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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 – 9 of 9 1 Using natural language processing to extract health-related causality from Twitter messages ... Doan, Son; Yang, Elly W; Tilak, Sameer. - : arXiv, 2019 BASE Show details 2 Extracting health-related causality from twitter messages using natural language processing Doan, Son; Yang, Elly W.; Tilak, Sameer S.. - : BioMed Central, 2019 BASE Show details 3 A Preliminary Study of Clinical Concept Detection Using Syntactic Relations Torii, Manabu; Yang, Elly W.; Doan, Son. - : American Medical Informatics Association, 2018 BASE Show details 4 Rapid Adaptation of POS Tagging for Domain Specific Uses ... Miller, John E.; Bloodgood, Michael; Torii, Manabu. - : arXiv, 2014 BASE Show details 5 iSimp in BioC standard format: enhancing the interoperability of a sentence simplification system Peng, Yifan; Tudor, Catalina O.; Torii, Manabu. - : Oxford University Press, 2014 BASE Show details 6 BioC: a minimalist approach to interoperability for biomedical text processing Comeau, Donald C.; Islamaj Doğan, Rezarta; Ciccarese, Paolo. - : Oxford University Press, 2013 BASE Show details 7 BioC: a minimalist approach to interoperability for biomedical text processing Comeau, Donald C.; Islamaj Doğan, Rezarta; Ciccarese, Paolo; Cohen, Kevin Bretonnel; Krallinger, Martin; Leitner, Florian; Lu, Zhiyong; Peng, Yifan; Rinaldi, Fabio; Torii, Manabu; Valencia, Alfonso; Verspoor, Karin; Wiegers, Thomas C.; Wu, Cathy H.; Wilbur, W. John. - : Oxford University Press, 2013 Abstract: A vast amount of scientific information is encoded in natural language text, and the quantity of such text has become so great that it is no longer economically feasible to have a human as the first step in the search process. Natural language processing and text mining tools have become essential to facilitate the search for and extraction of information from text. This has led to vigorous research efforts to create useful tools and to create humanly labeled text corpora, which can be used to improve such tools. To encourage combining these efforts into larger, more powerful and more capable systems, a common interchange format to represent, store and exchange the data in a simple manner between different language processing systems and text mining tools is highly desirable. Here we propose a simple extensible mark-up language format to share text documents and annotations. The proposed annotation approach allows a large number of different annotations to be represented including sentences, tokens, parts of speech, named entities such as genes or diseases and relationships between named entities. In addition, we provide simple code to hold this data, read it from and write it back to extensible mark-up language files and perform some sample processing. We also describe completed as well as ongoing work to apply the approach in several directions. Code and data are available at http://bioc.sourceforge.net/. Database URL: http://bioc.sourceforge.net/ ; Version of Record URL: http://nrs.harvard.edu/urn-3:HUL.InstRepos:11879601 https://doi.org/10.1093/database/bat064 BASE Hide details 8 Rapid Adaptation of POS Tagging for Domain Specific Uses ... Miller, John; Bloodgood, Michael; Torii, Manabu. - : Digital Repository at the University of Maryland, 2006 BASE Show details 9 Rapid Adaptation of POS Tagging for Domain Specific Uses Miller, John; Bloodgood, Michael; Torii, Manabu. - : Association for Computational Linguistics, 2006 BASE Show details

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