We introduce a probabilistic noisychannel model for question answering and we show how it can be exploited in the context of an end-to-end QA system. Our noisy-channel system outp...
Recent work in Question Answering has focused on web-based systems that extract answers using simple lexicosyntactic patterns. We present an alternative strategy in which patterns...
Michael Fleischman, Eduard H. Hovy, Abdessamad Ech...
This paper reports on Lymba Corporation’s (a spinoff of Language Computer Corporation) participation in the TREC 2007 Question Answering track. An overview of the PowerAnswer 4 ...
This paper addresses the following question: how should we update our beliefs after observing some incomplete data, in order to make credible predictions about new, and possibly i...
Anticipating the availability of large questionanswer datasets, we propose a principled, datadriven Instance-Based approach to Question Answering. Most question answering systems ...