no code implementations • 14 May 2024 • Yao Wang, Xin Liu, Weikun Kong, Hai-Tao Yu, Teeradaj Racharak, Kyoung-Sook Kim, Minh Le Nguyen
Second, information interaction mainly focuses on the two subtasks, leaving the fine-grained informtion interaction among the subtask-specific features of encoding subjects, relations, and objects unexplored.
no code implementations • 15 Sep 2023 • Vu Tran, Minh Le Nguyen, Satoshi Tojo, Ken Satoh
We present our method for tackling a legal case retrieval task by introducing our method of encoding documents by summarizing them into continuous vector space via our phrase scoring framework utilizing deep neural networks.
1 code implementation • 19 Aug 2023 • Yosuke Miyanishi, Minh Le Nguyen
This paper demonstrates that hateful meme detection can be viewed as an ATE estimation using intersectionality principles, and summarized gradient-based attention scores highlight distinct behaviors of three Transformer models.
1 code implementation • Applied Intelligence 2022 • Phuong Minh Nguyen, Tung Le, Huy Tien Nguyen, Vu Tran, Minh Le Nguyen
In addition, to prove the generalization of our proposed model, we also conduct extensive experiments on three translation datasets IWLST14 German-English, IWSLT15 Vietnamese-English, WMT14 English-German, and show significant improvement.
Ranked #1 on Semantic Parsing on ATIS
no code implementations • 4 Nov 2022 • Hieu Nguyen Van, Dat Nguyen, Phuong Minh Nguyen, Minh Le Nguyen
We introduce efficient deep learning-based methods for legal document processing including Legal Document Retrieval and Legal Question Answering tasks in the Automated Legal Question Answering Competition (ALQAC 2022).
no code implementations • 25 Jun 2021 • Ha-Thanh Nguyen, Phuong Minh Nguyen, Thi-Hai-Yen Vuong, Quan Minh Bui, Chau Minh Nguyen, Binh Tran Dang, Vu Tran, Minh Le Nguyen, Ken Satoh
COLIEE is an annual competition in automatic computerized legal text processing.
no code implementations • 25 Jun 2021 • Ha-Thanh Nguyen, Vu Tran, Phuong Minh Nguyen, Thi-Hai-Yen Vuong, Quan Minh Bui, Chau Minh Nguyen, Binh Tran Dang, Minh Le Nguyen, Ken Satoh
Ambiguity is a characteristic of natural language, which makes expression ideas flexible.
1 code implementation • 1 Jan 2021 • Phuong Minh Nguyen, Vu Tran, Minh Le Nguyen
Semantic parsing is a challenging task whose purpose is to convert a natural language utterance to machine-understandable information representation.
no code implementations • COLING 2020 • Phi Manh Kien, Ha-Thanh Nguyen, Ngo Xuan Bach, Vu Tran, Minh Le Nguyen, Tu Minh Phuong
We present a retrieval-based model for the task by learning neural attentive text representation.
no code implementations • Asian Chapter of the Association for Computational Linguistics 2020 • Zhiyu Guo, Minh Le Nguyen
Large-scale pre-trained representations such as BERT have been widely used in many natural language understanding tasks.
1 code implementation • 4 Nov 2020 • Ha-Thanh Nguyen, Hai-Yen Thi Vuong, Phuong Minh Nguyen, Binh Tran Dang, Quan Minh Bui, Sinh Trong Vu, Chau Minh Nguyen, Vu Tran, Ken Satoh, Minh Le Nguyen
We propose deep learning based methods for automatic systems of legal retrieval and legal question-answering in COLIEE 2020.
no code implementations • 29 Sep 2020 • Vu Tran, Minh Le Nguyen, Ken Satoh
On one hand, we adopt a summarization based model called encoded summarization which encodes a given document into continuous vector space which embeds the summary properties of the document.
no code implementations • 14 Sep 2018 • Vu Tran, Minh Le Nguyen, Ken Satoh
In this paper, we present a method of automatic catchphrase extracting from legal case documents.
1 code implementation • 14 Feb 2018 • Anh Viet Phan, Minh Le Nguyen, Lam Thu Bui
Existing defects in software components is unavoidable and leads to not only a waste of time and money but also many serious consequences.
no code implementations • IJCNLP 2017 • Huy Thanh Nguyen, Minh Le Nguyen
Tweet-level sentiment classification in Twitter social networking has many challenges: exploiting syntax, semantic, sentiment, and context in tweets.
no code implementations • IJCNLP 2017 • Huy Tien Nguyen, Minh Le Nguyen
Deep learning models have recently been applied successfully in natural language processing, especially sentiment analysis.
no code implementations • EACL 2017 • Danilo Silva de Carvalho, Minh Le Nguyen
The results also indicate noticeable performance gains when combining distributional similarity scores with the ones obtained using this approach.
no code implementations • 3 Sep 2016 • Danilo S. Carvalho, Minh-Tien Nguyen, Tran Xuan Chien, Minh Le Nguyen
In the context of the Competition on Legal Information Extraction/Entailment (COLIEE), we propose a method comprising the necessary steps for finding relevant documents to a legal question and deciding on textual entailment evidence to provide a correct answer.