Knowledge and natural language processing
Communications of the ACM
CYC, WordNet, and EDR: critiques and responses
Communications of the ACM
Semantic information retrieval
Communications of the ACM
Augmenting organizational memory: a field study of answer garden
ACM Transactions on Information Systems (TOIS)
TRIPs: an integrated intelligent problem-solving assistant
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
The catacomb project: building a user-centered portal the conversational way
Proceedings of the 4th international workshop on Web information and data management
Working Knowledge: How Organizations Manage What They Know
Working Knowledge: How Organizations Manage What They Know
Enhancing the power of Web search engines by means of fuzzy query
Decision Support Systems - Web retrieval and mining
Dialogue and domain knowledge management in dialogue systems
SIGDIAL '00 Proceedings of the 1st SIGdial workshop on Discourse and dialogue - Volume 10
Leveraging Question Answer technology to address terrorism inquiry
Decision Support Systems
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An effective networked knowledge delivery platform is one of the Holy Grails of Web computing. Knowledge delivery approaches range from the heavy and narrow to the light and broad. This paper explores a lightweight and flexible dialog framework based on the ALICE system, and evaluates its performance in chat and knowledge delivery using both a conversational setting and a specific telecommunications knowledge domain. Metrics for evaluation are presented, and the evaluations of three experimental systems (a pure dialog system, a domain knowledge system, and a hybrid system combining dialog and domain knowledge) are presented and discussed. Our study of 257 subjects shows approximately a 20% user correction rate on system responses. Certain error classes (such as nonsense replies) were particular to the dialog system, while others (such as mistaking opinion questions for definition questions) were particular to the domain system. A third type of error, wordy and awkward responses, is a basic system property and spans all three experimental systems. We also show that the highest response satisfaction results are obtained when coupling domain-specific knowledge together with conversational dialog.