Learn More
This paper describes an efficient algorithm for language independent generic extractive summarization for single document. The algorithm is based on structural and statistical (rather than semantic) factors. Through evaluations performed on a single-document summarization for English, Hindi, Gujarati and Urdu documents, we show that the method performs(More)
Different software systems for automatic question answering have been developed in recent years. Some systems perform well on specific domains, but may not be appropriate for other domains. As the complexity and scaling of such information systems become ever greater, it is much more challenging to effectively and efficiently determine which toolkits,(More)
Internet users are in need of a tool that helps them to explore more and more contents on the web. Web users are undergoing a transformation and they are now expressing themselves in the form of sharing their opinions on an item through ratings and reviews or comments; through sharing and tagging content; or by contributing new content. In this changing(More)
We describe CMU's UIMA-based modular automatic question answering (QA) system. This system answers multiple-choice English questions for the world history entrance exam. Questions are preceded by short descriptions providing a historical context. Given the context and question-specific instructions , we generate verifiable assertions for each answer choice.(More)
Oral mucositis is one of the most debilitating side effects in patient undergoing chemotherapy or chemoradiotherapy. Leaves of the plant Solanum nigrum are used in folklore medicine to treat oral ulcers in India. However, no pharmacological investigation has been carried out till date. Aqueous extract of Solanum nigrum leaves (AESN) was prepared and(More)
  • Dhanya P. M Jathavedan, Vijay Sundar Ram, +21 authors Tara akhavan
  • 2013
Text Summarization has been an area of interest since many years. There are a lot of summarization methods in foreign languages like English, Chinese [9], [10], Arabic[11], Korean [12], Persian [13] etc. Recently some methods have been developed for Indian languages also. This paper presents a comparison of various text summarization methods seen in Indian(More)
  • 1