Ishan Jindal

Orcid: 0000-0002-8854-4189

According to our database1, Ishan Jindal authored at least 24 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Beyond Labels: Empowering Human with Natural Language Explanations through a Novel Active-Learning Architecture.
CoRR, 2023

Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Abstractive Open Information Extraction.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

PriMeSRL-Eval: A Practical Quality Metric for Semantic Role Labeling Systems Evaluation.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

When to Use What: An In-Depth Comparative Empirical Analysis of OpenIE Systems for Downstream Applications.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Label Definitions Improve Semantic Role Labeling.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Universal Proposition Bank 2.0.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

OPAD: An Optimized Policy-based Active Learning Framework for Document Content Analysis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation.
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CoRR, 2021

2020
Improved Semantic Role Labeling using Parameterized Neighborhood Memory Adaptation.
CoRR, 2020

CLAR: A Cross-Lingual Argument Regularizer for Semantic Role Labeling.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019
An Effective Label Noise Model for DNN Text Classification.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Tensor Matched Kronecker-structured Subspace Detection for Missing Information.
Proceedings of the IEEE International Conference on Acoustics, 2019

A Nonlinear, Noise-aware, Quasi-clustering Approach to Learning Deep CNNs from Noisy Labels.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Classification and Representation via Separable Subspaces: Performance Limits and Algorithms.
IEEE J. Sel. Top. Signal Process., 2018

Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
A Unified Neural Network Approach for Estimating Travel Time and Distance for a Taxi Trip.
CoRR, 2017

Performance limits on the classification of Kronecker-structured models.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Fast and compact Kronecker-structured dictionary learning for classification and representation.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Learning Deep Networks from Noisy Labels with Dropout Regularization.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Dynamic scene classification using convolutional neural networks.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015
Effective Object Tracking in Unstructured Crowd Scenes.
CoRR, 2015

SA-CNN: Dynamic Scene Classification using Convolutional Neural Networks.
CoRR, 2015

Semantic description of a video using representative frames.
Proceedings of the 2015 Fifth National Conference on Computer Vision, 2015


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