基本信息
浏览量:310
职业迁徙
个人简介
The princple aim of my research is to facilitate broad-coverage, deep natural language understanding by computers. As most AI researchers know, this is a tall order that requires vast amounts of carefully encoded or learned knowledge. My advisor Tom Mitchell and I believe that the best path toward this distant goal is to combine small amounts of manually-encoded knowledge with the immensity of text available on the Web using efficient, scalable and robust machine learning algorithms.
Over the past few years, the primary goal for our Read the Web research project has been to develop a highly accurate and continuous system for extracting knowledge from the web. Building upon that research, my focus now is figuring out how to use the knowledge extracted by our system to address traditional natural language understanding tasks such as information extraction, co-reference resolution, and semantic role labeling, but in a non-traditional (i.e. not a supervised machine learning) way. Eventually, we also hope to use our web-extracted knowledge to help improve even more mature technologies like syntactic parsing and part-of-speech tagging.
Over the past few years, the primary goal for our Read the Web research project has been to develop a highly accurate and continuous system for extracting knowledge from the web. Building upon that research, my focus now is figuring out how to use the knowledge extracted by our system to address traditional natural language understanding tasks such as information extraction, co-reference resolution, and semantic role labeling, but in a non-traditional (i.e. not a supervised machine learning) way. Eventually, we also hope to use our web-extracted knowledge to help improve even more mature technologies like syntactic parsing and part-of-speech tagging.
研究兴趣
论文共 15 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
CIKM'12: 21st ACM International Conference on Information and Knowledge Management
Maui
Hawaii
USA
October, 2012pp.1702-1706, (2012)
SemiSupLearn '09: Proceedings of the NAACL HLT 2009 Workshop on Semi-Supervised Learning for Natural Language Processingpp.1-9, (2009)
引用54浏览0EI引用
54
0
SEMANTIC WEB - ISWC 2009, PROCEEDINGS (2009): 998-1002
Justin Betteridge,Andrew Carlson, Sue Ann Hong,Estevam R. Hruschka, Edith L. M. Law,Tom M. Mitchell,Sophie H. Wang
semanticscholar(2008)
引用0浏览0引用
0
0
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn