CYC: a large-scale investment in knowledge infrastructure
Communications of the ACM
Assessing agreement on classification tasks: the kappa statistic
Computational Linguistics
Open Mind Common Sense: Knowledge Acquisition from the General Public
On the Move to Meaningful Internet Systems, 2002 - DOA/CoopIS/ODBASE 2002 Confederated International Conferences DOA, CoopIS and ODBASE 2002
Web-scale information extraction in knowitall: (preliminary results)
Proceedings of the 13th international conference on World Wide Web
ConceptNet — A Practical Commonsense Reasoning Tool-Kit
BT Technology Journal
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Discovering Association Rules on Experiences from Large-Scale Blog Entries
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
Automatically annotating textual resources with human intentions
Proceedings of the 20th ACM conference on Hypertext and hypermedia
Analyzing human intentions in natural language text
Proceedings of the fifth international conference on Knowledge capture
Open information extraction from the web
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Web Semantics: Science, Services and Agents on the World Wide Web
Open information extraction using Wikipedia
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Detecting experiences from weblogs
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
A comprehensive taxonomy of human motives: a principled basis for the motives of intelligent agents
IVA'10 Proceedings of the 10th international conference on Intelligent virtual agents
Acquiring knowledge about human goals from Search Query Logs
Information Processing and Management: an International Journal
Identifying relations for open information extraction
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Automatically constructing concept hierarchies of health-related human goals
KSEM'11 Proceedings of the 5th international conference on Knowledge Science, Engineering and Management
Solution mining for specific contextualised problems: towards an approach for experience mining
Proceedings of the 21st international conference companion on World Wide Web
Identifying helpful reviews based on customer's mentions about experiences
Expert Systems with Applications: An International Journal
Proceedings of the 21st ACM international conference on Information and knowledge management
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Problem solving knowledge is omnipresent and scattered on the Web. While extracting and gathering such knowledge has been a focus of attention, it is equally important to devise a way to organize such knowledge for both human and machine consumption with respect to task goals. As a way to provide an extensive knowledge structure for human task goals, with which human problem solving knowledge extracted from Web resources can be organized, we devised a method for automatically grouping and organizing the goal statements in a Web 2.0 site that contains over two millions how-to instruction articles covering almost all task domains. In the proposed method, task goals having semantically and task-categorically similar action types and object types are grouped together by analyzing predicate-argument association patterns across all the goal statements through bipartite EM-like modeling. The result obtained with the unsupervised machine learning algorithm was evaluated by means of a human-annotated data set in a sample domain.