Researches Advanced in the Development and Application of Information Extraction

Abstract

Natural language processing (NLP) is an interdisciplinary subject of linguistics and computer science, which processes the language used for human communication into a machine language that can be understood by machines.The task of information extraction is to obtain target information accurately and quickly from a large amount of data and improve the utilization of information. With the rapid development of Internet applications, how to quickly and accurately analyze the really useful information in these text data is particularly critical and urgent. Information extraction has become an important branch of natural language processing. Thanks to the rapid development of deep learning, the performance of information extraction has made breakthroughs in recent years. In this paper, based on the detailed literature analysis, this paper first review the development of information extraction. Secondly, the research progress of key technologies of information extraction is summarized from four aspects: named entity recognition, anaphora resolution, relationship extraction and event extraction. Finally, we analyze some main problems of information extraction and predict the research trend of information extraction.