0% Complete
English
صفحه اصلی
/
پانزدهمین کنفرانس بین المللی فناوری اطلاعات و دانش
Knowledge Extraction from Technical Reports Based on Large Language Models: An Exploratory Study
نویسندگان :
Parsa Bakhtiari
1
Hassan Bashiri
2
Alireza Khalilipour
3
Masoud Nasiripour
4
Moharram Challenger
5
1- دانشگاه صنعتی همدان
2- دانشگاه صنعتی همدان
3- University of Antwerp
4- دانشگاه صنعتی همدان
5- University of Antwerp
کلمات کلیدی :
Knowledge Extraction،Large Language Model،Fine Tuning
چکیده :
Organizations and companies possess a vast amount of documents generated over the years. These documents contain valuable information and knowledge that can be instrumental in resolving ambiguities and challenges experts face. Information retrieval and knowledge management systems are tools for extracting documents relevant to users’ informational needs, addressing part of the knowledge extraction challenge from these document collections. With the emergence of generative artificial intelligence and large language models that exhibit strong capa- bilities in understanding textual documents, knowledge extraction solutions have shifted towards utilizing these models. Large language models possess general knowledge obtained from pre- training methods, and there are various approaches to infuse domain-specific knowledge into the general understanding of the language model. This research first examines the possible techniques for fine-tuning a large language model in a specific domain. We then train the model using fine-tuning methods on a collection of documents and technical reports from the industry. Finally, we measure the improvement in the large language model’s capability to extract domain-specific knowledge.
لیست مقالات
لیست مقالات بایگانی شده
Integrating Wasserstein GANs for High-Speed Transformer-Based Neural Machine Translation
Parisa Nekoogol - Mostafa Salehi
Analysing effect of news polarity on stock market prediction: a machine learning approach
Golshid Ranjbaran - Dr Mohammad-Shahram Moin - Dr Sasan H Alizadeh - Dr Abbas Koochari
Artificial Empathy in AI-Based Mental Health: A Review
Shabnam Moradi
A New Method Based on Deep Learning and Time Stabilization of the Propagation Path for Fake News Detection
Fatemeh Torgheh - Dr Mohammad Reza Keyvanpour - Dr Behrooz Masoumi
A Hybrid Crow Search and Penguin Optimization Algorithm (CPMM) for Efficient Cloud Workflow Scheduling
Reza Akraminejad - Farhad Kazemipour - Mozhdeh Koreh Davoodi
A Data-Efficient Approach to Solar Panel Micro-Crack Detection via Self-Supervised Learning
Alireza Akhavan safaei - Pegah Saboori - Reza Ramezani - Morteza Tavana
DynamicEvoStream : خوشه بندی پویای جریان داده تکاملی در زمانهای بیکاری
زهرا عمیقی - مرتضی یوسف صنعتی - میرحسین دزفولیان
Adaptive Stopping Criteria-based A-RANSAC algorithm in Copy Move Image Forgery detection
ZAHRA HOSEINNEJAD - Dr MEHDI NASRI
Improving hypergraph attention and hypergraph convolution networks
Mustafa Mohammadi Gharasuie - Mahmood Shabankhah - Ali Kamandi
A Framework for Systematic Stability Assessment of Post-hoc Explanations in Text Classification
Parman Mohammadalizadeh - Parham Mohammadalizadeh - Ayda Mahmoudian
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.5.2