MWPRanker: An Expression Similarity Based Math Word Problem Retriever

被引:0
|
作者
Goel, Mayank [1 ]
Venktesh, V. [2 ]
Goyal, Vikram [2 ]
机构
[1] NSUT, Delhi, India
[2] Indraprastha Inst Informat Technol, Delhi, India
关键词
D O I
10.1007/978-3-031-43430-3_33
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Math Word Problems (MWPs) in online assessments help test the ability of the learner to make critical inferences by interpreting the linguistic information in them. To test the mathematical reasoning capabilities of the learners, sometimes the problem is rephrased or the thematic setting of the original MWP is changed. Since manual identification of MWPs with similar problem models is cumbersome, we propose a tool in this work for MWP retrieval. We propose a hybrid approach to retrieve similar MWPs with the same problem model. In our work, the problem model refers to the sequence of operations to be performed to arrive at the solution. We demonstrate that our tool is useful for the mentioned tasks and better than semantic similarity-based approaches, which fail to capture the arithmetic and logical sequence of the MWPs. A demo of the tool can be found at https://www.youtube.com/watch?v=gSQWP3chFIs.
引用
收藏
页码:372 / 377
页数:6
相关论文
共 50 条
  • [21] Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation
    Liang, Zhenwen
    Yu, Wenhao
    Rajpurohit, Tanmay
    Clark, Peter
    Zhang, Xiangliang
    Kalyan, Ashwin
    2023 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP 2023), 2023, : 14384 - 14396
  • [22] Automatic Math Word Problem Generation With Topic-Expression Co-Attention Mechanism and Reinforcement Learning
    Wu, Qinzhuo
    Zhang, Qi
    Huang, Xuanjing
    IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2022, 30 : 1061 - 1072
  • [23] A New Word Clustering Algorithm Based on Word Similarity
    YUAN Lichi
    ChineseJournalofElectronics, 2017, 26 (06) : 1221 - 1226
  • [24] A New Word Clustering Algorithm Based on Word Similarity
    Yuan Lichi
    CHINESE JOURNAL OF ELECTRONICS, 2017, 26 (06) : 1221 - 1226
  • [25] Enhancing Seq2seq Math Word Problem Solver with Entity Information and Math Knowledge
    Li, Lei
    Zhang, Dongxiang
    Wang, Chengyu
    Jin, Cheqing
    Gao, Ming
    Zhou, Aoying
    WEB INFORMATION SYSTEMS ENGINEERING - WISE 2022, 2022, 13724 : 370 - 385
  • [26] Can Spontaneous Diagram Use be Promoted in Math Word Problem Solving?
    Ayabe, Hiroaki
    Manalo, Emmanuel
    DIAGRAMMATIC REPRESENTATION AND INFERENCE, DIAGRAMS 2018, 2018, 10871 : 817 - 820
  • [27] The Gap of Semantic Parsing: A Survey on Automatic Math Word Problem Solvers
    Zhang, Dongxiang
    Wang, Lei
    Zhang, Luming
    Dai, Bing Tian
    Shen, Heng Tao
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 42 (09) : 2287 - 2305
  • [28] An Introspective Data Augmentation Method for Training Math Word Problem Solvers
    Qin, Jinghui
    Huang, Zhongzhan
    Zeng, Ying
    Zhang, Quanshi
    Lin, Liang
    IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2024, 32 : 3113 - 3127
  • [29] A Diverse Corpus for Evaluating and Developing English Math Word Problem Solvers
    Miao, Shen-Yun
    Liang, Chao-Chun
    Su, Keh-Yih
    58TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2020), 2020, : 975 - 984
  • [30] Elucidating the Effects of Diagram Use Training for Math Word Problem Solving
    Ayabe, Hiroaki
    Manalo, Emmanuel
    Hanaki, Noriko
    DIAGRAMMATIC REPRESENTATION AND INFERENCE, DIAGRAMS 2020, 2020, 12169 : 548 - 552