%0 Journal Article %1 schoneberg_delivermath_2013 %A Schöneberg, Ulf %A Sperber, Wolfram %D 2013 %K terminologieextraktion %T The DeLiVerMATH project : text analysis in mathematics %U http://arxiv.org/abs/1306.6944 %X A high-quality content analysis is essential for retrieval functionalities but the manual extraction of key phrases and classification is expensive. Natural language processing provides a framework to automatize the process. Here, a machine-based approach for the content analysis of mathematical texts is described. A prototype for key phrase extraction and classification of mathematical texts is presented.

@article{schoneberg_delivermath_2013, abstract = {A high-quality content analysis is essential for retrieval functionalities but the manual extraction of key phrases and classification is expensive. Natural language processing provides a framework to automatize the process. Here, a machine-based approach for the content analysis of mathematical texts is described. A prototype for key phrase extraction and classification of mathematical texts is presented.}, added-at = {2018-11-04T17:02:36.000+0100}, author = {Schöneberg, Ulf and Sperber, Wolfram}, biburl = {https://www.bibsonomy.org/bibtex/2ee6cc2c85db348a757a8cf8ac9117eb6/lepsky}, interhash = {812cc6b2b785df765b1ebfd04c5d652c}, intrahash = {ee6cc2c85db348a757a8cf8ac9117eb6}, keywords = {terminologieextraktion}, timestamp = {2018-11-04T17:02:36.000+0100}, title = {The {DeLiVerMATH} project : text analysis in mathematics}, url = {http://arxiv.org/abs/1306.6944}, year = 2013 }