Results 71 to 80 of about 321,541 (313)
T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition [PDF]
, 2021 Asahi Ushio, José Camacho-Collados
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Advanced Functional Materials, EarlyView.A self‐gelling PG@PAC (POD/Gel‐CDH@PA/CHX) powder is developed for infected burn care in austere settings. Upon contact with wound exudate, it instantly forms an adhesive hydrogel, providing simultaneous hemostasis, broad‐spectrum antibacterial activity, reactive oxygen species scavenging, and immunomodulation. In a murine model of S.
Liping Zhang +14 more
wiley +1 more source
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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BiodivNERE: Gold standard corpora for named entity recognition and relation extraction in the biodiversity domain [PDF]
, 2022 Nora Abdelmageed +7 more
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Named entity recognition in Wikipedia [PDF]
Proceedings of the 2009 Workshop on The People's Web Meets NLP Collaboratively Constructed Semantic Resources - People's Web '09, 2009 Named entity recognition (NER) is used in many domains beyond the newswire text that comprises current gold-standard corpora. Recent work has used Wikipedia's link structure to automatically generate near gold-standard annotations. Until now, these resources have only been evaluated on newswire corpora or themselves.
Dominic Balasuriya +4 more
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Cell Calcification Models and Their Implications for Medicine and Biomaterial Research
Advanced Healthcare Materials, EarlyView.Calcification, is the process by which the tissues containing minerals are formed, occurring during normal physiological processes, or in pathological conditions. Here, it is aimed to give a comprehensive overview of the range of cell models available, and the approaches taken by these models, highlighting when and how methodological divergences arise,
Luke Hunter +5 more
wiley +1 more source
Named Entity Recognition Based on Multi-scale Attention [PDF]
Jisuanji kexue yu tansuoThe accuracy of named entity recognition (NER) task will promote the research of multiple downstream tasks in natural language field. Due to a large number of nested semantics in text, named entities are recognized difficultly.
TANG Ruixue, QIN Yongbin, CHEN Yanping
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SeqScore: Addressing Barriers to Reproducible Named Entity Recognition Evaluation [PDF]
, 2021 Chester Palen-Michel +2 more
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Federated Named Entity Recognition
, 2022 We present an analysis of the performance of Federated Learning in a paradigmatic natural-language processing task: Named-Entity Recognition (NER). For our evaluation, we use the language-independent CoNLL-2003 dataset as our benchmark dataset and a Bi-LSTM-CRF model as our benchmark NER model.
Mathew, Joel +2 more
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A named entity recognition dataset for Turkish
2016 24th Signal Processing and Communication Application Conference (SIU), 2016 Named entity recognition is one of the important topics in the research area of natural language processing. Named entity recognition studies conducted on Turkish texts are quite limited, compared to the studies on other languages. Besides, the lack of common data sets makes the comparison of different approaches harder.
Kucuk, Dilek +2 more
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