Comparison and combination of several MeSH indexing approaches
暂无分享,去创建一个
Antonio Jimeno-Yepes | Dina Demner-Fushman | Alan R. Aronson | James G. Mork | Dina Demner-Fushman | A. Aronson | Antonio Jimeno-Yepes
[1] W. John Wilbur,et al. Text Mining Techniques for Leveraging Positively Labeled Data , 2011, BioNLP@ACL.
[2] W. Bruce Croft. Combining Approaches to Information Retrieval , 2002 .
[3] Peter Ingwersen,et al. Developing a Test Collection for the Evaluation of Integrated Search , 2010, ECIR.
[4] Wanda Pratt,et al. The Effect of Feature Representation on MEDLINE Document Classification , 2005, AMIA.
[5] Antonio Jimeno-Yepes. Automatic algorithm selection for MeSH Heading indexing based on meta-learning , 2011 .
[6] Antonio Jimeno-Yepes,et al. MEDLINE MeSH indexing: lessons learned from machine learning and future directions , 2012, IHI '12.
[7] Alan R. Aronson,et al. An overview of MetaMap: historical perspective and recent advances , 2010, J. Am. Medical Informatics Assoc..
[8] Olivier Bodenreider,et al. Beyond synonymy: exploiting the UMLS semantics in mapping vocabularies , 1998, AMIA.
[9] James P. Callan,et al. Training algorithms for linear text classifiers , 1996, SIGIR '96.
[10] Michael I. Jordan,et al. On Discriminative vs. Generative Classifiers: A comparison of logistic regression and naive Bayes , 2001, NIPS.
[11] Patrick Gallinari,et al. Text Classification: A Sequential Reading Approach , 2011, ECIR.
[12] Patrick Ruch,et al. Automatic assignment of biomedical categories: toward a generic approach , 2006, Bioinform..
[13] Alfonso Valencia,et al. Overview of BioCreAtIvE: critical assessment of information extraction for biology , 2005, BMC Bioinformatics.
[14] J. Ross Quinlan,et al. C4.5: Programs for Machine Learning , 1992 .
[15] Sampo Pyysalo,et al. Overview of BioNLP’09 Shared Task on Event Extraction , 2009, BioNLP@HLT-NAACL.
[16] Antonio Jimeno-Yepes,et al. A One-Size-Fits-All Indexing Method Does Not Exist: Automatic Selection Based on Meta-Learning , 2012, J. Comput. Sci. Eng..
[17] Zhiyong Lu,et al. Recommending MeSH terms for annotating biomedical articles , 2011, J. Am. Medical Informatics Assoc..
[18] Sophia Ananiadou,et al. Proceedings of BioNLP 2011 Workshop , 2011 .
[19] Tong Zhang,et al. Solving large scale linear prediction problems using stochastic gradient descent algorithms , 2004, ICML.
[20] Thomas G. Dietterich. Multiple Classifier Systems , 2000, Lecture Notes in Computer Science.
[21] Chris Buckley,et al. OHSUMED: an interactive retrieval evaluation and new large test collection for research , 1994, SIGIR '94.
[22] Russ B. Altman,et al. MScanner: a classifier for retrieving Medline citations , 2008, BMC Bioinformatics.
[23] Olivier Bodenreider,et al. The NLM Indexing Initiative , 2000, AMIA.
[24] Vincent Claveau,et al. Automatic inference of indexing rules for MEDLINE , 2008, BMC Bioinformatics.
[25] Yoav Freund,et al. Experiments with a New Boosting Algorithm , 1996, ICML.
[26] James G. Mork,et al. A bottom-up approach to MEDLINE indexing recommendations. , 2011, AMIA ... Annual Symposium proceedings. AMIA Symposium.
[27] Andrew McCallum,et al. Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data , 2004, J. Mach. Learn. Res..
[28] Yindalon Aphinyanagphongs,et al. Text Categorization Models for Retrieval of High Quality Articles in Internal Medicine , 2003, AMIA.
[29] Xinghua Lu,et al. Mapping annotations with textual evidence using an scLDA model. , 2011, AMIA ... Annual Symposium proceedings. AMIA Symposium.
[30] M E Funk,et al. Indexing consistency in MEDLINE. , 1983, Bulletin of the Medical Library Association.
[31] Trevor Cohen,et al. Deterministic Binary Vectors for Efficient Automated Indexing of MEDLINE/PubMed Abstracts , 2012, AMIA.
[32] Thorsten Joachims,et al. Text Categorization with Support Vector Machines: Learning with Many Relevant Features , 1998, ECML.
[33] Jimmy J. Lin,et al. PubMed related articles: a probabilistic topic-based model for content similarity , 2007, BMC Bioinformatics.
[34] Ramesh Nallapati,et al. Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora , 2009, EMNLP.
[35] Wessel Kraaij,et al. MeSH Up: effective MeSH text classification for improved document retrieval , 2009, Bioinform..
[36] Padmini Srinivasan,et al. Hierarchical neural networks for text categorization (poster abstract) , 1999, SIGIR '99.