The PISAB Question Answering system is based on a combination of Information Extraction and Information Retrieval techniques. Knowledge extracted from documents is modeled as a se...
Whenever a class is invited to ask questions, it is individual learners who ask and their questions do not often represent the questions of the whole class. The benefit to those p...
Complex questions that require inferencing and synthesizing information from multiple documents can be seen as a kind of topicoriented, informative multi-document summarization. I...
Question answering (QA) on table data is a challenging information retrieval task. This paper describes a QA system for tables created with both machine learning and heuristic tab...
In this paper, we define a family of syntactic kernels for automatic relational learning from pairs of natural language sentences. We provide an efficient computation of such mode...