Improved chemical text mining of patents using infinite dictionaries, translation and automatic spelling correction

Author:

Sayle Roger A,Petrov Plamen,Winter Jon,Muresan Sorel

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Computer Graphics and Computer-Aided Design,Physical and Theoretical Chemistry,Computer Science Applications

Reference4 articles.

1. Hattori K, Wakabayashi H, Tamaki K: Predicting Key Example Compounds in Competitor’s Patent Applications using Structural Information Alone. J Chem Inf Model. 2008, 48: 135-142. 10.1021/ci7002686.

2. Rhodes J, Boyer S, Kreulen J, Chen Y, Ordonez P: Mining Patents using Molecular Similarity Search. Pac Symp Biocomput. 2007, 12: 304-315. full_text.

3. Suriyawongkul I, Southan C, Muresan S: The Cinderella of Biological Data Integration: Addressing the Challenges of Entity and Relationship Mining from Patent Sources. Data Integration in the Life Sciences. Lect Notes Bioinf. 2010, Springer, 6254:

4. Sayle R: Foreign Language Translation of Chemical Nomenclature by Computer. J Chem Inf Model. 2009, 49: 519-530. 10.1021/ci800243w.

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