On lexical level matching

Natural language processing (NLP);Similarity

Ling, Shaoshi ; Roth ; Dan

关键词: Natural language processing (NLP);    Similarity;   

Others  :  https://www.ideals.illinois.edu/bitstream/handle/2142/98404/LING-THESIS-2017.pdf?sequence=1&isAllowed=y

美国|英语

来源: The Illinois Digital Environment for Access to Learning and Scholarship

【 摘 要 】

In many natural language understanding applications, text processing requires comparing lexical units: words, phrases, name entities and sentences. A significant amount of research has taken place in studying evaluating similarity metrics between those units. In this thesis, we summarize some research work in computing lexical similarity. We describe a new approach to compute similarity between two spans of text, using multiple semantic-units level comparison measures to compute sentence-level similarity scores.