2 citations · 3 across the 5 of their papers we have counts for
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VLQA: The First Comprehensive, Large, and High-Quality Vietnamese Dataset for Legal Question Answering
Tan-Minh Nguyen, Hoang-Trung Nguyen, Trong-Khoi Dao +3
The advent of large language models (LLMs) has led to significant achievements in various domains, including legal text processing. Leveraging LLMs for legal tasks is a natural evo…
Exploiting LLMs' Reasoning Capability to Infer Implicit Concepts in Legal Information Retrieval
Hai-Long Nguyen, Tan-Minh Nguyen, Duc-Minh Nguyen +3
Statutory law retrieval is a typical problem in legal language processing, that has various practical applications in law engineering. Modern deep learning-based retrieval methods…
Improving Vietnamese Legal Question--Answering System based on Automatic Data Enrichment
Thi-Hai-Yen Vuong, Ha-Thanh Nguyen, Quang-Huy Nguyen +2
Question answering (QA) in law is a challenging problem because legal documents are much more complicated than normal texts in terms of terminology, structure, and temporal and log…
Non-Standard Vietnamese Word Detection and Normalization for Text-to-Speech
Huu-Tien Dang, Thi-Hai-Yen Vuong, Xuan-Hieu Phan
Converting written texts into their spoken forms is an essential problem in any text-to-speech (TTS) systems. However, building an effective text normalization solution for a real-…
Dialogue Act Segmentation for Vietnamese Human-Human Conversational Texts
Thi Lan Ngo, Khac Linh Pham, Minh Son Cao +2
Dialog act identification plays an important role in understanding conversations. It has been widely applied in many fields such as dialogue systems, automatic machine translation,…