Semantic Scholar Open Access 2020 439 sitasi

A Diverse Corpus for Evaluating and Developing English Math Word Problem Solvers

Shen-Yun Miao Chao-Chun Liang Keh-Yih Su

Lihat Sumber DOI

Abstrak

We present ASDiv (Academia Sinica Diverse MWP Dataset), a diverse (in terms of both language patterns and problem types) English math word problem (MWP) corpus for evaluating the capability of various MWP solvers. Existing MWP corpora for studying AI progress remain limited either in language usage patterns or in problem types. We thus present a new English MWP corpus with 2,305 MWPs that cover more text patterns and most problem types taught in elementary school. Each MWP is annotated with its problem type and grade level (for indicating the level of difficulty). Furthermore, we propose a metric to measure the lexicon usage diversity of a given MWP corpus, and demonstrate that ASDiv is more diverse than existing corpora. Experiments show that our proposed corpus reflects the true capability of MWP solvers more faithfully.

Topik & Kata Kunci

Computer Science

Penulis (3)

Shen-Yun Miao

Chao-Chun Liang

Keh-Yih Su

Format Sitasi

APA MLA BibTeX

Miao, S., Liang, C., Su, K. (2020). A Diverse Corpus for Evaluating and Developing English Math Word Problem Solvers. https://doi.org/10.18653/v1/2020.acl-main.92

Akses Cepat

Lihat di Sumber doi.org/10.18653/v1/2020.acl-main.92

Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Total Sitasi: 439×
Sumber Database: Semantic Scholar
DOI: 10.18653/v1/2020.acl-main.92
Akses: Open Access ✓