Advances and challenges in artificial intelligence text generation
Text generation is an essential research area in artificial intelligence (AI) technology and
natural language processing and provides key technical support for the rapid development …
natural language processing and provides key technical support for the rapid development …
Mitigating Class Imbalance in Sentiment Analysis through GPT-3-Generated Synthetic Sentences
C Suhaeni, HS Yong - Applied Sciences, 2023 - mdpi.com
In this paper, we explore the effectiveness of the GPT-3 model in tackling imbalanced
sentiment analysis, focusing on the Coursera online course review dataset that exhibits high …
sentiment analysis, focusing on the Coursera online course review dataset that exhibits high …
[PDF][PDF] Towards Incremental NER Data Augmentation via Syntactic-aware Insertion Transformer.
W Ke, Z Tian, Q Liu, P Wang, J Gao, R Qi - IJCAI, 2023 - ijcai.org
Named entity recognition (NER) aims to locate and classify named entities in natural
language texts. Most existing high-performance NER models employ a supervised …
language texts. Most existing high-performance NER models employ a supervised …
人工智能文本生成的进展与挑战
文本生成是人工智能和自然语言处理的重要研究领域, 为人工智能生成内容的快速发展提供了
关键技术支撑. 该任务基于自然语言处理, 机器学习和深度学习等技术, 通过训练模型学习语言 …
关键技术支撑. 该任务基于自然语言处理, 机器学习和深度学习等技术, 通过训练模型学习语言 …
Evaluating the BERTScore of synthetic text and its sentiment analysis
MP Gupta - 2023 - researchsquare.com
Text generation, which combines artificial intelligence as well as computational linguistics to
write new text, is a subfield of Natural Language Processing (NLP). Significant …
write new text, is a subfield of Natural Language Processing (NLP). Significant …