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Nikkei at SemEval-2022 Task 8: Exploring BERT-based Bi-Encoder Approach for Pairwise Multilingual News Article Similarity
This paper describes our system in SemEval-2022 Task 8, where participants were required to predict the similarity of two multilingual news articles.
Quantifying Memorization of Domain-Specific Pre-trained Language Models using Japanese Newspaper and Paywalls
In this study, we pre-trained domain-specific GPT-2 models using a limited corpus of Japanese newspaper articles and quantified memorization of training data by comparing them with general Japanese GPT-2 models.
Generating News-Centric Crossword Puzzles As A Constraint Satisfaction and Optimization Problem
Crossword puzzles have traditionally served not only as entertainment but also as an educational tool that can be used to acquire vocabulary and language proficiency.
Training Data Extraction From Pre-trained Language Models: A Survey
This study is the first to provide a comprehensive survey of training data extraction from PLMs.
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