High-recall protein entity recognition using a dictionary
暂无分享,去创建一个
[1] Raymond J. Mooney,et al. Relational Learning of Pattern-Match Rules for Information Extraction , 1999, CoNLL.
[2] Christopher D. Manning,et al. Enriching the Knowledge Sources Used in a Maximum Entropy Part-of-Speech Tagger , 2000, EMNLP.
[3] William W. Cohen,et al. Semi-Markov Conditional Random Fields for Information Extraction , 2004, NIPS.
[4] Fernando Pereira,et al. Identifying gene and protein mentions in text using conditional random fields , 2005, BMC Bioinformatics.
[5] Robert J. Gaizauskas,et al. Automatically Augmenting Terminological Lexicons from Untagged Text , 2000, LREC.
[6] Jun'ichi Tsujii,et al. Tuning support vector machines for biomedical named entity recognition , 2002, ACL Workshop on Natural Language Processing in the Biomedical Domain.
[7] William A. Gale,et al. Good-Turing Smoothing Without Tears , 2001 .
[8] Rohit J. Kate,et al. Comparative experiments on learning information extractors for proteins and their interactions , 2005, Artif. Intell. Medicine.
[9] Robert F. Murphy,et al. EXTRACTING AND STRUCTURING SUBCELLULAR LOCATION INFORMATION FROM ON-LINE JOURNAL ARTICLES: THE SUBCELLULAR LOCATION IMAGE FINDER , 2004 .
[10] William W. Cohen,et al. A Comparison of String Metrics for Matching Names and Records , 2003 .
[11] Javed Mostafa,et al. An approach to protein name extraction using heuristics and a dictionary , 2005, ASIST.
[12] Fernando Pereira,et al. Shallow Parsing with Conditional Random Fields , 2003, NAACL.
[13] Sean R. Eddy,et al. Profile hidden Markov models , 1998, Bioinform..
[14] Andrew McCallum,et al. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data , 2001, ICML.
[15] Andrew McCallum,et al. Maximum Entropy Markov Models for Information Extraction and Segmentation , 2000, ICML.
[16] William W. Cohen,et al. Exploiting dictionaries in named entity extraction: combining semi-Markov extraction processes and data integration methods , 2004, KDD.
[17] Fredrik Olsson,et al. Protein names and how to find them , 2002, Int. J. Medical Informatics.
[18] Richard M. Schwartz,et al. Nymble: a High-Performance Learning Name-finder , 1997, ANLP.
[19] Wendy G. Lehnert,et al. Wrap-Up: a Trainable Discourse Module for Information Extraction , 1994, J. Artif. Intell. Res..
[20] G Demetriou,et al. Two applications of information extraction to biological science journal articles: enzyme interactions and protein structures. , 1999, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing.
[21] T. Takagi,et al. Toward information extraction: identifying protein names from biological papers. , 1998, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing.