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08/21/2023
An Effective Method using Phrase Mechanism in Neural Machine Translation
Machine Translation is one of the essential tasks in Natural Language Pr...
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06/08/2023
Improving Vietnamese Legal Question–Answering System based on Automatic Data Enrichment
Question answering (QA) in law is a challenging problem because legal do...
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12/16/2022
Law to Binary Tree – An Formal Interpretation of Legal Natural Language
Knowledge representation and reasoning in law are essential to facilitat...
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12/13/2022
Attentive Deep Neural Networks for Legal Document Retrieval
Legal text retrieval serves as a key component in a wide range of legal ...
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02/13/2022
Transformer-based Approaches for Legal Text Processing
In this paper, we introduce our approaches using Transformer-based model...
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09/11/2021
HYDRA – Hyper Dependency Representation Attentions
Attention is all we need as long as we have enough data. Even so, it is ...
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04/15/2021
Sublanguage: A Serious Issue Affects Pretrained Models in Legal Domain
Legal English is a sublanguage that is important for everyone but not fo...
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03/08/2021
SCNN: Swarm Characteristic Neural Network
Deep learning is a powerful approach with good performance on many diffe...
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12/16/2020
Improving Multilingual Neural Machine Translation For Low-Resource Languages: French-, English- Vietnamese
Prior works have demonstrated that a low-resource language pair can bene...
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10/07/2019
Overcoming the Rare Word Problem for Low-Resource Language Pairs in Neural Machine Translation
Among the six challenges of neural machine translation (NMT) coined by (...
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10/05/2019
How Transformer Revitalizes Character-based Neural Machine Translation: An Investigation on Japanese-Vietnamese Translation Systems
While translating between Chinese-centric languages, many works have dis...
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11/10/2018
Dual Latent Variable Model for Low-Resource Natural Language Generation in Dialogue Systems
Recent deep learning models have shown improving results to natural lang...
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08/08/2018
Adversarial Domain Adaptation for Variational Neural Language Generation in Dialogue Systems
Domain Adaptation arises when we aim at learning from source domain a mo...
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05/18/2018
Combining Advanced Methods in Japanese-Vietnamese Neural Machine Translation
Neural machine translation (NMT) systems have recently obtained state-of...
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06/21/2017
Neural-based Natural Language Generation in Dialogue using RNN Encoder-Decoder with Semantic Aggregation
Natural language generation (NLG) is an important component in spoken di...
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06/01/2017
Natural Language Generation for Spoken Dialogue System using RNN Encoder-Decoder Networks
Natural language generation (NLG) is a critical component in a spoken di...
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06/01/2017
