang Qi +6 more
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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
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Handling named entities and compound verbs in phrase-based statistical machine translation [PDF]
, 2010 Data preprocessing plays a crucial role in phrase-based statistical machine translation (PB-SMT). In this paper, we show how single-tokenization of two types of multi-word expressions (MWE), namely named entities (NE) and compound verbs, as well as ...
Way, Andy +4 more
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Towards large-scale, open-domain and ontology-based named entity classification [PDF]
, 2005 Cimiano P, Völker J. Towards large-scale, open-domain and ontology-based named entity classification. In: Angelova G, Bontcheva K, Mitkov R, Nicolov N, eds.
Völker, Johanna +5 more
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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
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Optimising Selective Sampling for Bootstrapping Named Entity Recognition [PDF]
, 2005 Training a statistical named entity recognition system in a new domain requires costly manual annotation of large quantities of in-domain data. Active learning promises to reduce the annotation cost by selecting only highly informative data points.
Hachey, Benjamin Clayton +5 more
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