A maximum entropy approach to natural language processing
Computational Linguistics
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Feature-rich part-of-speech tagging with a cyclic dependency network
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Accurate unlexicalized parsing
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Incorporating non-local information into information extraction systems by Gibbs sampling
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
A factuality profiler for eventualities in text
A factuality profiler for eventualities in text
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
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
BioNLP '09 Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing
Mining user experiences from online forums: an exploration
WSA '10 Proceedings of the NAACL HLT 2010 Workshop on Computational Linguistics in a World of Social Media
Blog map of experiences: extracting and geographically mapping visitor experiences from urban blogs
WISE'05 Proceedings of the 6th international conference on Web Information Systems Engineering
Mining and visualizing local experiences from blog entries
DEXA'06 Proceedings of the 17th international conference on Database and Expert Systems Applications
Solution mining for specific contextualised problems: towards an approach for experience mining
Proceedings of the 21st international conference companion on World Wide Web
Mining market trend from blog titles based on lexical semantic similarity
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part II
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
Automatic organization of human task goals for web-scale problem solving knowledge
Proceedings of the seventh international conference on Knowledge capture
Automatic extraction of advice-revealing sentences foradvice mining from online forums
Proceedings of the seventh international conference on Knowledge capture
Toward advice mining: conditional random fields for extracting advice-revealing text units
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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Weblogs are a source of human activity knowledge comprising valuable information such as facts, opinions and personal experiences. In this paper, we propose a method for mining personal experiences from a large set of weblogs. We define experience as knowledge embedded in a collection of activities or events which an individual or group has actually undergone. Based on an observation that experience-revealing sentences have a certain linguistic style, we formulate the problem of detecting experience as a classification task using various features including tense, mood, aspect, modality, experiencer, and verb classes. We also present an activity verb lexicon construction method based on theories of lexical semantics. Our results demonstrate that the activity verb lexicon plays a pivotal role among selected features in the classification performance and shows that our proposed method outperforms the baseline significantly.