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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5...7 Hits 1 – 20 of 140 1 Probability Distribution-Based Processing Model of Probabilistic Linguistic Term Set and Its Application in Automatic Environment Evaluation [<Journal>] Li, Yu [Verfasser]; Wang, Xiao-kang [Verfasser]; Wang, Jian-qiang [Verfasser]. DNB Subject Category Language Show details 2 Panophrys daoji Lyu, Zeng, Wang & Wang 2021, sp. nov. ... Lyu, Zhi-Tong; Zeng, Zhao-Chi; Wang, Jian. - : Zenodo, 2021 BASE Show details 3 Panophrys daoji Lyu, Zeng, Wang & Wang 2021, sp. nov. ... Lyu, Zhi-Tong; Zeng, Zhao-Chi; Wang, Jian. - : Zenodo, 2021 BASE Show details 4 Diagnosis and differential diagnosis flow diagram of Chinese post‐stroke aphasia types and treatment of post‐stroke aphasia Wang, Yinhua; Du, Wanliang; Yang, Xiaona... In: Aging Med (Milton) (2021) BASE Show details 5 Deep learning with language models improves named entity recognition for PharmaCoNER Sun, Cong; Yang, Zhihao; Wang, Lei; Zhang, Yin; Lin, Hongfei; Wang, Jian In: BMC Bioinformatics (2021) Abstract: BACKGROUND: The recognition of pharmacological substances, compounds and proteins is essential for biomedical relation extraction, knowledge graph construction, drug discovery, as well as medical question answering. Although considerable efforts have been made to recognize biomedical entities in English texts, to date, only few limited attempts were made to recognize them from biomedical texts in other languages. PharmaCoNER is a named entity recognition challenge to recognize pharmacological entities from Spanish texts. Because there are currently abundant resources in the field of natural language processing, how to leverage these resources to the PharmaCoNER challenge is a meaningful study. METHODS: Inspired by the success of deep learning with language models, we compare and explore various representative BERT models to promote the development of the PharmaCoNER task. RESULTS: The experimental results show that deep learning with language models can effectively improve model performance on the PharmaCoNER dataset. Our method achieves state-of-the-art performance on the PharmaCoNER dataset, with a max F1-score of 92.01%. CONCLUSION: For the BERT models on the PharmaCoNER dataset, biomedical domain knowledge has a greater impact on model performance than the native language (i.e., Spanish). The BERT models can obtain competitive performance by using WordPiece to alleviate the out of vocabulary limitation. The performance on the BERT model can be further improved by constructing a specific vocabulary based on domain knowledge. Moreover, the character case also has a certain impact on model performance. Keyword: Research URL: https://doi.org/10.1186/s12859-021-04260-y http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8684061/ http://www.ncbi.nlm.nih.gov/pubmed/34920700 BASE Hide details 6 Anatomical Study on the Safety of Anterior Cervical Craniovertebral Fusion with Clival Screw Placement in Children Aged 1–6 Years Zhang, Shao-Jie; Li, Kun; Li, Zhi-Jun... In: Int J Gen Med (2021) BASE Show details 7 Multifeature Fusion Attention Network for Suicide Risk Assessment Based on Social Media: Algorithm Development and Validation Li, Jiacheng; Zhang, Shaowu; Zhang, Yijia... In: JMIR Med Inform (2021) BASE Show details 8 Multi-criteria sorting decision making based on dominance and opposition relations with probabilistic linguistic information [<Journal>] Peng, Hong-gang [Verfasser]; Wang, Jian-qiang [Verfasser] DNB Subject Category Language Show details 9 Named entity translation method based on machine translation lexicon [<Journal>] Li, Panpan [Verfasser]; Wang, Mengxiang [Verfasser]; Wang, Jian [Verfasser] DNB Subject Category Language Show details 10 Sign language learning based on high-speed fringe projection profilometry employing defocused binary fringe [<Journal>] Wang, Jian-hua [Verfasser]; Zhou, Yu-guo [Verfasser]; Yang, Yan-xi [Verfasser] DNB Subject Category Language Show details 11 Measurement of single-diffractive dijet production in proton-proton collisions at $\sqrt{s} =$ 8 TeV with the CMS and TOTEM experiments Sirunyan, Albert M; Tumasyan, Armen; Adam, Wolfgang... In: Eur.Phys.J.C ; https://hal.archives-ouvertes.fr/hal-02507664 ; Eur.Phys.J.C, 2020, 80 (12), pp.1164. &#x27E8;10.1140/epjc/s10052-020-08562-y&#x27E9; (2020) BASE Show details 12 Additional file 1 of Dialectical Observation of Controllable Electrodeposited Ni Nanocones: the Unification of Local Disorder and Overall Order ... Ruiqing Zou; Saidi Xiang; Wang, Jian. - : figshare, 2020 BASE Show details 13 Additional file 1 of Dialectical Observation of Controllable Electrodeposited Ni Nanocones: the Unification of Local Disorder and Overall Order ... Ruiqing Zou; Saidi Xiang; Wang, Jian. - : figshare, 2020 BASE Show details 14 Additional file 1 of Dialectical Observation of Controllable Electrodeposited Ni Nanocones: the Unification of Local Disorder and Overall Order ... Ruiqing Zou; Saidi Xiang; Wang, Jian. - : figshare, 2020 BASE Show details 15 Additional file 1 of Dialectical Observation of Controllable Electrodeposited Ni Nanocones: the Unification of Local Disorder and Overall Order ... Ruiqing Zou; Saidi Xiang; Wang, Jian. - : figshare, 2020 BASE Show details 16 Dialectical Observation of Controllable Electrodeposited Ni Nanocones: the Unification of Local Disorder and Overall Order ... Ruiqing Zou; Saidi Xiang; Wang, Jian. - : figshare, 2020 BASE Show details 17 Dialectical Observation of Controllable Electrodeposited Ni Nanocones: the Unification of Local Disorder and Overall Order ... Ruiqing Zou; Saidi Xiang; Wang, Jian. - : figshare, 2020 BASE Show details 18 Dialectical Observation of Controllable Electrodeposited Ni Nanocones: the Unification of Local Disorder and Overall Order ... Ruiqing Zou; Saidi Xiang; Wang, Jian. - : figshare, 2020 BASE Show details 19 Implementing healthcare service quality enhancement using a cloud-support QFD model integrated with TODIM method and linguistic distribution assessments ... Nie, Ru-xin; Tian, Zhang-peng; Sang, Chin Kwai. - : Taylor & Francis, 2020 BASE Show details 20 Implementing healthcare service quality enhancement using a cloud-support QFD model integrated with TODIM method and linguistic distribution assessments ... Nie, Ru-xin; Tian, Zhang-peng; Sang, Chin Kwai. - : Taylor & Francis, 2020 BASE Show details Page: 1 2 3 4 5...7

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