Introducing MathQA: a Math-Aware question answering system

Author:

Schubotz Moritz,Scharpf Philipp,Dudhat Kaushal,Nagar Yash,Hamborg Felix,Gipp Bela

Abstract

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. Originality/value This research was presented at the JCDL17 KDD workshop.

Publisher

Emerald

Subject

Library and Information Sciences,General Computer Science

Reference34 articles.

1. math. wikipedia. org: a vision for a collaborative semi-formal, language in- dependent math (s) encyclopedia,2017

2. Towards better visual tools for exploring wikipedia article development-the use case of ‘gamergate controversy,2015

3. Exploiting a controlled vocabulary to improve collection selection and retrieval effectiveness,2001

4. 1. G. contributors (2018), Pywikibot: python library to automate work on media wiki sites, available at: www.mediawiki.org/wiki/Manual:Pywikibot (accessed 4 November 2018).

5. H. O. the Net Foundation (HON) (2018), HON's Question Answering tool, available at: www.hon.ch, http://services.hon.ch/cgi-bin/QA10/qa.pl (accessed 4 November 2018).

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