Empirically designing and evaluating a new revision-based model for summary generation
Artificial Intelligence - Special volume on empirical methods
A study of smoothing methods for language models applied to Ad Hoc information retrieval
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Evaluating document clustering for interactive information retrieval
Proceedings of the tenth international conference on Information and knowledge management
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Naive (Bayes) at Forty: The Independence Assumption in Information Retrieval
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Elvis: situated speech and gesture understanding for a robotic chandelier
Proceedings of the 6th international conference on Multimodal interfaces
Proceedings of the 11th international conference on Intelligent user interfaces
Connecting language to the world
Artificial Intelligence - Special volume on connecting language to the world
Designing Virtual Worlds
Relevance models for topic detection and tracking
HLT '02 Proceedings of the second international conference on Human Language Technology Research
Serious Games for Language Learning: How Much Game, How Much AI?
Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology
Proceedings of the 20th ACM international conference on Information and knowledge management
| Hi-index | 0.00 |
We are interested in the problem of understanding the connections between human activities and the content of textual information generated in regard to those activities. Firstly, we define and motivate this problem as an important part in making sense of various life events. Secondly, we introduce the domain of massive online collaborative environments, specifically online virtual worlds, where people meet, exchange messages, and perform actions as a rich data source for such an analysis. Finally, we outline three experimental tasks and show how statistical language modeling and text clustering techniques may allow us to explore those connections successfully.