Ishan Jindal | DeepAI

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∙ 11/15/2022

When to Use What: An In-Depth Comparative Empirical Analysis of OpenIE Systems for Downstream Applications

Open Information Extraction (OpenIE) has been used in the pipelines of v...

0 Kevin Pei, et al. ∙

∙ 10/12/2022

PriMeSRL-Eval: A Practical Quality Metric for Semantic Role Labeling Systems Evaluation

Semantic role labeling (SRL) identifies the predicate-argument structure...

0 Ishan Jindal, et al. ∙

∙ 10/01/2021

OPAD: An Optimized Policy-based Active Learning Framework for Document Content Analysis

Documents are central to many business systems, and include forms, repor...

4 Sumit Shekhar, et al. ∙

∙ 11/29/2020

Improved Semantic Role Labeling using Parameterized Neighborhood Memory Adaptation

Deep neural models achieve some of the best results for semantic role la...

0 Ishan Jindal, et al. ∙

∙ 11/09/2020

CLAR: A Cross-Lingual Argument Regularizer for Semantic Role Labeling

Semantic role labeling (SRL) identifies predicate-argument structure(s) ...

0 Ishan Jindal, et al. ∙

∙ 03/18/2019

An Effective Label Noise Model for DNN Text Classification

Because large, human-annotated datasets suffer from labeling errors, it ...

0 Ishan Jindal, et al. ∙

∙ 11/11/2018

Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining

In this paper, we develop a reinforcement learning (RL) based system to ...

0 Ishan Jindal, et al. ∙

∙ 10/25/2018

Tensor Matched Kronecker-Structured Subspace Detection for Missing Information

We consider the problem of detecting whether a tensor signal having many...

0 Ishan Jindal, et al. ∙

∙ 10/12/2017

A Unified Neural Network Approach for Estimating Travel Time and Distance for a Taxi Trip

In building intelligent transportation systems such as taxi or rideshare...

0 Ishan Jindal, et al. ∙

∙ 05/09/2017

Learning Deep Networks from Noisy Labels with Dropout Regularization

Large datasets often have unreliable labels-such as those obtained from ...

0 Ishan Jindal, et al. ∙

∙ 05/07/2017

Performance Limits on the Classification of Kronecker-structured Models

Kronecker-structured (K-S) models recently have been proposed for the ef...

0 Ishan Jindal, et al. ∙

∙ 02/17/2015

SA-CNN: Dynamic Scene Classification using Convolutional Neural Networks

The task of classifying videos of natural dynamic scenes into appropriat...

0 Aalok Gangopadhyay, et al. ∙

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