52 citations · 74 across the 3 of their papers we have counts for
5 papers
HYDRA -- Hyper Dependency Representation Attentions
Ha-Thanh Nguyen, Vu Tran, Tran-Binh Dang +3
Attention is all we need as long as we have enough data. Even so, it is sometimes not easy to determine how much data is enough while the models are becoming larger and larger. In…
JNLP Team: Deep Learning for Legal Processing in COLIEE 2020
Ha-Thanh Nguyen, Hai-Yen Thi Vuong, Phuong Minh Nguyen +7
We propose deep learning based methods for automatic systems of legal retrieval and legal question-answering in COLIEE 2020. These systems are all characterized by being pre-traine…
Building Legal Case Retrieval Systems with Lexical Matching and Summarization using A Pre-Trained Phrase Scoring Model
Vu Tran, Minh Le Nguyen, Ken Satoh
We present our method for tackling the legal case retrieval task of the Competition on Legal Information Extraction/Entailment 2019. Our approach is based on the idea that summariz…
Automatic Catchphrase Extraction from Legal Case Documents via Scoring using Deep Neural Networks
Vu Tran, Minh Le Nguyen, Ken Satoh
In this paper, we present a method of automatic catchphrase extracting from legal case documents. We utilize deep neural networks for constructing scoring model of our extraction s…
Improving Legal Information Retrieval by Distributional Composition with Term Order Probabilities
Danilo S. Carvalho, Duc-Vu Tran, Van-Khanh Tran +1
Legal professionals worldwide are currently trying to get up-to-pace with the explosive growth in legal document availability through digital means. This drives a need for high eff…