Technometrics
Outlier finding: focusing user attention on possible errors
Proceedings of the 14th annual ACM symposium on User interface software and technology
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Active Hidden Markov Models for Information Extraction
IDA '01 Proceedings of the 4th International Conference on Advances in Intelligent Data Analysis
Table extraction using conditional random fields
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Proposal for an Interactive Environment for Information Extraction
Proposal for an Interactive Environment for Information Extraction
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
Confidence estimation for translation prediction
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
Confidence estimation for information extraction
HLT-NAACL-Short '04 Proceedings of HLT-NAACL 2004: Short Papers
Efficiently inducing features of conditional random fields
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
Enabling rich human-agent interaction for a calendar scheduling agent
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Improving discriminative sequential learning with rare--but--important associations
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Integer linear programming inference for conditional random fields
ICML '05 Proceedings of the 22nd international conference on Machine learning
Information Extraction: Distilling Structured Data from Unstructured Text
Queue - Social Computing
Online decoding of Markov models under latency constraints
ICML '06 Proceedings of the 23rd international conference on Machine learning
CueTIP: a mixed-initiative interface for correcting handwriting errors
UIST '06 Proceedings of the 19th annual ACM symposium on User interface software and technology
Corrective feedback and persistent learning for information extraction
Artificial Intelligence
Extracting Places and Activities from GPS Traces Using Hierarchical Conditional Random Fields
International Journal of Robotics Research
Improving discriminative sequential learning by discovering important association of statistics
ACM Transactions on Asian Language Information Processing (TALIP)
Relations, cards, and search templates: user-guided web data integration and layout
Proceedings of the 20th annual ACM symposium on User interface software and technology
CueFlik: interactive concept learning in image search
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
ArnetMiner: extraction and mining of academic social networks
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Schema-Guided Induction of Monadic Queries
ICGI '08 Proceedings of the 9th international colloquium on Grammatical Inference: Algorithms and Applications
Academic conference homepage understanding using constrained hierarchical conditional random fields
Proceedings of the 17th ACM conference on Information and knowledge management
Towards Machine Learning on the Semantic Web
Uncertainty Reasoning for the Semantic Web I
Towards a SVM-struct Based Active Learning Algorithm for Least Cost Semantic Annotation
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Constrained Sequence Classification for Lexical Disambiguation
PRICAI '08 Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Learning to generalize for complex selection tasks
Proceedings of the 14th international conference on Intelligent user interfaces
Estimating annotation cost for active learning in a multi-annotator environment
HLT '09 Proceedings of the NAACL HLT 2009 Workshop on Active Learning for Natural Language Processing
Learning field compatibilities to extract database records from unstructured text
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
FeatureEng '05 Proceedings of the ACL Workshop on Feature Engineering for Machine Learning in Natural Language Processing
Confidence estimation for information extraction
HLT-NAACL-Short '04 Proceedings of HLT-NAACL 2004: Short Papers
Reducing labeling effort for structured prediction tasks
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Hidden dynamic probabilistic models for labeling sequence data
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Overview based example selection in end user interactive concept learning
Proceedings of the 22nd annual ACM symposium on User interface software and technology
Enhanced interactive question-answering with conditional random fields
IQA '06 Proceedings of the Interactive Question Answering Workshop at HLT-NAACL 2006
Corrective feedback and persistent learning for information extraction
Artificial Intelligence
A social recommendation framework based on multi-scale continuous conditional random fields
Proceedings of the 18th ACM conference on Information and knowledge management
Semi-supervised active learning for sequence labeling
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2 - Volume 2
A Combination Approach to Web User Profiling
ACM Transactions on Knowledge Discovery from Data (TKDD)
Confidence in structured-prediction using confidence-weighted models
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Kairos: proactive harvesting of research paper metadata from scientific conference web sites
ICADL'10 Proceedings of the role of digital libraries in a time of global change, and 12th international conference on Asia-Pacific digital libraries
Semantic annotation of web objects using constrained conditional random fields
WAIM'10 Proceedings of the 11th international conference on Web-age information management
Active learning strategies for handwritten text transcription
International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction
Querying probabilistic information extraction
Proceedings of the VLDB Endowment
A probabilistic approach for automatically filling form-based web interfaces
Proceedings of the VLDB Endowment
Hybrid in-database inference for declarative information extraction
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
ICCSA'10 Proceedings of the 2010 international conference on Computational Science and Its Applications - Volume Part II
Learning to adapt cross language information extraction wrapper
Applied Intelligence
Proceedings of the ACM SIGKDD Workshop on Mining Data Semantics
Training dependency parser using light feedback
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Effective balancing error and user effort in interactive handwriting recognition
Pattern Recognition Letters
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Information Extraction methods can be used to automatically "fill-in" database forms from unstructured data such as Web documents or email. State-of-the-art methods have achieved low error rates but invariably make a number of errors. The goal of an interactive information extraction system is to assist the user in filling in database fields while giving the user confidence in the integrity of the data. The user is presented with an interactive interface that allows both the rapid verification of automatic field assignments and the correction of errors. In cases where there are multiple errors, our system takes into account user corrections, and immediately propagates these constraints such that other fields are often corrected automatically. Linear-chain conditional random fields (CRFs) have been shown to perform well for information extraction and other language modelling tasks due to their ability to capture arbitrary, overlapping features of the input in a Markov model. We apply this framework with two extensions: a constrained Viterbi decoding which finds the optimal field assignments consistent with the fields explicitly specified or corrected by the user; and a mechanism for estimating the confidence of each extracted field, so that low-confidence extractions can be highlighted. Both of these mechanisms are incorporated in a novel user interface for form filling that is intuitive and speeds the entry of data--providing a 23% reduction in error due to automated corrections.