Search Results for author: Thong Nguyen

Found 7 papers, 3 papers with code

Vision-and-Language Pretraining

no code implementations5 Jul 2022 Thong Nguyen, Cong-Duy Nguyen, Xiaobao Wu, Anh Tuan Luu

Inheriting the spirit of Transfer Learning, research works in V&L have devised multiple pretraining techniques on large-scale datasets in order to enhance the performance of downstream tasks.

Image Classification Machine Translation +4

Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires

1 code implementation ACL 2022 Thong Nguyen, Andrew Yates, Ayah Zirikly, Bart Desmet, Arman Cohan

In dataset-transfer experiments on three social media datasets, we find that grounding the model in PHQ9's symptoms substantially improves its ability to generalize to out-of-distribution data compared to a standard BERT-based approach.

Depression Detection Domain Generalization

Improving Neural Cross-Lingual Summarization via Employing Optimal Transport Distance for Knowledge Distillation

1 code implementation7 Dec 2021 Thong Nguyen, Luu Anh Tuan

Current state-of-the-art cross-lingual summarization models employ multi-task learning paradigm, which works on a shared vocabulary module and relies on the self-attention mechanism to attend among tokens in two languages.

Knowledge Distillation Multi-Task Learning

Contrastive Learning for Neural Topic Model

1 code implementation NeurIPS 2021 Thong Nguyen, Anh Tuan Luu

Recent empirical studies show that adversarial topic models (ATM) can successfully capture semantic patterns of the document by differentiating a document with another dissimilar sample.

Contrastive Learning Topic Models

Enriching and Controlling Global Semantics for Text Summarization

no code implementations EMNLP 2021 Thong Nguyen, Anh Tuan Luu, Truc Lu, Tho Quan

Recently, Transformer-based models have been proven effective in the abstractive summarization task by creating fluent and informative summaries.

Abstractive Text Summarization Text Generation

Adaptive Name Entity Recognition under Highly Unbalanced Data

no code implementations10 Mar 2020 Thong Nguyen, Duy Nguyen, Pramod Rao

For several purposes in Natural Language Processing (NLP), such as Information Extraction, Sentiment Analysis or Chatbot, Named Entity Recognition (NER) holds an important role as it helps to determine and categorize entities in text into predefined groups such as the names of persons, locations, quantities, organizations or percentages, etc.

Chatbot named-entity-recognition +3

Fast Transient Simulation of High-Speed Channels Using Recurrent Neural Network

no code implementations25 Jan 2019 Thong Nguyen, Tianjian Lu, Ken Wu, Jose Schutt-Aine

In this paper, we leverage machine learning methods, to be specific, the recurrent neural network (RNN), to generate black-box macromodels and achieve significant reduction of computation time.

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