The DeLiVerMATH project - Text analysis in mathematics
This addresses the need for efficient retrieval in mathematics by automating an expensive manual process, but it appears incremental as it applies existing NLP methods to a specific domain.
The authors tackled the problem of automating content analysis for mathematical texts by developing a machine-based approach, resulting in a prototype for key phrase extraction and classification.
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.