Interactive problem solving and dialogue in the ATIS domain
HLT '91 Proceedings of the workshop on Speech and Natural Language
The Philips automatic train timetable information system
Speech Communication - Special issue on interactive voice technology for telecommunication applications
ELIZA—a computer program for the study of natural language communication between man and machine
Communications of the ACM
Journal of the American Society for Information Science and Technology
A new approach to intranet search based on information extraction
Proceedings of the 14th ACM international conference on Information and knowledge management
Improving question-answering with linking dialogues
Proceedings of the 11th international conference on Intelligent user interfaces
Intelligent Document Retrieval: Exploiting Markup Structure (The Information Retrieval Series)
Intelligent Document Retrieval: Exploiting Markup Structure (The Information Retrieval Series)
Users want more sophisticated search assistants: results of a task-based evaluation
Journal of the American Society for Information Science and Technology
A field study characterizing Web-based information-seeking tasks
Journal of the American Society for Information Science and Technology
Navigating the intranet with high precision
Proceedings of the 16th international conference on World Wide Web
Visualization of web spaces: state of the art and future directions
ACM SIGMIS Database
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Baseball: an automatic question-answerer
IRE-AIEE-ACM '61 (Western) Papers presented at the May 9-11, 1961, western joint IRE-AIEE-ACM computer conference
Hitiqa: High-quality intelligence through interactive question answering
Natural Language Engineering
StatSnowball: a statistical approach to extracting entity relationships
Proceedings of the 18th international conference on World wide web
Named entity recognition in query
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Boosting a Semantic Search Engine by Named Entities
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
Using dialogues to access semantic knowledge in a web IR system
PROPOR'03 Proceedings of the 6th international conference on Computational processing of the Portuguese language
Relational duality: unsupervised extraction of semantic relations between entities on the web
Proceedings of the 19th international conference on World wide web
Short query refinement with query derivation
AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
Testing visualization on the use of information systems
Proceedings of the third symposium on Information interaction in context
Proceedings of the 10th Conference on Open Research Areas in Information Retrieval
| Hi-index | 0.00 |
Natural language processing (NLP) is becoming much more robust and applicable in realistic applications. One area in which NLP has still not been fully exploited is information retrieval (IR). In particular we are interested in search over intranets and other local Web sites. We see dialogue-driven search which is based on a largely automated knowledge extraction process as one of the next big steps. Instead of replying with a set of documents for a user query the system would allow the user to navigate through the extracted knowledge base by making use of a simple dialogue manager. Here we support this idea with a first task-based evaluation that we conducted on a university intranet. We automatically extracted entities like person names, organizations and locations as well as relations between entities and added visual graphs to the search results whenever a user query could be mapped into this knowledge base. We found that users are willing to interact and use those visual interfaces. We also found that users preferred such a system that guides a user through the result set over a baseline approach. The results represent an important first step towards full NLP-driven intranet search.