Thien Huu Nguyen

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University of Oregon ∙ NYU college

Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processing

We introduce Trankit, a light-weight Transformer-based Toolkit for multi...
01/09/2021 ∙ by Minh Nguyen, et al. ∙ 0 ∙ share

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Acronym Identification and Disambiguation Shared Tasks for Scientific Document Understanding

Acronyms are the short forms of longer phrases and they are frequently u...
12/22/2020 ∙ by Amir Pouran Ben Veyseh, et al. ∙ 0 ∙ share

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Structural and Functional Decomposition for Personality Image Captioning in a Communication Game

Personality image captioning (PIC) aims to describe an image with a natu...
11/17/2020 ∙ by Thu Nguyen, et al. ∙ 0 ∙ share

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What Does This Acronym Mean? Introducing a New Dataset for Acronym Identification and Disambiguation

Acronyms are the short forms of phrases that facilitate conveying length...
10/28/2020 ∙ by Amir Pouran Ben Veyseh, et al. ∙ 0 ∙ share

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Event Detection: Gate Diversity and Syntactic Importance Scoresfor Graph Convolution Neural Networks

Recent studies on event detection (ED) haveshown that the syntactic depe...
10/27/2020 ∙ by Viet Dac Lai, et al. ∙ 0 ∙ share

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Graph Transformer Networks with Syntactic and Semantic Structures for Event Argument Extraction

The goal of Event Argument Extraction (EAE) is to find the role of each ...
10/26/2020 ∙ by Amir Pouran Ben Veyseh, et al. ∙ 0 ∙ share

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Improving Aspect-based Sentiment Analysis with Gated Graph Convolutional Networks and Syntax-based Regulation

Aspect-based Sentiment Analysis (ABSA) seeks to predict the sentiment po...
10/26/2020 ∙ by Amir Pouran Ben Veyseh, et al. ∙ 0 ∙ share

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Introducing Syntactic Structures into Target Opinion Word Extraction with Deep Learning

Targeted opinion word extraction (TOWE) is a sub-task of aspect based se...
10/26/2020 ∙ by Amir Pouran Ben Veyseh, et al. ∙ 0 ∙ share

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Extensively Matching for Few-shot Learning Event Detection

Current event detection models under super-vised learning settings fail ...
06/17/2020 ∙ by Viet Dac Lai, et al. ∙ 0 ∙ share

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Exploiting the Matching Information in the Support Set for Few Shot Event Classification

The existing event classification (EC) work primarily focuseson the trad...
02/13/2020 ∙ by Viet Dac Lai, et al. ∙ 0 ∙ share

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Improving Slot Filling by Utilizing Contextual Information

Slot Filling is the task of extracting the semantic concept from a given...
11/05/2019 ∙ by Amir Pouran Ben Veyseh, et al. ∙ 0 ∙ share

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A Joint Model for Definition Extraction with Syntactic Connection and Semantic Consistency

Definition Extraction (DE) is one of the well-known topics in Informatio...
11/05/2019 ∙ by Amir Pouran Ben Veyseh, et al. ∙ 11 ∙ share

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On the Effectiveness of the Pooling Methods for Biomedical Relation Extraction with Deep Learning

Deep learning models have achieved state-of-the-art performances on many...
11/04/2019 ∙ by Tuan Ngo Nguyen, et al. ∙ 0 ∙ share

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Extending Event Detection to New Types with Learning from Keywords

Traditional event detection classifies a word or a phrase in a given sen...
10/24/2019 ∙ by Viet Dac Lai, et al. ∙ 0 ∙ share

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Improving Cross-Domain Performance for Relation Extraction via Dependency Prediction and Information Flow Control

Relation Extraction (RE) is one of the fundamental tasks in Information ...
07/07/2019 ∙ by Amir Pouran Ben Veyseh, et al. ∙ 0 ∙ share

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Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures

Event factuality prediction (EFP) is the task of assessing the degree to...
07/07/2019 ∙ by Amir Pouran Ben Veyseh, et al. ∙ 0 ∙ share

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One for All: Neural Joint Modeling of Entities and Events

The previous work for event extraction has mainly focused on the predict...
12/01/2018 ∙ by Trung Minh Nguyen, et al. ∙ 0 ∙ share

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Systematic Generalization: What Is Required and Can It Be Learned?

Numerous models for grounded language understanding have been recently p...
11/30/2018 ∙ by Dzmitry Bahdanau, et al. ∙ 6 ∙ share

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BabyAI: First Steps Towards Grounded Language Learning With a Human In the Loop

Allowing humans to interactively train artificial agents to understand l...
10/18/2018 ∙ by Maxime Chevalier-Boisvert, et al. ∙ 2 ∙ share

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Who is Killed by Police: Introducing Supervised Attention for Hierarchical LSTMs

Finding names of people killed by police has become increasingly importa...
07/09/2018 ∙ by Minh Nguyen, et al. ∙ 0 ∙ share

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A Deep Learning Model with Hierarchical LSTMs and Supervised Attention for Anti-Phishing

Anti-phishing aims to detect phishing content/documents in a pool of tex...
05/03/2018 ∙ by Minh Nguyen, et al. ∙ 0 ∙ share

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Toward Mention Detection Robustness with Recurrent Neural Networks

One of the key challenges in natural language processing (NLP) is to yie...
02/24/2016 ∙ by Thien Huu Nguyen, et al. ∙ 0 ∙ share

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Combining Neural Networks and Log-linear Models to Improve Relation Extraction

The last decade has witnessed the success of the traditional feature-bas...
11/18/2015 ∙ by Thien Huu Nguyen, et al. ∙ 0 ∙ share

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Thien Huu Nguyen

Featured Co-authors

Yoshua Bengio

Aaron Courville

Franck Dernoncourt

Dejing Dou

Radu Florian

Dzmitry Bahdanau

Minh Hoai

Walter Chang

Harm de Vries

Avirup Sil

Leo Anthony Celi

Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processing

Acronym Identification and Disambiguation Shared Tasks for Scientific Document Understanding

Structural and Functional Decomposition for Personality Image Captioning in a Communication Game

What Does This Acronym Mean? Introducing a New Dataset for Acronym Identification and Disambiguation

Event Detection: Gate Diversity and Syntactic Importance Scoresfor Graph Convolution Neural Networks

Graph Transformer Networks with Syntactic and Semantic Structures for Event Argument Extraction

Improving Aspect-based Sentiment Analysis with Gated Graph Convolutional Networks and Syntax-based Regulation

Introducing Syntactic Structures into Target Opinion Word Extraction with Deep Learning

Extensively Matching for Few-shot Learning Event Detection

Exploiting the Matching Information in the Support Set for Few Shot Event Classification

Improving Slot Filling by Utilizing Contextual Information

A Joint Model for Definition Extraction with Syntactic Connection and Semantic Consistency

On the Effectiveness of the Pooling Methods for Biomedical Relation Extraction with Deep Learning

Extending Event Detection to New Types with Learning from Keywords

Improving Cross-Domain Performance for Relation Extraction via Dependency Prediction and Information Flow Control

Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures

One for All: Neural Joint Modeling of Entities and Events

Systematic Generalization: What Is Required and Can It Be Learned?

BabyAI: First Steps Towards Grounded Language Learning With a Human In the Loop

Who is Killed by Police: Introducing Supervised Attention for Hierarchical LSTMs

A Deep Learning Model with Hierarchical LSTMs and Supervised Attention for Anti-Phishing

Toward Mention Detection Robustness with Recurrent Neural Networks

Combining Neural Networks and Log-linear Models to Improve Relation Extraction