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Found 5 papers, 3 papers with code
WARM: A Weakly (+Semi) Supervised Math Word Problem Solver
In order to address this challenge of equation annotation, we propose a weakly supervised model for solving MWPs by requiring only the final answer as supervision.
Incorporating Customer Reviews in Size and Fit Recommendation systems for Fashion E-Commerce
We propose a novel approach which can use information from customer reviews along with customer and product features for size and fit predictions.
WARM: A Weakly (+Semi) Supervised Model for Solving Math word Problems
We approach this problem by first learning to generate the equation using the problem description and the final answer, which we subsequently use to train a supervised MWP solver.
Semi-Supervised Data Programming with Subset Selection
The first contribution of this work is an introduction of a framework, \model which is a semi-supervised data programming paradigm that learns a \emph{joint model} that effectively uses the rules/labelling functions along with semi-supervised loss functions on the feature space.
Data Programming using Continuous and Quality-Guided Labeling Functions
Scarcity of labeled data is a bottleneck for supervised learning models.
