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05/13/2020
INFOTABS: Inference on Tables as Semi-structured Data
In this paper, we observe that semi-structured tabulated text is ubiquit...
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03/31/2020
DeepSumm – Deep Code Summaries using Neural Transformer Architecture
Source code summarizing is a task of writing short, natural language des...
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11/18/2019
Improving Document Classification with Multi-Sense Embeddings
Efficient representation of text documents is an important building bloc...
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10/05/2019
On Dimensional Linguistic Properties of the Word Embedding Space
Word embeddings have become a staple of several natural language process...
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09/07/2019
Equalizing Recourse across Groups
The rise in machine learning-assisted decision-making has led to concern...
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08/31/2019
A Logic-Driven Framework for Consistency of Neural Models
While neural models show remarkable accuracy on individual predictions, ...
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02/17/2018
Bayes-optimal Hierarchical Classification over Asymmetric Tree-Distance Loss
Hierarchical classification is supervised multi-class classification pro...
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11/15/2017
Efficient Estimation of Generalization Error and Bias-Variance Components of Ensembles
For many applications, an ensemble of base classifiers is an effective s...
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09/18/2017
Leveraging Distributional Semantics for Multi-Label Learning
We present a novel and scalable label embedding framework for large-scal...
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06/06/2017
Text Summarization using Abstract Meaning Representation
With an ever increasing size of text present on the Internet, automatic ...
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12/20/2016
User Bias Removal in Review Score Prediction
Review score prediction of text reviews has recently gained a lot of att...
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12/20/2016
SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations
We present a feature vector formation technique for documents - Sparse C...
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06/20/2016
