Automatic Ontology-Based Knowledge Extraction from Web Documents
IEEE Intelligent Systems
Retrieval and novelty detection at the sentence level
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Generating natural language summaries from multiple on-line sources
Computational Linguistics - Special issue on natural language generation
Learning to cluster web search results
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Turning web text and search queries into factual knowledge: hierarchical class attribute extraction
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Statistical source expansion for question answering
Proceedings of the 20th ACM international conference on Information and knowledge management
Behavior-driven clustering of queries into topics
Proceedings of the 20th ACM international conference on Information and knowledge management
Topic modeling for named entity queries
Proceedings of the 20th ACM international conference on Information and knowledge management
Textual resource acquisition and engineering
IBM Journal of Research and Development
Hi-index | 0.00 |
We investigate the automatic generation of topic pages as an alternative to the current Web search paradigm. We describe a general framework, which combines query log analysis to build aspect models, sentence selection methods for identifying relevant and non-redundant Web sentences, and a technique for sentence ordering. We evaluate our approach on biographical topics both automatically and manually, by using Wikipedia as reference.