9 citations · 20 across the 6 of their papers we have counts for
6 papers
Mutual Reinforcement Effects in Japanese Sentence Classification and Named Entity Recognition Tasks
Chengguang Gan, Qinghao Zhang, Tatsunori Mori
Information extraction(IE) is a crucial subfield within natural language processing. However, for the traditionally segmented approach to sentence classification and Named Entity R…
Sentence-to-Label Generation Framework for Multi-task Learning of Japanese Sentence Classification and Named Entity Recognition
Chengguang Gan, Qinghao Zhang, Tatsunori Mori
Information extraction(IE) is a crucial subfield within natural language processing. In this study, we introduce a Sentence Classification and Named Entity Recognition Multi-task (…
Sensitivity and Robustness of Large Language Models to Prompt Template in Japanese Text Classification Tasks
Chengguang Gan, Tatsunori Mori
Prompt engineering relevance research has seen a notable surge in recent years, primarily driven by advancements in pre-trained language models and large language models. However,…
A Few-shot Approach to Resume Information Extraction via Prompts
Chengguang Gan, Tatsunori Mori
Prompt learning's fine-tune performance on text classification tasks has attracted the NLP community. This paper applies it to resume information extraction, improving existing met…
Construction of English Resume Corpus and Test with Pre-trained Language Models
Chengguang Gan, Tatsunori Mori
Information extraction(IE) has always been one of the essential tasks of NLP. Moreover, one of the most critical application scenarios of information extraction is the information…
Deep Learning Paradigm with Transformed Monolingual Word Embeddings for Multilingual Sentiment Analysis
Yujie Lu, Tatsunori Mori
The surge of social media use brings huge demand of multilingual sentiment analysis (MSA) for unveiling cultural difference. So far, traditional methods resorted to machine transla…