Natural language understanding (2nd ed.)
Natural language understanding (2nd ed.)
The nature of statistical learning theory
The nature of statistical learning theory
Making large-scale support vector machine learning practical
Advances in kernel methods
Fast training of support vector machines using sequential minimal optimization
Advances in kernel methods
Reducing the run-time complexity in support vector machines
Advances in kernel methods
Exploiting generative models in discriminative classifiers
Proceedings of the 1998 conference on Advances in neural information processing systems II
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
A maximum entropy approach to named entity recognition
A maximum entropy approach to named entity recognition
Exact simplification of support vector solutions
The Journal of Machine Learning Research
Japanese named entity extraction evaluation: analysis of results
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
Japanese named entity recognition based on a simple rule generator and decision tree learning
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Chunking with support vector machines
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
Comparison of character-level and part of speech features for name recognition in biomedical texts
Journal of Biomedical Informatics - Special issue: Named entity recognition in biomedicine
A clustering method for news articles retrieval system
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
SVM answer selection for open-domain question answering
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Japanese Named Entity extraction with redundant morphological analysis
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Fast methods for kernel-based text analysis
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Hierarchical directed acyclic graph kernel: methods for structured natural language data
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Chinese named entity recognition using lexicalized HMMs
ACM SIGKDD Explorations Newsletter - Natural language processing and text mining
A search result clustering method using informatively named entities
Proceedings of the 7th annual ACM international workshop on Web information and data management
An analysis of a high-performance japanese question answering system
ACM Transactions on Asian Language Information Processing (TALIP)
Single character Chinese named entity recognition
SIGHAN '03 Proceedings of the second SIGHAN workshop on Chinese language processing - Volume 17
Question classification using HDAG kernel
MultiSumQA '03 Proceedings of the ACL 2003 workshop on Multilingual summarization and question answering - Volume 12
Japanese zero pronoun resolution based on ranking rules and machine learning
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
Multi-language named-entity recognition system based on HMM
MultiNER '03 Proceedings of the ACL 2003 workshop on Multilingual and mixed-language named entity recognition - Volume 15
A kernel PCA method for superior word sense disambiguation
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
A deterministic word dependency analyzer enhanced with preference learning
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Detecting, categorizing and clustering entity mentions in Chinese text
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
A de-identifier for medical discharge summaries
Artificial Intelligence in Medicine
Extracting related named entities from blogosphere for event mining
Proceedings of the 2nd international conference on Ubiquitous information management and communication
Adapting svm for data sparseness and imbalance: A case study in information extraction
Natural Language Engineering
PKUNEI --- A Knowledge---Based Approach for Chinese Product Named Entity Semantic Identification
ICCPOL '09 Proceedings of the 22nd International Conference on Computer Processing of Oriental Languages. Language Technology for the Knowledge-based Economy
Robust extraction of named entity including unfamiliar word
HLT-Short '08 Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers
splitSVM: fast, space-efficient, non-heuristic, polynomial kernel computation for NLP applications
HLT-Short '08 Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers
An approximate approach for training polynomial kernel SVMs in linear time
ACL '07 Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions
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
SVMs modeling for highly imbalanced classification
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on human computing
On the role of lexical features in sequence labeling
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
Polynomial to linear: efficient classification with conjunctive features
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
Analysis and robust extraction of changing named entities
NEWS '09 Proceedings of the 2009 Named Entities Workshop: Shared Task on Transliteration
Czech named entity corpus and SVM-based recognizer
NEWS '09 Proceedings of the 2009 Named Entities Workshop: Shared Task on Transliteration
Using uneven margins SVM and perceptron for information extraction
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
DAARC'07 Proceedings of the 6th discourse anaphora and anaphor resolution conference on Anaphora: analysis, algorithms and applications
Identification of Chinese verb nominalization using support vector machine
MICAI'07 Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence
Semi-joint labeling for chinese named entity recognition
AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
A composite kernel for named entity recognition
Pattern Recognition Letters
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Distributional similarity vs. PU learning for entity set expansion
ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
Training and Testing Low-degree Polynomial Data Mappings via Linear SVM
The Journal of Machine Learning Research
Experiments on summary-based opinion classification
CAAGET '10 Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text
Using deep belief nets for Chinese named entity categorization
NEWS '10 Proceedings of the 2010 Named Entities Workshop
Reshaping automatic speech transcripts for robust high-level spoken document analysis
AND '10 Proceedings of the fourth workshop on Analytics for noisy unstructured text data
Kernel slicing: scalable online training with conjunctive features
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Semantic entity detection by integrating CRF and SVM
WAIM'10 Proceedings of the 11th international conference on Web-age information management
Information Systems Frontiers
EagleEye: entity-centric business intelligence for smarter decisions
IBM Journal of Research and Development
Medical entity recognition: a comparison of semantic and statistical methods
BioNLP '11 Proceedings of BioNLP 2011 Workshop
Automatic acquisition of huge training data for bio-medical named entity recognition
BioNLP '11 Proceedings of BioNLP 2011 Workshop
Maximum entropy named entity recognition for Czech language
TSD'11 Proceedings of the 14th international conference on Text, speech and dialogue
Extracting named entities using support vector machines
KDLL'06 Proceedings of the 2006 international conference on Knowledge Discovery in Life Science Literature
Chinese named entity recognition based on multilevel linguistic features
IJCNLP'04 Proceedings of the First international joint conference on Natural Language Processing
Acquiring bilingual named entity translations from content-aligned corpora
IJCNLP'04 Proceedings of the First international joint conference on Natural Language Processing
SVM based learning system for information extraction
Proceedings of the First international conference on Deterministic and Statistical Methods in Machine Learning
Bootstrapped named entity recognition for product attribute extraction
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries
Coupling knowledge-based and data-driven systems for named entity recognition
HYBRID '12 Proceedings of the Workshop on Innovative Hybrid Approaches to the Processing of Textual Data
Finite rank kernels for multi-task learning
Advances in Computational Mathematics
Transfer joint embedding for cross-domain named entity recognition
ACM Transactions on Information Systems (TOIS)
A Named Entity Recognition Method Based on Decomposition and Concatenation of Word Chunks
ACM Transactions on Asian Language Information Processing (TALIP)
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Named Entity (NE) recognition is a task in which proper nouns and numerical information are extracted from documents and are classified into categories such as person, organization, and date. It is a key technology of Information Extraction and Open-Domain Question Answering. First, we show that an NE recognizer based on Support Vector Machines (SVMs) gives better scores than conventional systems. However, off-the-shelf SVM classifiers are too inefficient for this task. Therefore, we present a method that makes the system substantially faster. This approach can also be applied to other similar tasks such as chunking and part-of-speech tagging. We also present an SVM-based feature selection method and an efficient training method.