Context-based question-answering evaluation
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Implementing clarification dialogues in open domain question answering
Natural Language Engineering
A study of selection noise in collaborative web search
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
An analysis of query similarity in collaborative web search
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
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The automatic QA system described in this paper uses a reference interview model to allow the user to guide and contribute to the QA process. A set of system capabilities was designed and implemented that defines how the user's contributions can help improve the system. These include tools, called the Query Template Builder and the Knowledge Base Builder, that tailor the document processing and QA system to a particular domain by allowing a Subject Matter Expert to contribute to the query representation and to the domain knowledge. During the QA process, the system can interact with the user to improve query terminology by using Spell Checking, Answer Type verification, Expansions and Acronym Clarifications. The system also has capabilities that depend upon, and expand the user's history of interaction with the system, including a User Profile, Reference Resolution, and Question Similarity modules