Snowball: extracting relations from large plain-text collections
DL '00 Proceedings of the fifth ACM conference on Digital libraries
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Extracting Patterns and Relations from the World Wide Web
WebDB '98 Selected papers from the International Workshop on The World Wide Web and Databases
Japanese morphological analyzer using word co-occurrence: JTAG
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Mining models of human activities from the web
Proceedings of the 13th international conference on World Wide Web
Shallow parsing with conditional random fields
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
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
Methods for domain-independent information extraction from the web: an experimental comparison
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Temporal and information flow based event detection from social text streams
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Inferring long-term user properties based on users' location history
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Open information extraction from the web
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Ubiquitous Computing: Smart Devices, Environments and Interactions
Ubiquitous Computing: Smart Devices, Environments and Interactions
User interests in social media sites: an exploration with micro-blogs
Proceedings of the 18th ACM conference on Information and knowledge management
Open information extraction for the web
Open information extraction for the web
Human activity mining using conditional radom fields and self-supervised learning
ACIIDS'10 Proceedings of the Second international conference on Intelligent information and database systems: Part I
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The goal of this paper is to describe a method to automatically capture users' buying activity at Akihabara electric town in each sentence retrieved from twitter. Sentences retrieved from twitter are often diversified, complex, syntactically wrong, have emoticons and new words. There are some works that have tried to extract users' activities in sentences retrieved from weblogs and twitter. However, these works have some limitations, such as inability of extracting infrequent activities, high setup cost, limitation on the types of sentences that can be handled, necessary of preparing a list of object, action and syntax patterns. To resolve these problems, we propose a novel approach that treats the activity extraction as a sequence labeling problem, and automatically makes its own training data. This approach can extract infrequent activities, and has advantages such as scalability, unnecessary any hand-tagged data.