1 code implementation • 3 Mar 2023 • Philipp Scharpf, Moritz Schubotz, Howard S. Cohl, Corinna Breitinger, Bela Gipp
Our long-term goal is to generalize citation-based IR methods and apply this generalized method to both classical references and mathematical concepts.
no code implementations • 11 May 2022 • Corinna Breitinger, Kay Herklotz, Tim Flegelskamp, Norman Meuschke
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.
1 code implementation • 16 Sep 2021 • Malte Ostendorff, Corinna Breitinger, Bela Gipp
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.
1 code implementation • 25 May 2020 • Moritz Schubotz, Philipp Scharpf, Olaf Teschke, Andreas Kuehnemund, Corinna Breitinger, Bela Gipp
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.
1 code implementation • 7 Feb 2020 • Andre Greiner-Petter, Moritz Schubotz, Fabian Mueller, Corinna Breitinger, Howard S. Cohl, Akiko Aizawa, Bela Gipp
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.
2 code implementations • 6 Sep 2019 • Felix Hamborg, Corinna Breitinger, Bela Gipp
Event extraction from news articles is a commonly required prerequisite for various tasks, such as article summarization, article clustering, and news aggregation.