MWPRanker: An Expression Similarity Based Math Word Problem Retriever

07/03/2023
by   Mayank Goel, et al.
0

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

READ FULL TEXT
research
05/17/2022

Tackling Math Word Problems with Fine-to-Coarse Abstracting and Reasoning

Math Word Problems (MWP) is an important task that requires the ability ...
research
09/29/2022

Generate-and-Retrieve: use your predictions to improve retrieval for semantic parsing

A common recent approach to semantic parsing augments sequence-to-sequen...
research
12/06/2022

UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical Expression

Geometry problem solving is a well-recognized testbed for evaluating the...
research
05/09/2017

Logical Parsing from Natural Language Based on a Neural Translation Model

Semantic parsing has emerged as a significant and powerful paradigm for ...
research
11/09/2020

Adversarial Semantic Collisions

We study semantic collisions: texts that are semantically unrelated but ...

Please sign up or login with your details

Forgot password? Click here to reset