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01/30/2023
Fairness and Accuracy under Domain Generalization
As machine learning (ML) algorithms are increasingly used in high-stakes...
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09/25/2021
Cardiac Complication Risk Profiling for Cancer Survivors via Multi-View Multi-Task Learning
Complication risk profiling is a key challenge in the healthcare domain ...
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02/26/2019
Multi-Task Learning with Contextualized Word Representations for Extented Named Entity Recognition
Fine-Grained Named Entity Recognition (FG-NER) is critical for many NLP ...
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11/28/2017
Vietnamese Semantic Role Labelling
In this paper, we study semantic role labelling (SRL), a subtask of sema...
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09/20/2017
On the Use of Machine Translation-Based Approaches for Vietnamese Diacritic Restoration
This paper presents an empirical study of two machine translation-based ...
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08/30/2017
An Empirical Study of Discriminative Sequence Labeling Models for Vietnamese Text Processing
This paper presents an empirical study of two widely-used sequence predi...
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08/24/2017
NNVLP: A Neural Network-Based Vietnamese Language Processing Toolkit
This paper demonstrates neural network-based toolkit namely NNVLP for es...
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05/29/2017
The Importance of Automatic Syntactic Features in Vietnamese Named Entity Recognition
This paper presents a state-of-the-art system for Vietnamese Named Entit...
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05/11/2017
End-to-end Recurrent Neural Network Models for Vietnamese Named Entity Recognition: Word-level vs. Character-level
This paper demonstrates end-to-end neural network architectures for Viet...
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05/11/2017
Building a Semantic Role Labelling System for Vietnamese
Semantic role labelling (SRL) is a task in natural language processing w...
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05/11/2017
