Introducing MathQA: a Math-Aware question answering system. Issue 4 (19th November 2018)

• Record Type: Journal Article
• Authors: Schubotz, Moritz; Scharpf, Philipp; Dudhat, Kaushal; Nagar, Yash; Hamborg, Felix; Gipp, Bela
• Is Part Of: Information discovery and delivery. Volume 46:Issue 4(2018)
• Page Start: 214
• Page End: 224
• Publication Date: 2018-11-19
• Subjects: Digital libraries -- Information retrieval -- Database management -- Mathematical information retrieval -- Question answering systems -- Wikidata; Information retrieval -- Periodicals; Document delivery -- Periodicals; Digital libraries -- Periodicals; Information storage and retrieval systems -- Periodicals; 025.524
• DOI: 10.1108/IDD-06-2018-0022
• Languages: English
• ISSNs: 2398-6247

Abstract

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.