A Review of Statistical and Cognitive Learning for Sentence Processing
In the research field of natural language processing (NLP), sentence stands a very prominent position in text processing. The procedure of sentence processing acquires technologies at a higher level, such as computing the meaning of a sentence based on analysis of meanings of its individual words. This paper reviews several typical research works for statistical learning, highlights relevant cognitive concepts and models, introduces a cognitive sentence parser based on Simple Recurrent Networks (SRNs), and concludes that further research should be implemented with more cognitive models.
Statistical Cognitive Sentence processing Machine learning
Yi Guo Yan Li Zhiqing Shao
Department of Computer Science and Engineering East China University of Science and Technology Shang School of Foreign Languages East China University of Science and Technology Shanghai 200237, China
国际会议
贵阳
英文
101-105
2011-01-26（万方平台首次上网日期，不代表论文的发表时间）