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Construction of Domain-Specific DistilBERT Model by Using Fine-Tuning

2020 International Conference on Technologies and Applications of Artificial Intelligence (TAAI), 2020
In this paper, we point out the problem that BERT is domain dependent, and propose to construct the domain specific pre-training DistilBERT model by using fine-tuning. In particular, parameters of a DistilBERT model are initialized using a trained BERT model, and then these parameters are tuned from the specific domain corpus.
Hiroyuki Shinnou
exaly   +2 more sources

LegalDB: Long DistilBERT for Legal Document Classification

2021 International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), 2021
Transformers have caused a paradigm shift in tasks related to natural language. From text summarization to classification, these models have established new state-of-the-art results on various general and closed domain tasks. Having said that, most of the popular transformer based models (BERT - Bidirectional Encoder Representations from Transformers ...
Purbid Bambroo, Aditi Awasthi
openaire   +1 more source

Fake News Detection Using Distilbert

Global Journal of Engineering Innovations and Interdisciplinary Research
The rapid spread of fake news and misinformation across digital platforms has emerged as a serious challenge to public trust and informed decision-making. This project focuses on addressing the problem of automated fake news detection by designing an efficient text classification system.
null M. Rama Raju   +4 more
openaire   +1 more source

Enhancing Legal Text Classification Performance by Using DistilBERT

Lecture Notes in Computer Science
Azreen Azman, Azman Azreen
exaly   +2 more sources

Sentiment Analysis using DistilBERT

2023 IEEE 11th Conference on Systems, Process & Control (ICSPC), 2023
Song Yi Ng   +3 more
openaire   +1 more source

DistilBERT and RoBERTa Models for Identification of Fake News

2023 46th MIPRO ICT and Electronics Convention (MIPRO), 2023
Aleksandar Kitanovski   +2 more
openaire   +1 more source

Detection of Web-Attack using DistilBERT, RNN, and LSTM

2023 11th International Symposium on Digital Forensics and Security (ISDFS), 2023
Biodoumoye George Bokolo   +2 more
openaire   +1 more source

CINESENTIMENT: FILM REVIEW CLASSIFICATION USING DISTILBERT

International Scientific Journal of Engineering and Management
ABSTRACT: CineSentiment is a privacy-preserving, serverless web application that enables users to gauge overall audience sentiment toward any given film. Given the enormous volume of online reviews available today, an automated solution is essential to assist viewers in making informed decisions about what to watch.
Sai Vasanth M   +4 more
openaire   +1 more source

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