Anticipating the availability of large questionanswer datasets, we propose a principled, datadriven Instance-Based approach to Question Answering. Most question answering systems ...
This paper presents a new corpus of human answers in natural language. The answers were collected in order to build a base of examples useful when generating natural language answ...
Many open domain question answering systems answer questions by first harvesting a large number of candidate answers, and then picking the most promising one from the list. One c...
Stefan Schlobach, David Ahn, Maarten de Rijke, Val...
This paper presents a sentence extraction method based on Concept Coupling Model, a language model for handling natural language sentence structures. Sentence extraction is perfor...
In this paper, we report on Qaviar, an experimental automated evaluation system for question answering applications. The goal of our research was to find an automatically calculat...
Eric Breck, John D. Burger, Lisa Ferro, Lynette Hi...