Analysis of the text matching problem

Abstract

As a matter of fact, with the rapid development of computation ability as well as machine learning scenarios, the natural language model had widely use in society in recent years. To be specific, lots of software and applications have been developed, such as Chat-GPT, machine translation and text generation. Among various applications, text matching constitutes a foundational challenge within the realm of natural language processing (NLP). With this in mind, this study delineates the advancements encapsulated by contemporary models pivotal to text matching methodologies, i.e., LSTM, Transformer as well as BERT. At the same time, this study will make a comprehensive demonstration of them, including the principle and the related works. In the meantime, this study will also provide 10 well-known dataset of Text Matching problem. Finally, this research presents analysis of the limitation for this task as well as gives the future prospect for text matching at the same time.