The Hierarchical Hidden Markov Model: Analysis and Applications
Machine Learning
Maximum Entropy Markov Models for Information Extraction and Segmentation
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
A maximum entropy approach to named entity recognition
A maximum entropy approach to named entity recognition
Automatic rule induction for unknown-word guessing
Computational Linguistics
Nymble: a high-performance learning name-finder
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Disambiguation of proper names in text
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Chinese named entity recognition using lexicalized HMMs
ACM SIGKDD Explorations Newsletter - Natural language processing and text mining
Predicting accuracy of extracting information from unstructured text collections
Proceedings of the 14th ACM international conference on Information and knowledge management
Information Extraction: Distilling Structured Data from Unstructured Text
Queue - Social Computing
Introduction to the CoNLL-2003 shared task: language-independent named entity recognition
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data
The Journal of Machine Learning Research
A high-performance semi-supervised learning method for text chunking
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Exploiting domain structure for named entity recognition
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Improving discriminative sequential learning by discovering important association of statistics
ACM Transactions on Asian Language Information Processing (TALIP)
Towards a context model driven german geo-tagging system
Proceedings of the 4th ACM workshop on Geographical information retrieval
Hungarian named entity recognition with a maximum entropy approach
Acta Cybernetica
Web-scale named entity recognition
Proceedings of the 17th ACM conference on Information and knowledge management
ANERsys: An Arabic Named Entity Recognition System Based on Maximum Entropy
CICLing '07 Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing
Applying Machine Learning to Chinese Entity Detection and Tracking
CICLing '07 Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing
Named entity recognition for Ukrainian: a resource-light approach
ACL '07 Proceedings of the Workshop on Balto-Slavonic Natural Language Processing: Information Extraction and Enabling Technologies
Exploiting context for biomedical entity recognition: from syntax to the web
JNLPBA '04 Proceedings of the International Joint Workshop on Natural Language Processing in Biomedicine and its Applications
Bootstrapping named entity recognition with automatically generated gazetteer lists
EACL '06 Proceedings of the Eleventh Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop
Empirical study on the performance stability of named entity recognition model across domains
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Regular expression learning for information extraction
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Multimodal subjectivity analysis of multiparty conversation
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Scaling high-order character language models to gigabytes
Software '05 Proceedings of the Workshop on Software
An unsupervised system for identifying English inclusions in German text
ACLstudent '05 Proceedings of the ACL Student Research Workshop
Phrase clustering for discriminative learning
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
Investigating the effects of selective sampling on the annotation task
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
CRF-based active learning for Chinese named entity recognition
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Semi-joint labeling for chinese named entity recognition
AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
Recognizing biomedical named entities in Chinese research abstracts
Canadian AI'08 Proceedings of the Canadian Society for computational studies of intelligence, 21st conference on Advances in artificial intelligence
Creating and evaluating a consensus for negated and speculative words in a Swedish clinical corpus
NeSp-NLP '10 Proceedings of the Workshop on Negation and Speculation in Natural Language Processing
Automatic extraction of destinations, origins and route parts from human generated route directions
GIScience'10 Proceedings of the 6th international conference on Geographic information science
EagleEye: entity-centric business intelligence for smarter decisions
IBM Journal of Research and Development
ACM Transactions on Asian Language Information Processing (TALIP)
Exploiting morphology in Turkish named entity recognition system
HLT-SS '11 Proceedings of the ACL 2011 Student Session
Training a named entity recognizer on the web
WISE'11 Proceedings of the 12th international conference on Web information system engineering
Chinese named entity recognition based on multilevel linguistic features
IJCNLP'04 Proceedings of the First international joint conference on Natural Language Processing
CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing
Bootstrapped named entity recognition for product attribute extraction
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Common sense reasoning – from cyc to intelligent assistant
Ambient Intelligence in Everyday Life
Advances in Artificial Intelligence
Automatic identification of protagonist in fairy tales using verb
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II
VAHA: verbs associate with human activity --- a study on fairy tales
IEA/AIE'12 Proceedings of the 25th international conference on Industrial Engineering and Other Applications of Applied Intelligent Systems: advanced research in applied artificial intelligence
More for your money: exploiting performance heterogeneity in public clouds
Proceedings of the Third ACM Symposium on Cloud Computing
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We discuss two named-entity recognition models which use characters and character n-grams either exclusively or as an important part of their data representation. The first model is a character-level HMM with minimal context information, and the second model is a maximum-entropy conditional markov model with substantially richer context features. Our best model achieves an overall F1 of 86.07% on the English test data (92.31% on the development data). This number represents a 25% error reduction over the same model without word-internal (substring) features.