Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Nymble: a high-performance learning name-finder
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Term identification in the biomedical literature
Journal of Biomedical Informatics - Special issue: Named entity recognition in biomedicine
Overview of results of the MUC-6 evaluation
MUC6 '95 Proceedings of the 6th conference on Message understanding
High-recall protein entity recognition using a dictionary
Bioinformatics
Incorporating non-local information into information extraction systems by Gibbs sampling
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Maximum entropy estimation for feature forests
HLT '02 Proceedings of the second international conference on Human Language Technology Research
Introduction to the bio-entity recognition task at JNLPBA
JNLPBA '04 Proceedings of the International Joint Workshop on Natural Language Processing in Biomedicine and its Applications
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
Exploring deep knowledge resources in biomedical name recognition
JNLPBA '04 Proceedings of the International Joint Workshop on Natural Language Processing in Biomedicine and its Applications
Biomedical named entity recognition using conditional random fields and rich feature sets
JNLPBA '04 Proceedings of the International Joint Workshop on Natural Language Processing in Biomedicine and its Applications
Parsing '05 Proceedings of the Ninth International Workshop on Parsing Technology
Two-phase biomedical named entity recognition using a hybrid method
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
Kleio: a knowledge-enriched information retrieval system for biology
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Experimental Study on a Two Phase Method for Biomedical Named Entity Recognition
IEICE - Transactions on Information and Systems
Accelerating the annotation of sparse named entities by dynamic sentence selection
BioNLP '08 Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing
How to make the most of NE dictionaries in statistical NER
BioNLP '08 Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing
Reranking for biomedical named-entity recognition
BioNLP '07 Proceedings of the Workshop on BioNLP 2007: Biological, Translational, and Clinical Language Processing
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Latent variable perceptron algorithm for structured classification
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Stochastic gradient descent training for L1-regularized log-linear models with cumulative penalty
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 1 - Volume 1
Domain adaptation for conditional random fields
AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
Chinese new word identification: a latent discriminative model with global features
Journal of Computer Science and Technology - Special issue on natural language processing
Learning with lookahead: can history-based models rival globally optimized models?
CoNLL '11 Proceedings of the Fifteenth Conference on Computational Natural Language Learning
Semi-Markov conditional random fields for accelerometer-based activity recognition
Applied Intelligence
Automatic event extraction with structured preference modeling
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Extracting opinion expressions with semi-Markov conditional random fields
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
A Named Entity Recognition Method Based on Decomposition and Concatenation of Word Chunks
ACM Transactions on Asian Language Information Processing (TALIP)
International Journal of Information Retrieval Research
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This paper presents techniques to apply semi-CRFs to Named Entity Recognition tasks with a tractable computational cost. Our framework can handle an NER task that has long named entities and many labels which increase the computational cost. To reduce the computational cost, we propose two techniques: the first is the use of feature forests, which enables us to pack feature-equivalent states, and the second is the introduction of a filtering process which significantly reduces the number of candidate states. This framework allows us to use a rich set of features extracted from the chunk-based representation that can capture informative characteristics of entities. We also introduce a simple trick to transfer information about distant entities by embedding label information into non-entity labels. Experimental results show that our model achieves an F-score of 71.48% on the JNLPBA 2004 shared task without using any external resources or post-processing techniques.