Difference between revisions of "User:Dwijaya"
From Cohen Courses
Jump to navigationJump to search| Line 8: | Line 8: | ||
My research interest is in the area of information retrieval, machine learning, and natural language processing. I am currently involved in the Read The Web project that builds a system called [http://rtw.ml.cmu.edu/rtw/ NELL] which tries to learn overtime to 'read' (automatically extract facts and build a Knowledge Base of these facts) from the Web. Previously I was involved in the [http://www.e-lico.eu/ e-LICO project], specifically in the building of an ontology of data mining algorithms and models. I have also worked previously on the area of opinion mining and graph clustering. | My research interest is in the area of information retrieval, machine learning, and natural language processing. I am currently involved in the Read The Web project that builds a system called [http://rtw.ml.cmu.edu/rtw/ NELL] which tries to learn overtime to 'read' (automatically extract facts and build a Knowledge Base of these facts) from the Web. Previously I was involved in the [http://www.e-lico.eu/ e-LICO project], specifically in the building of an ontology of data mining algorithms and models. I have also worked previously on the area of opinion mining and graph clustering. | ||
| + | |||
| + | == '''Wiki writeup:''' == | ||
Revision as of 17:08, 27 September 2011
Name: Derry Tanti Wijaya
Homepage: http://www.cs.cmu.edu/~dwijaya
I am a 2nd year PhD student at Language Technologies Institute.
My research interest is in the area of information retrieval, machine learning, and natural language processing. I am currently involved in the Read The Web project that builds a system called NELL which tries to learn overtime to 'read' (automatically extract facts and build a Knowledge Base of these facts) from the Web. Previously I was involved in the e-LICO project, specifically in the building of an ontology of data mining algorithms and models. I have also worked previously on the area of opinion mining and graph clustering.
