Srikrishna Raamadhurai


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Curio SmartChat : A system for Natural Language Question Answering for Self-Paced K-12 Learning
Srikrishna Raamadhurai | Ryan Baker | Vikraman Poduval
Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications

During learning, students often have questions which they would benefit from responses to in real time. In class, a student can ask a question to a teacher. During homework, or even in class if the student is shy, it can be more difficult to receive a rapid response. In this work, we introduce Curio SmartChat, an automated question answering system for middle school Science topics. Our system has now been used by around 20,000 students who have so far asked over 100,000 questions. We present data on the challenge created by students’ grammatical errors and spelling mistakes, and discuss our system’s approach and degree of effectiveness at disambiguating questions that the system is initially unsure about. We also discuss the prevalence of student “small talk” not related to science topics, the pluses and minuses of this behavior, and how a system should respond to these conversational acts. We conclude with discussions and point to directions for potential future work.


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Creating Custom Taggers by Integrating Web Page Annotation and Machine Learning
Srikrishna Raamadhurai | Oskar Kohonen | Teemu Ruokolainen
Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: System Demonstrations