z-logo
open-access-imgOpen Access
CoCoScore: context-aware co-occurrence scoring for text mining applications using distant supervision
Author(s) -
Alexander Junge,
Lars Juhl Jensen
Publication year - 2019
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btz490
Subject(s) - computer science , biomedical text mining , co occurrence , context (archaeology) , sentence , relationship extraction , natural language processing , pairwise comparison , set (abstract data type) , information retrieval , information extraction , relation (database) , artificial intelligence , false positive paradox , text mining , f1 score , data mining , paleontology , biology , programming language

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom