Thien Huu Nguyen

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Unsupervised Domain Adaptation for Event Detection using Domain-specific Adapters.

[BibT_eX]

[DOI]

Nghia Trung Ngo

Duy Phung

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Event Extraction from Historical Texts: A New Dataset for Black Rebellions.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Acronym Identification and Disambiguation Shared Tasks for Scientific Document Understanding.

[BibT_eX]

[DOI]

Proceedings of the Workshop on Scientific Document Understanding co-located with 35th AAAI Conference on Artificial Inteligence, 2021

2020

Bag of biterms modeling for short texts.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Learning to Select Important Context Words for Event Detection.

[BibT_eX]

[DOI]

Nghia Trung Ngo

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

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

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

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

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Introducing Syntactic Structures into Target Opinion Word Extraction with Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Introducing a New Dataset for Event Detection in Cybersecurity Texts.

[BibT_eX]

[DOI]

Hieu Man Duc Trong

Duc-Trong Le

Thuat Nguyen

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

The Dots Have Their Values: Exploiting the Node-Edge Connections in Graph-based Neural Models for Document-level Relation Extraction.

[BibT_eX]

[DOI]

Hieu Minh Tran

Trung Minh Nguyen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

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

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Event Detection: Gate Diversity and Syntactic Importance Scores for Graph Convolution Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

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

[BibT_eX]

[DOI]

Quan Hung Tran

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Exploiting Node Content for Multiview Graph Convolutional Network and Adversarial Regularization.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Exploiting the Syntax-Model Consistency for Neural Relation Extraction.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Extensively Matching for Few-shot Learning Event Detection.

[BibT_eX]

[DOI]

Proceedings of the First Joint Workshop on Narrative Understanding, Storylines, and Events, 2020

Multi-View Consistency for Relation Extraction via Mutual Information and Structure Prediction.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

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

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Improving Slot Filling by Utilizing Contextual Information.

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

Maxime Chevalier-Boisvert

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

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

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Learning Electronic Health Records through Hyperbolic Embedding of Medical Ontologies.

[BibT_eX]

[DOI]

Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

Rumor detection in social networks via deep contextual modeling.

[BibT_eX]

[DOI]

My T. Thai

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

Extending Event Detection to New Types with Learning from Keywords.

[BibT_eX]

[DOI]

Proceedings of the 5th Workshop on Noisy User-generated Text, 2019

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

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Employing the Correspondence of Relations and Connectives to Identify Implicit Discourse Relations via Label Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

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

[BibT_eX]

[DOI]

Proceedings of the Tenth International Workshop on Health Text Mining and Information Analysis LOUHI@EMNLP 2019, 2019

One for All: Neural Joint Modeling of Entities and Events.

[BibT_eX]

[DOI]

Trung Minh Nguyen

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Deep Learning for Information Extraction.

[BibT_eX]

[DOI]

Maxime Chevalier-Boisvert

PhD thesis, 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

Minh Nguyen

Toan Nguyen

CoRR, 2018

Similar but not the Same - Word Sense Disambiguation Improves Event Detection via Neural Representation Matching.

[BibT_eX]

[DOI]

Weiyi Lu

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

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

[BibT_eX]

[DOI]

Minh Nguyen

Proceedings of the 27th International Conference on Computational Linguistics, 2018

A Case Study on Learning a Unified Encoder of Relations.

[BibT_eX]

[DOI]

Proceedings of the 4th Workshop on Noisy User-generated Text, 2018

Graph Convolutional Networks With Argument-Aware Pooling for Event Detection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Domain Adaptation for Relation Extraction with Domain Adversarial Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

2016

Toward Mention Detection Robustness with Recurrent Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2016

New York University 2016 System for KBP Event Nugget: A Deep Learning Approach.

[BibT_eX]

[DOI]

Adam Meyers

Proceedings of the 2016 Text Analysis Conference, 2016

A Two-stage Approach for Extending Event Detection to New Types via Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 1st Workshop on Representation Learning for NLP, 2016

Joint Event Extraction via Recurrent Neural Networks.

[BibT_eX]

[DOI]

Kyunghyun Cho

Proceedings of the NAACL HLT 2016, 2016

Modeling Skip-Grams for Event Detection with Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Joint Learning of Local and Global Features for Entity Linking via Neural Networks.

[BibT_eX]

[DOI]

Alfio Massimiliano Gliozzo

Nicolas R. Fauceglia

Mariano Rodriguez-Muro

Oktie Hassanzadeh

Mohammad Sadoghi

Proceedings of the COLING 2016, 2016

2015

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

[BibT_eX]

[DOI]

CoRR, 2015

Relation Extraction: Perspective from Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing, 2015

Semantic Representations for Domain Adaptation: A Case Study on the Tree Kernel-based Method for Relation Extraction.

[BibT_eX]

[DOI]

Barbara Plank

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Event Detection and Domain Adaptation with Convolutional Neural Networks.

[BibT_eX]

[DOI]

2014

Employing Word Representations and Regularization for Domain Adaptation of Relation Extraction.

[BibT_eX]

[DOI]