{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/deep-neural-solver-for-math-word-problems","title":"Deep Neural Solver for Math Word Problems","arxiv_id":null,"date":"2017-09-01","proceeding":"EMNLP 2017 9","authors":["Yan Wang","Xiaojiang Liu","Shuming Shi"],"abstract":"This paper presents a deep neural solver to automatically solve math word problems. In contrast to previous statistical learning approaches, we directly translate math word problems to equation templates using a recurrent neural network (RNN) model, without sophisticated feature engineering. We further design a hybrid model that combines the RNN model and a similarity-based retrieval model to achieve additional performance improvement. Experiments conducted on a large dataset show that the RNN model and the hybrid model significantly outperform state-of-the-art statistical learning methods for math word problem solving.","url_abs":"https://aclanthology.org/D17-1088","url_pdf":"https://aclanthology.org/D17-1088.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[],"tasks":[{"task_slug":"feature-engineering","task_name":"Feature Engineering"},{"task_slug":"machine-translation","task_name":"Machine Translation"},{"task_slug":"math","task_name":"Math"},{"task_slug":"math-word-problem-solving","task_name":"Math Word Problem Solving"},{"task_slug":"retrieval","task_name":"Retrieval"},{"task_slug":"semantic-parsing","task_name":"Semantic Parsing"}],"methods":[],"datasets_introduced":[{"slug":"math23k","name":"Math23K","full_name":"Math23K for Math Word Problem Solving"}],"methods_introduced":[],"results":[{"leaderboard":"/sota/math-word-problem-solving-on-alg514","task":"Math Word Problem Solving","dataset":"ALG514","model":"ZDC","rank_in_archive_order":4,"of":10,"metrics":{"Accuracy (%)":"79.7"},"uses_additional_data":false},{"leaderboard":"/sota/math-word-problem-solving-on-math23k","task":"Math Word Problem Solving","dataset":"Math23K","model":"Hybrid model w/ SNI","rank_in_archive_order":15,"of":19,"metrics":{"Accuracy (5-fold)":"64.7"},"uses_additional_data":false}],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}