Ishan Jindal
12 papers · 2019–2025 · 5 venues · across top CS/AI venues
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Research topics
Natural Language Processing
(10)
Machine Learning
(8)
Learning Types Β· Machine Learning
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Artificial Intelligence
(5)
Applications
(4)
Core AI
(4)
Understanding
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(2)
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Keywords
semantic role labeling
(3)
semantic parsing
(3)
large language model
(3)
text representation
(2)
transfer learning
(2)
relation extraction
(2)
label noise
(2)
open information extraction
(2)
downstream task
(2)
text classification
(2)
argument classification
(2)
low-resource learning
(2)
abstract meaning representation
(1)
explanation generation
(1)
natural language inference
(1)
error propagation
(1)
syntax parsing
(1)
text analysis
(1)
natural language understanding
(1)
question answering
(1)
Papers
Identifying Noise in Human-Created Datasets using Training Dynamics from Generative Models
EMNLP 2025
Offloaded Reasoning: Efficient Inference for Large Language Models via Modular Reasoning and Refinement
EMNLP 2025
Meaning Representations for Natural Languages: Design, Models and Applications
COLING 2024
Abstractive Open Information Extraction
EMNLP 2023
Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture
EMNLP 2023
PriMeSRL-Eval: A Practical Quality Metric for Semantic Role Labeling Systems Evaluation
EACL 2023
When to Use What: An In-Depth Comparative Empirical Analysis of OpenIE Systems for Downstream Applications
ACL 2023
A Comparative Analysis between Human-in-the-loop Systems and Large Language Models for Pattern Extraction Tasks
EMNLP 2022
Label Definitions Improve Semantic Role Labeling
NAACL 2022
Meaning Representations for Natural Languages: Design, Models and Applications
EMNLP 2022
CLAR: A Cross-Lingual Argument Regularizer for Semantic Role Labeling
EMNLP 2020
An Effective Label Noise Model for DNN Text Classification
NAACL 2019