Results 11 to 20 of about 254,529 (285)
Incorporating named entity recognition into the speech transcription process [PDF]
Interspeech 2013, 2013 Named Entity Recognition (NER) from speech usually involves two sequential steps: transcribing the speech using Automatic Speech Recognition (ASR) and annotating the outputs of the ASR process using NER techniques. Recognizing named entities in automatic transcripts is difficult due to the presence of transcription errors and the absence of some ...
Mohamed Hatmi +3 more
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A BERT-BiGRU-CRF Model for Entity Recognition of Chinese Electronic Medical Records
Complexity, 2021 Because of difficulty processing the electronic medical record data of patients with cerebrovascular disease, there is little mature recognition technology capable of identifying the named entity of cerebrovascular disease.
Qiuli Qin, Shuang Zhao, Chunmei Liu
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A Boundary Assembling Method for Nested Biomedical Named Entity Recognition
IEEE Access, 2020 Biomedical named entity recognition (BNER) is an important task in biomedical natural language processing, in which neologisms (new terms, words) are coined constantly.
Yanping Chen +7 more
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Applied Sciences, 2020 In well-spaced Korean sentences, morphological analysis is the first step in natural language processing, in which a Korean sentence is segmented into a sequence of morphemes and the parts of speech of the segmented morphemes are determined. Named entity
Hongjin Kim, Harksoo Kim
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MetaboListem and TABoLiSTM: Two Deep Learning Algorithms for Metabolite Named Entity Recognition
Metabolites, 2022 Reviewing the metabolomics literature is becoming increasingly difficult because of the rapid expansion of relevant journal literature. Text-mining technologies are therefore needed to facilitate more efficient literature reviews.
Cheng S. Yeung, Tim Beck, Joram M. Posma
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Entity Anomaly Recognition Method Based on GCNN and GRU [PDF]
Jisuanji kexue yu tansuo, 2023 Named entity recognition (NER) model can recognize the normal entities, but cannot provide any hints for the missing entity or the entity in the incorrect location, which cannot meet the extensive requirements on the text entities in the information ...
YE Han, SUN Haichun, LI Xin
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Named entity recognition method based on joint entity boundary detection
Journal of Hebei University of Science and Technology, 2023 To solve the problem that traditional named entity recognition methods cannot effectively utilize entity boundary information, a named entity recognition method based on joint entity boundary detection was proposed.
Xiaoteng LI, Zhinan GOU, Kai GAO
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ALICE:A Pre-trained Language Representation Model for Chinese Technological Text Analysis [PDF]
Jisuanji gongcheng, 2020 The deep model of natural language processing rely on huge,high-quality and human-annotated dataset.In order to alleviate such dependency,this paper proposes a BERT-based natural language processing pre-trained model for Chinese technological text named ...
WANG Yingjie, XIE Bin, LI Ningbo
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Improving spaCy dependency annotation and PoS tagging web service using independent NER services [PDF]
Genomics & Informatics, 2019 Dependency parsing is often used as a component in many text analysis pipelines. However, performance, especially in specialized domains, suffers from the presence of complex terminology.
Nico Colic, Fabio Rinaldi
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Chinese Named Entity Recognition in the Geoscience Domain Based on BERT
Earth and Space Science, 2022 Geological reports are frequently used by geologists involved in geological surveys and scientific research to record the results and outcomes of geological surveys.
Xia Lv +7 more
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