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» Learning semantic models from event logs
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ACL
2009
13 years 3 months ago
Learning Semantic Categories from Clickthrough Logs
As the web grows larger, knowledge acquisition from the web has gained increasing attention. In this paper, we propose using web search clickthrough logs to learn semantic categor...
Mamoru Komachi, Shimpei Makimoto, Kei Uchiumi, Man...
COOPIS
2004
IEEE
13 years 9 months ago
Discovering Workflow Transactional Behavior from Event-Based Log
Previous workflow mining works have concentrated their efforts on process behavioral aspects. Although powerful, these proposals are found lacking in functionalities and performanc...
Walid Gaaloul, Sami Bhiri, Claude Godart
ISMIS
2009
Springer
13 years 12 months ago
Discovering Structured Event Logs from Unstructured Audit Trails for Workflow Mining
Workflow mining aims to find graph-based process models based on activities, emails, and various event logs recorded in computer systems. Current workflow mining techniques mainly ...
Liqiang Geng, Scott Buffett, Bruce Hamilton, Xin W...
ECCV
2004
Springer
14 years 7 months ago
Extraction of Semantic Dynamic Content from Videos with Probabilistic Motion Models
Abstract. The exploitation of video data requires to extract information at a rather semantic level, and then, methods able to infer "concepts" from low-level video featu...
Gwenaëlle Piriou, Jian-Feng Yao, Patrick Bout...
EMNLP
2011
12 years 5 months ago
Bootstrapping Semantic Parsers from Conversations
Conversations provide rich opportunities for interactive, continuous learning. When something goes wrong, a system can ask for clarification, rewording, or otherwise redirect the...
Yoav Artzi, Luke S. Zettlemoyer