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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 Hits 1 – 20 of 71 1 Improving BERT Model Using Contrastive Learning for Biomedical Relation Extraction ... Su, Peng; Peng, Yifan; Vijay-Shanker, K.. - : arXiv, 2021 BASE Show details 2 iTextMine: integrated text-mining system for large-scale knowledge extraction from the literature Ren, Jia; Li, Gang; Ross, Karen. - : Oxford University Press, 2018 BASE Show details 3 An Approach to Reducing Annotation Costs for BioNLP ... Bloodgood, Michael; Vijay-Shanker, K.. - : arXiv, 2014 Abstract: There is a broad range of BioNLP tasks for which active learning (AL) can significantly reduce annotation costs and a specific AL algorithm we have developed is particularly effective in reducing annotation costs for these tasks. We have previously developed an AL algorithm called ClosestInitPA that works best with tasks that have the following characteristics: redundancy in training material, burdensome annotation costs, Support Vector Machines (SVMs) work well for the task, and imbalanced datasets (i.e. when set up as a binary classification problem, one class is substantially rarer than the other). Many BioNLP tasks have these characteristics and thus our AL algorithm is a natural approach to apply to BioNLP tasks. ... : 2 pages, 1 figure, 5 tables; appeared in Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing at ACL (Association for Computational Linguistics) 2008 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences; I.2.7; I.2.6; I.5.1; I.5.4; Machine Learning cs.LG; Machine Learning stat.ML URL: https://arxiv.org/abs/1409.3881 https://dx.doi.org/10.48550/arxiv.1409.3881 BASE Hide details 4 Taking into Account the Differences between Actively and Passively Acquired Data: The Case of Active Learning with Support Vector Machines for Imbalanced Datasets ... Bloodgood, Michael; Vijay-Shanker, K.. - : arXiv, 2014 BASE Show details 5 Rapid Adaptation of POS Tagging for Domain Specific Uses ... Miller, John E.; Bloodgood, Michael; Torii, Manabu. - : arXiv, 2014 BASE Show details 6 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 7 A Method for Stopping Active Learning Based on Stabilizing Predictions and the Need for User-Adjustable Stopping ... Bloodgood, Michael; Vijay-Shanker, K. - : Digital Repository at the University of Maryland, 2009 BASE Show details 8 Taking into Account the Differences between Actively and Passively Acquired Data: The Case of Active Learning with Support Vector Machines for Imbalanced Datasets ... Bloodgood, Michael; Vijay-Shanker, K. - : Digital Repository at the University of Maryland, 2009 BASE Show details 9 A Method for Stopping Active Learning Based on Stabilizing Predictions and the Need for User-Adjustable Stopping Bloodgood, Michael; Vijay-Shanker, K. - : Association for Computational Linguistics, 2009 BASE Show details 10 Taking into Account the Differences between Actively and Passively Acquired Data: The Case of Active Learning with Support Vector Machines for Imbalanced Datasets Bloodgood, Michael; Vijay-Shanker, K. - : Association for Computational Linguistics, 2009 BASE Show details 11 An Approach to Reducing Annotation Costs for BioNLP ... Bloodgood, Michael; Vijay-Shanker, K. - : Digital Repository at the University of Maryland, 2008 BASE Show details 12 An Approach to Reducing Annotation Costs for BioNLP Bloodgood, Michael; Vijay-Shanker, K. - : Association for Computational Linguistics, 2008 BASE Show details 13 Automated extraction of tree-adjoining grammars from treebanks Chen, John; Bangalore, Srinivas; Vijay-Shanker, K. In: Natural language engineering. - Cambridge : Cambridge University Press 12 (2006) 3, 251-299 BLLDB Show details 14 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 15 Rapid Adaptation of POS Tagging for Domain Specific Uses Miller, John; Bloodgood, Michael; Torii, Manabu. - : Association for Computational Linguistics, 2006 BASE Show details 16 Automated extraction of tags from the Penn Treebank Chen, John; Vijay-Shanker, K. In: New developments in parsing technology. - Dordrecht [u.a.] : Kluwer (2004), 73-89 BLLDB Show details 17 Roots, constituents, and c-command Frank, Robert; Hagstrom, Paul; Vijay-Shanker, K. In: Theoretical approaches to universals. - Amsterdam [u.a.] : Benjamins (2002), 109-137 BLLDB Show details 18 Roots, constituents, and c-command Frank, Robert; Hagstrom, Paul; Vijay-Shanker, K. In: Theoretical approaches to universals (2002), 109-139 IDS Bibliografie zur deutschen Grammatik Show details 19 Randomized rule selection in transformation-based learning : a comparative study Carberry, Sandra; Vijay-Shanker, K.; Wilson, Andrew... In: Natural language engineering. - Cambridge : Cambridge University Press 7 (2001) 2, 99-116 BLLDB Show details 20 Primitive C-command Frank, Robert; Vijay-Shanker, K. In: Syntax. - Oxford : Wiley-Blackwell 4 (2001) 3, 164-204 BLLDB Show details Page: 1 2 3 4

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