Motivated by the success of ensemble methods in machine learning and other areas of natural language processing, we developed a multistrategy and multi-source approach to question...
Jennifer Chu-Carroll, Krzysztof Czuba, John M. Pra...
We describe initial experiments in combining the output of question answering systems using data from the 2002 TREC Question Answering task. We explore several distance-based comb...
We examine clarification dialogue, a mechanism for refining user questions with follow-up questions, in the context of open domain Question Answering systems. We develop an algori...
: Question answering systems have proven to be helpful to users because they can provide succinct answers that do not require users to wade through a large number of documents. How...
Jimmy J. Lin, Dennis Quan, Vineet Sinha, Karun Bak...
CL Research participated in the question answering and novelty tracks in TREC 2004. The Knowledge Management System (KMS), which provides a single interface for question answering...
The TREC 2004 Question Answering track contained a single task in which question series were used to define a set of targets. Each series contained factoid and list questions and ...
This paper demonstrates the applicability of automated reasoning to text processing, specifically to Question Answering. It is shown that the approach is feasible, effective, and ...
This paper describes the retrieval experiments for the main task and list task of the TREC-10 questionanswering track. The question answering system described automatically finds ...
Jiangping Chen, Anne Diekema, Mary D. Taffet, Nanc...
People when asked a number of questions about a particular topic begin to become knowledgeable about the topic as they look for and find answers to the questions. A question answe...
Marc Light, Abraham Ittycheriah, Andrew Latto, Nan...
In this paper we describe and evaluate a Question Answering system that goes beyond answering factoid questions. We focus on FAQlike questions and answers, and build our system ar...