Some advances in transformation-based part of speech tagging
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
The nature of statistical learning theory
The nature of statistical learning theory
A maximum entropy approach to natural language processing
Computational Linguistics
An Algorithm that Learns What‘s in a Name
Machine Learning - Special issue on natural language learning
A vector space model for automatic indexing
Communications of the ACM
Machine Learning
Optimizing search engines using clickthrough data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Measuring praise and criticism: Inference of semantic orientation from association
ACM Transactions on Information Systems (TOIS)
TextTiling: segmenting text into multi-paragraph subtopic passages
Computational Linguistics
An annotation scheme for discourse-level argumentation in research articles
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Near-duplicate detection for eRulemaking
dg.o '05 Proceedings of the 2005 national conference on Digital government research
Towards automatic classification of discourse elements in essays
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Computational Linguistics
Evaluating Discourse and Dialogue Coding Schemes
Computational Linguistics
Thumbs up?: sentiment classification using machine learning techniques
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
FrameNet-based semantic parsing using maximum entropy models
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Recognizing contextual polarity in phrase-level sentiment analysis
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Automated classification of congressional legislation
dg.o '06 Proceedings of the 2006 international conference on Digital government research
Progress in language processing technology for electronic rulemaking
dg.o '06 Proceedings of the 2006 international conference on Digital government research
Identifying and classifying subjective claims
dg.o '07 Proceedings of the 8th annual international conference on Digital government research: bridging disciplines & domains
A bootstrapping approach for identifying stakeholders in public-comment corpora
dg.o '07 Proceedings of the 8th annual international conference on Digital government research: bridging disciplines & domains
Active learning for e-rulemaking: public comment categorization
dg.o '08 Proceedings of the 2008 international conference on Digital government research
A study in rule-specific issue categorization for e-rulemaking
dg.o '08 Proceedings of the 2008 international conference on Digital government research
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
Get out the vote: determining support or opposition from congressional floor-debate transcripts
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Proceedings of the 12th Annual International Digital Government Research Conference: Digital Government Innovation in Challenging Times
Information Retrieval in the Commentsphere
ACM Transactions on Intelligent Systems and Technology (TIST)
| Hi-index | 0.00 |
To support rule-writers, we are developing techniques to automatically analyze large number of public comments on proposed regulations. A document is analyzed in various ways including argument structure, topics, and opinions. The individual results are integrated into a unified output. The experiments reported here were performed on comments submitted to the Environmental Protection Agency in response to their proposed rule for mercury regulation.