Call for Presentations
DEADLINE FOR SUBMISSIONS: FRIDAY, AUGUST 10TH
Best Presentation Award: $500
Two Honorable Mentions: $100
Requirements
Presentations should focus on the research of LTI students. While it is acceptable to situate that research within a framework provided by the work of others, the main topic of each presentation should be the student's own research. Both completed and ongoing research efforts are welcomed, including work at early stages.
Because the target audience of SRS presentations will be the entire LTI research community, submissions should avoid focusing too deeply on specific details of a particular area. Introductory and background information that helps the audience understand the research problem being discussed is both appropriate and encouraged, but the main portion of presentations should be dedicated to novel research.
However, abstracts will be rated based on importance of the research problem, creativeness and rigor of the approach, and significance of the results.
Presentation Format
Each presentation slot will be 30 minutes long, with 20 minutes for the presentation itself and 10 minutes for questions.
A presentation in the Symposium fulfills the yearly presentation requirement and the speaking requirement for LTI PhD students.
Submission Format
Submissions for the LTI SRS will be in the form of short abstracts using the form provided. Abstracts should not exceed 400 words. Only PostScript, PDF, MS-Word and plain text submissions will be accepted.
Submission Procedure
Abstracts should be sent to Rohit Kumar via email by Friday, August 10th, 2007. The email subject line should read: SRS 2007 Abstract.
Topics of Interest
Any LTI Research conducted by a current LTI student (in the LTI or elsewhere) is appropriate for presentation in the Symposium.
Acceptable topics include, but are not limited to:
- Speech Recognition
- Speech Synthesis
- Machine Translation
- Computational Linguistics
- Information Retrieval
- Question Answering
- Parsing
- Information Extraction
- Computational Biology
- Language Modeling
- Applications of Language Technologies