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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...
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10/12/2022
PriMeSRL-Eval: A Practical Quality Metric for Semantic Role Labeling Systems Evaluation
Semantic role labeling (SRL) identifies the predicate-argument structure...
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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...
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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...
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11/09/2020
CLAR: A Cross-Lingual Argument Regularizer for Semantic Role Labeling
Semantic role labeling (SRL) identifies predicate-argument structure(s) ...
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03/18/2019
An Effective Label Noise Model for DNN Text Classification
Because large, human-annotated datasets suffer from labeling errors, it ...
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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 ...
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10/25/2018
Tensor Matched Kronecker-Structured Subspace Detection for Missing Information
We consider the problem of detecting whether a tensor signal having many...
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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...
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05/09/2017
Learning Deep Networks from Noisy Labels with Dropout Regularization
Large datasets often have unreliable labels-such as those obtained from ...
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05/07/2017
Performance Limits on the Classification of Kronecker-structured Models
Kronecker-structured (K-S) models recently have been proposed for the ef...
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02/17/2015
