We describe ongoing work in semi-automatic annotating corpus, with the goal to answer "why" question in question answering system and give a construction of the coherent...
Research on Question Answering is focused mainly on classifying the question type and finding the answer. Presenting the answer in a way that suits the user's needs has recei...
We present a series of experiments to demonstrate the validity of Relative Utility (RU) as a measure for evaluating extractive summarizers. RU is applicable in both singledocument...
Question Answering (QA) aims at providing users with short text units that answer specific, well-formed natural language questions. A two stage architecture is widely adopted for t...