Gain more with less: Extracting information from business documents with small data

[PDF] arxiv.org

When Giant Language Brains Just Aren't Enough! Domain Pizzazz with Knowledge Sparkle Dust

MT Nguyen, DH Nguyen, S Sabahi, H Le… - arXiv preprint arXiv …, 2023 - arxiv.org
Large language models (LLMs) have significantly advanced the field of natural language
processing, with GPT models at the forefront. While their remarkable performance spans a …
被引用次数：2 相关文章 所有 3 个版本

Improving biomedical Named Entity Recognition with additional external contexts

BD Tho, MT Nguyen, DT Le, LL Ying, S Inoue… - Journal of Biomedical …, 2024 - Elsevier
Abstract Objective: Biomedical Named Entity Recognition (bio NER) is the task of
recognizing named entities in biomedical texts. This paper introduces a new model that …
相关文章 所有 3 个版本
[PDF] arxiv.org

Towards Safer Operations: An Expert-involved Dataset of High-Pressure Gas Incidents for Preventing Future Failures

S Inoue, MT Nguyen, H Mizokuchi, TAD Nguyen… - arXiv preprint arXiv …, 2023 - arxiv.org
This paper introduces a new IncidentAI dataset for safety prevention. Different from prior
corpora that usually contain a single task, our dataset comprises three tasks: named entity …
相关文章 所有 4 个版本