Publikation: Introducing MathQA : a Math-Aware question answering system
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Zusammenfassung
Purpose
This paper aims to present an open source math-aware Question Answering System based on Ask Platypus.
Design/methodology/approach
The system returns as a single mathematical formula for a natural language question in English or Hindi. These formulae originate from the knowledge-based Wikidata. The authors translate these formulae to computable data by integrating the calculation engine sympy into the system. This way, users can enter numeric values for the variables occurring in the formula. Moreover, the system loads numeric values for constants occurring in the formula from Wikidata.
Findings
In a user study, this system outperformed a commercial computational mathematical knowledge engine by 13 per cent. However, the performance of this system heavily depends on the size and quality of the formula data available in Wikidata. As only a few items in Wikidata contained formulae when the project started, the authors facilitated the import process by suggesting formula edits to Wikidata editors. With the simple heuristic that the first formula is significant for the paper, 80 per cent of the suggestions were correct.
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This research was presented at the JCDL17 KDD workshop.
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SCHUBOTZ, Moritz, Philipp SCHARPF, Kaushal DUDHAT, Yash NAGAR, Felix HAMBORG, Bela GIPP, 2018. Introducing MathQA : a Math-Aware question answering system. In: Information Discovery and Delivery. 2018, 46(4), pp. 214-224. eISSN 2398-6247. Available under: doi: 10.1108/IDD-06-2018-0022BibTex
@article{Schubotz2018Intro-44383, year={2018}, doi={10.1108/IDD-06-2018-0022}, title={Introducing MathQA : a Math-Aware question answering system}, number={4}, volume={46}, journal={Information Discovery and Delivery}, pages={214--224}, author={Schubotz, Moritz and Scharpf, Philipp and Dudhat, Kaushal and Nagar, Yash and Hamborg, Felix and Gipp, Bela} }
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