1 code implementation • *SEM (NAACL) 2022 • Hieu Man, Minh Nguyen, Thien Nguyen
To facilitate the multi-task learning, we cast ECI into a generation problem that aims to generate both causal relation and dependency path words from input sentence.
1 code implementation • LREC 2022 • Khang Le, Hien Nguyen, Tung Le Thanh, Minh Nguyen
(4) The dataset is in Vietnamese, a low-resource language.
no code implementations • SIGDIAL (ACL) 2021 • Minh Nguyen, Zhou Yu
Deployed spoken dialog systems receive user input in the form of automatic speech recognition (ASR) transcripts, and simply applying NER model trained on written text to ASR transcripts often leads to low accuracy because compared to written text, ASR transcripts lack important cues such as punctuation and capitalization.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +4
1 code implementation • 21 Feb 2024 • Chandrajit Bajaj, Minh Nguyen
For many applications, the data are mixed and consist of several types of noisy time series sequences modeled by multiple stochastic processes, making the forecasting and classification tasks even more challenging.
1 code implementation • 24 Oct 2023 • Minh Nguyen, Alan Q. Wang, Heejong Kim, Mert R. Sabuncu
CoPA assumes that (1) generation mechanism is stable, i. e. label Y and confounding variable(s) Z generate X, and (2) the unstable conditional prevalence in each site E fully accounts for the unstable correlations between X and Y .
no code implementations • 21 Oct 2023 • Minh Nguyen, Gia H. Ngo, Mert R. Sabuncu
Given sufficient pairs of resting-state and task-evoked fMRI scans from subjects, it is possible to train ML models to predict subject-specific task-evoked activity using resting-state functional MRI (rsfMRI) scans.
1 code implementation • 21 Oct 2023 • Minh Nguyen, Nancy F. Chen
NLP models excel on tasks with clean inputs, but are less accurate with noisy inputs.
no code implementations • 6 Dec 2022 • Chandrajit Bajaj, Conrad Li, Minh Nguyen
In this paper, we develop a reinforcement learning (RL) framework in a continuous setting and based on a stochastic parametrized Hamiltonian version of the Pontryagin maximum principle (PMP) to solve the side-chain packing and protein-folding problem.
1 code implementation • 30 Oct 2022 • Rey Mendoza, Minh Nguyen, Judith Weng Zhu, Vincent Dumont, Talita Perciano, Juliane Mueller, Vidya Ganapati
However, obtaining high-quality object reconstructions for the training dataset requires high x-ray dose measurements that can destroy or alter the specimen before imaging is complete.
no code implementations • 13 Oct 2022 • Minh Nguyen, Gia H. Ngo, Mert R. Sabuncu
We call our approach GLACIAL, which stands for "Granger and LeArning-based CausalIty Analysis for Longitudinal studies."
2 code implementations • 11 Oct 2022 • Chinh Ngo, Trieu H. Trinh, Long Phan, Hieu Tran, Tai Dang, Hieu Nguyen, Minh Nguyen, Minh-Thang Luong
We introduce MTet, the largest publicly available parallel corpus for English-Vietnamese translation.
Ranked #1 on Machine Translation on IWSLT2015 English-Vietnamese (using extra training data)
no code implementations • 24 Jul 2022 • Gia H. Ngo, Minh Nguyen, Nancy F. Chen, Mert R. Sabuncu
In this paper, we present Text2Brain, an easy to use tool for synthesizing brain activation maps from open-ended text queries.
no code implementations • 3 Jul 2022 • Minh Nguyen, Nicolas Wu
Neural networks are typically represented as data structures that are traversed either through iteration or by manual chaining of method calls.
1 code implementation • Blog 2022 • Chinh Ngo, Hieu Tran, Long Phan, Trieu H. Trinh, Hieu Nguyen, Minh Nguyen, Minh-Thang Luong
We are excited to introduce a new larger and better quality Machine Translation dataset, MTet, which stands for Multi-domain Translation for English and VieTnamese.
1 code implementation • 12 Jan 2022 • Ekrem Çetinkaya, Minh Nguyen, Christian Timmerer
In this paper, we propose an open-source mobile platform, namely MoViDNN, to evaluate DNN based video quality enhancement methods, such as super-resolution, denoising, and deblocking.
no code implementations • 16 Nov 2021 • Hung Nguyen, Minh Nguyen, Long Pham, Jennifer Adorno Nieves
Our Q-learning-based system is then trained from the processed offline data set.
1 code implementation • 15 Nov 2021 • Chandrajit Bajaj, Minh Nguyen
Optimal control problems can be solved by applying the Pontryagin maximum principle and then solving for a Hamiltonian dynamical system.
2 code implementations • 28 Sep 2021 • Gia H. Ngo, Minh Nguyen, Nancy F. Chen, Mert R. Sabuncu
In this work, we propose Text2Brain, a neural network approach for coordinate-based meta-analysis of neuroimaging studies to synthesize brain activation maps from open-ended text queries.
no code implementations • EACL 2021 • Vu Tran, Van-Hien Tran, Phuong Nguyen, Chau Nguyen, Ken Satoh, Yuji Matsumoto, Minh Nguyen
This paper presents CovRelex, a scientific paper retrieval system targeting entities and relations via relation extraction on COVID-19 scientific papers.
no code implementations • 17 Nov 2020 • Kaihui Liang, Austin Chau, Yu Li, Xueyuan Lu, Dian Yu, Mingyang Zhou, Ishan Jain, Sam Davidson, Josh Arnold, Minh Nguyen, Zhou Yu
Gunrock 2. 0 is built on top of Gunrock with an emphasis on user adaptation.
1 code implementation • 27 Aug 2020 • Minh Nguyen, Gia H. Ngo, Nancy F. Chen
Spell check is a useful application which processes noisy human-generated text.
no code implementations • 25 Aug 2020 • Vishal Dey, Peter Krasniak, Minh Nguyen, Clara Lee, Xia Ning
Our study provides the first analysis and derived knowledge of BII from social media using NLP techniques, and demonstrates the potential of using social media information to better understand similar emerging illnesses.
no code implementations • 3 Jul 2020 • Quang Truong, Hy Dang, Zhankai Ye, Minh Nguyen, Bo Mei
Vehicle Re-identification is a challenging task due to intra-class variability and inter-class similarity across non-overlapping cameras.
4 code implementations • 9 Feb 2020 • Razvan V. Marinescu, Neil P. Oxtoby, Alexandra L. Young, Esther E. Bron, Arthur W. Toga, Michael W. Weiner, Frederik Barkhof, Nick C. Fox, Arman Eshaghi, Tina Toni, Marcin Salaterski, Veronika Lunina, Manon Ansart, Stanley Durrleman, Pascal Lu, Samuel Iddi, Dan Li, Wesley K. Thompson, Michael C. Donohue, Aviv Nahon, Yarden Levy, Dan Halbersberg, Mariya Cohen, Huiling Liao, Tengfei Li, Kaixian Yu, Hongtu Zhu, Jose G. Tamez-Pena, Aya Ismail, Timothy Wood, Hector Corrada Bravo, Minh Nguyen, Nanbo Sun, Jiashi Feng, B. T. Thomas Yeo, Gang Chen, Ke Qi, Shiyang Chen, Deqiang Qiu, Ionut Buciuman, Alex Kelner, Raluca Pop, Denisa Rimocea, Mostafa M. Ghazi, Mads Nielsen, Sebastien Ourselin, Lauge Sorensen, Vikram Venkatraghavan, Keli Liu, Christina Rabe, Paul Manser, Steven M. Hill, James Howlett, Zhiyue Huang, Steven Kiddle, Sach Mukherjee, Anais Rouanet, Bernd Taschler, Brian D. M. Tom, Simon R. White, Noel Faux, Suman Sedai, Javier de Velasco Oriol, Edgar E. V. Clemente, Karol Estrada, Leon Aksman, Andre Altmann, Cynthia M. Stonnington, Yalin Wang, Jianfeng Wu, Vivek Devadas, Clementine Fourrier, Lars Lau Raket, Aristeidis Sotiras, Guray Erus, Jimit Doshi, Christos Davatzikos, Jacob Vogel, Andrew Doyle, Angela Tam, Alex Diaz-Papkovich, Emmanuel Jammeh, Igor Koval, Paul Moore, Terry J. Lyons, John Gallacher, Jussi Tohka, Robert Ciszek, Bruno Jedynak, Kruti Pandya, Murat Bilgel, William Engels, Joseph Cole, Polina Golland, Stefan Klein, Daniel C. Alexander
TADPOLE's unique results suggest that current prediction algorithms provide sufficient accuracy to exploit biomarkers related to clinical diagnosis and ventricle volume, for cohort refinement in clinical trials for Alzheimer's disease.
1 code implementation • 20 Dec 2019 • Minh Nguyen, Gia H. Ngo, Nancy F. Chen
Using recursive neural network imposes a prior on the mapping from logographs to embeddings since the network must read in the sub-units in logographs according to the order specified by the recursive structures.
no code implementations • WS 2019 • Minh Nguyen, Gia H. Ngo, Nancy Chen
Finding that explicitly modeling structures leads to better generalization, we consider the task of predicting Cantonese pronunciations of logographs (Chinese characters) using logographs{'} recursive structures.
no code implementations • 7 Oct 2018 • Gia H. Ngo, Minh Nguyen, Nancy F. Chen
The problem is compounded by the limited linguistic resources available when converting foreign words to transliterated words in the target language.
1 code implementation • EMNLP 2018 • Minh Nguyen, Gia H. Ngo, Nancy F. Chen
Graphemes of most languages encode pronunciation, though some are more explicit than others.
no code implementations • COLING 2018 • Minh Nguyen, Thien Huu Nguyen
The early work in this field \cite{keith2017identifying} proposed a distant supervision framework based on Expectation Maximization (EM) to deal with the multiple appearances of the names in documents.
no code implementations • WS 2018 • Snigdha Singhania, Minh Nguyen, Gia H. Ngo, Nancy Chen
This paper reports the results of our trans-literation experiments conducted on NEWS 2018 Shared Task dataset.
no code implementations • 3 May 2018 • Minh Nguyen, Toan Nguyen, Thien Huu Nguyen
Anti-phishing aims to detect phishing content/documents in a pool of textual data.
no code implementations • 26 Aug 2017 • Minh Nguyen, Sanjay Purushotham, Hien To, Cyrus Shahabi
Multivariate time series (MTS) have become increasingly common in healthcare domains where human vital signs and laboratory results are collected for predictive diagnosis.