COMPUTER SCIENCE QATAR TECHNICAL REPORT ABSTRACTS

Source: http://reports-archive.adm.cs.cmu.edu/anon/qatar/abstracts/10-103.html Parent: http://reports-archive.adm.cs.cmu.edu/qatar.html


	CMU-CS-QTR-103 Computer Science Qatar School of Computer Science, Carnegie Mellon University --- CMU-CS-QTR-103 2010 Senior Thesis Project Reports Iliano Cervesato, Majd Sakr, Mark Stehlik, Bernardine Dias, Kemal Oflazer, Noah Smith** Editors Rishav Bhowmick, Mohammed Kaleemur Rahman, Aysha Siddique Authors Contents ⋅Rich Entity Type Recognition in Text ⋅Education E-Village: Empowering Technology Educations in Developing Regions ⋅Designing Mobile Phone Based Education Games to Improve the English Literacy Skills of Limited English Proficient (LEP) Adults May 2010 CMU-CS-QTR-103.pdf Keywords: Natural language processing, entity type recognition, Web-based Education, Technology for the Developing World, Mobile Education, Game-based Education, English Literacy This technical report collects the final reports of the undergraduate Computer Science majors from the Qatar Campus of Carnegie Mellon University who elected to complete a senior research thesis in the academic year 2009-10 as part of their degree. These projects have spanned the students' entire senior year, during which they have worked closely with their faculty advisors to plan and carry out their projects. This work counts as 18 units of academic credit each semester. In addition to doing the research, the students presented a brief midterm progress report each semester, presented a public poster session in December, presented an oral summary in the year-end campuswide Meeting of the Minds and submitted a written thesis in May. 99 pages The editors of the report include the members of the Senior Thesis Committee on the Qatar campus and the students' advisors. Department of Computer Science, Carnegie Mellon University Robotics Institute, Carnegie Mellon University and Computer Science Department, Qatar **Machine Learning Department and Language Technologies Institute, Carnegie Mellon University
--- Return to: SCS Technical Report Collection School of Computer Science This page maintained by reports@cs.cmu.edu

CMU-CS-QTR-103 Computer Science Qatar School of Computer Science, Carnegie Mellon University --- CMU-CS-QTR-103 2010 Senior Thesis Project Reports Iliano Cervesato, Majd Sakr, Mark Stehlik*, Bernardine Dias**, Kemal Oflazer, Noah Smith*** Editors Rishav Bhowmick, Mohammed Kaleemur Rahman, Aysha Siddique Authors Contents ⋅Rich Entity Type Recognition in Text ⋅Education E-Village: Empowering Technology Educations in Developing Regions ⋅Designing Mobile Phone Based Education Games to Improve the English Literacy Skills of Limited English Proficient (LEP) Adults May 2010 CMU-CS-QTR-103.pdf Keywords: Natural language processing, entity type recognition, Web-based Education, Technology for the Developing World, Mobile Education, Game-based Education, English Literacy This technical report collects the final reports of the undergraduate Computer Science majors from the Qatar Campus of Carnegie Mellon University who elected to complete a senior research thesis in the academic year 2009-10 as part of their degree. These projects have spanned the students' entire senior year, during which they have worked closely with their faculty advisors to plan and carry out their projects. This work counts as 18 units of academic credit each semester. In addition to doing the research, the students presented a brief midterm progress report each semester, presented a public poster session in December, presented an oral summary in the year-end campuswide Meeting of the Minds and submitted a written thesis in May. 99 pages The editors of the report include the members of the Senior Thesis Committee on the Qatar campus and the students' advisors. *Department of Computer Science, Carnegie Mellon University **Robotics Institute, Carnegie Mellon University and Computer Science Department, Qatar ***Machine Learning Department and Language Technologies Institute, Carnegie Mellon University

--- Return to: SCS Technical Report Collection School of Computer Science This page maintained by reports@cs.cmu.edu