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Found 6 papers, 5 papers with code
Discovery and Recognition of Formula Concepts using Machine Learning
Our long-term goal is to generalize citation-based IR methods and apply this generalized method to both classical references and mathematical concepts.
Recommending Research Papers to Chemists: A Specialized Interface for Chemical Entity Exploration
For example, in the field of biomedicine and chemistry, researchers are not only interested in textual relevance but may also want to discover or compare the contained chemical entity information found in a paper's full text.
A Qualitative Evaluation of User Preference for Link-based vs. Text-based Recommendations of Wikipedia Articles
We conclude that users of literature recommendation systems can benefit most from hybrid approaches that combine both link- and text-based approaches, where the user's information needs and preferences should control the weighting for the approaches used.
AutoMSC: Automatic Assignment of Mathematics Subject Classification Labels
Moreover, we find that the method's confidence score allows for reducing the effort by 86% compared to the manual coarse-grained classification effort while maintaining a precision of 81% for automatically classified articles.
Discovering Mathematical Objects of Interest -- A Study of Mathematical Notations
The contributions of our presented research are as follows: (1) we present the first distributional analysis of mathematical formulae on arXiv and zbMATH; (2) we retrieve relevant mathematical objects for given textual search queries (e. g., linking $P_{n}^{(\alpha, \beta)}\!\left(x\right)$ with `Jacobi polynomial'); (3) we extend zbMATH's search engine by providing relevant mathematical formulae; and (4) we exemplify the applicability of the results by presenting auto-completion for math inputs as the first contribution to math recommendation systems.
Giveme5W1H: A Universal System for Extracting Main Events from News Articles
Event extraction from news articles is a commonly required prerequisite for various tasks, such as article summarization, article clustering, and news aggregation.
