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Found 13 papers, 0 papers with code
“Are you calling for the vaporizer you ordered?” Combining Search and Prediction to Identify Orders in Contact Centers
We compare with multiple relevant techniques based on word embeddings as well as ecommerce product search to show that the proposed approach provides the best performance with 64% coverage and 87% accuracy on a large real-life data-set.
Learning Transferable Feature Representations Using Neural Networks
Generally it requires labeled data from the source and only unlabeled data from the target to learn such representations.
Distributed Vector Representations for Unsupervised Automatic Short Answer Grading
We address the problem of automatic short answer grading, evaluating a collection of approaches inspired by recent advances in distributional text representations.
A Fluctuation Smoothing Approach for Unsupervised Automatic Short Answer Grading
We offer a fluctuation smoothing computational approach for unsupervised automatic short answer grading (ASAG) techniques in the educational ecosystem.
An Iterative Transfer Learning Based Ensemble Technique for Automatic Short Answer Grading
We propose an iterative technique on an ensemble of (a) a text classifier of student answers and (b) a classifier using numeric features derived from various similarity measures with respect to model answers.
Holistic Influence Maximization: Combining Scalability and Efficiency with Opinion-Aware Models
In this paper, we propose a holistic solution to the influence maximization (IM) problem.
Social and Information Networks Databases H.2.8
Experiences in Resource Generation for Machine Translation through Crowdsourcing
The logistics of collecting resources for Machine Translation (MT) has always been a cause of concern for some of the resource deprived languages of the world.
