Abstract This paper investigates whether a machine can automatically learn the task of finding, within a large collection of candidate responses, the answers to questions. The lea...
Adam L. Berger, Rich Caruana, David Cohn, Dayne Fr...
In this paper, we evaluate a number of machine learning techniques for the task of ranking answers to why-questions. We use TF-IDF together with a set of 36 linguistically motivate...
Suzan Verberne, Hans van Halteren, Daphne Theijsse...
Abstract. This paper describes the results of the INAOE’s answer validation system evaluated at the Spanish track of the AVE 2007. The system is based on a supervised learning ap...
One problem of data-driven answer extraction in open-domain factoid question answering is that the class distribution of labeled training data is fairly imbalanced. This imbalance...
Michael Wiegand, Jochen L. Leidner, Dietrich Klako...
Cognitive Tutors are proven effective learning environments, but are still not as effective as one-on-one human tutoring. We describe an environment (ALPS) designed to engage stude...
Lisa Anthony, Albert T. Corbett, Angela Z. Wagner,...