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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 Hits 1 – 6 of 6 1 Correcting Chinese Spelling Errors with Phonetic Pre-training ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; He, Zhongjun; Pang, Chao. - : Underline Science Inc., 2021 BASE Show details 2 ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation ... Sun, Yu; Wang, Shuohuan; Feng, Shikun. - : arXiv, 2021 BASE Show details 3 ERNIE-M: Enhanced Multilingual Representation by Aligning Cross-lingual Semantics with Monolingual Corpora ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ouyang, Xuan; Pang, Chao. - : Underline Science Inc., 2021 BASE Show details 4 ERNIE-M: Enhanced Multilingual Representation by Aligning Cross-lingual Semantics with Monolingual Corpora ... Ouyang, Xuan; Wang, Shuohuan; Pang, Chao. - : arXiv, 2020 BASE Show details 5 BiobankConnect: software to rapidly connect data elements for pooled analysis across biobanks using ontological and lexical indexing Pang, Chao; Hendriksen, Dennis; Dijkstra, Martijn; van der Velde, K Joeri; Kuiper, Joel; Hillege, Hans L; Swertz, Morris A. - : Oxford University Press, 2015 Abstract: Objective Pooling data across biobanks is necessary to increase statistical power, reveal more subtle associations, and synergize the value of data sources. However, searching for desired data elements among the thousands of available elements and harmonizing differences in terminology, data collection, and structure, is arduous and time consuming. Materials and methods To speed up biobank data pooling we developed BiobankConnect, a system to semi-automatically match desired data elements to available elements by: (1) annotating the desired elements with ontology terms using BioPortal; (2) automatically expanding the query for these elements with synonyms and subclass information using OntoCAT; (3) automatically searching available elements for these expanded terms using Lucene lexical matching; and (4) shortlisting relevant matches sorted by matching score. Results We evaluated BiobankConnect using human curated matches from EU-BioSHaRE, searching for 32 desired data elements in 7461 available elements from six biobanks. We found 0.75 precision at rank 1 and 0.74 recall at rank 10 compared to a manually curated set of relevant matches. In addition, best matches chosen by BioSHaRE experts ranked first in 63.0% and in the top 10 in 98.4% of cases, indicating that our system has the potential to significantly reduce manual matching work. Conclusions BiobankConnect provides an easy user interface to significantly speed up the biobank harmonization process. It may also prove useful for other forms of biomedical data integration. All the software can be downloaded as a MOLGENIS open source app from http://www.github.com/molgenis , with a demo available at http://www.biobankconnect.org . Keyword: Research and Applications URL: http://jamia.oxfordjournals.org/cgi/content/short/22/1/65 https://doi.org/10.1136/amiajnl-2013-002577 BASE Hide details 6 BiobankConnect: software to rapidly connect data elements for pooled analysis across biobanks using ontological and lexical indexing Pang, Chao; Hendriksen, Dennis; Dijkstra, Martijn. - : Oxford University Press, 2015 BASE Show details

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