Title :
Event Entailment Extraction Based on EM Iteration
Author :
Li, Zhen ; Li, Hanjing ; Yu, Mo ; Zhao, Tiejun ; Li, Sheng
Author_Institution :
MOE-MS Key Lab. of Natural Language Process. & Speech, Harbin Inst. of Technol., Harbin, China
Abstract :
In the research and development of various natural language processing systems, like Q&A system and text-to-scene conversation system, we realize that knowledge of text entailment helps a lot in improving the performance of the system. Systems with text entailment knowledge will be smarter than those who without entailment knowledge. Currently many research teams are focusing on text entailment, including recognition, generation and extraction. However, entailment extraction is the main method in creating entailment knowledge database. Meanwhile, for text-to-scene conversation system, due to the importance of events in stories, find a method for event entailment extraction is our main goal. In this paper, we proposed a method for extracting event entailment from corpus based on EM iteration, which has not been used before.
Keywords :
iterative methods; natural language processing; text analysis; EM iteration; Q&A system; entailment extraction; entailment knowledge database; event entailment extraction; natural language processing systems; text entailment; text-to-scene conversation; text-to-scene conversation system; Animation; Classification algorithms; Context; Encyclopedias; Internet; Libraries; Natural language processing; EM iteration; entailment extraction; event entailment;
Conference_Titel :
Asian Language Processing (IALP), 2010 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-9063-9
DOI :
10.1109/IALP.2010.36