Internal and external evidence in the identification and semantic categorization of proper names
Corpus processing for lexical acquisition
An Algorithm that Learns What‘s in a Name
Machine Learning - Special issue on natural language learning
A maximum entropy approach to named entity recognition
A maximum entropy approach to named entity recognition
Named Entity recognition without gazetteers
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
Statistical significance of MUC-6 results
MUC6 '95 Proceedings of the 6th conference on Message understanding
MITRE: description of the Alembic system used for MUC-6
MUC6 '95 Proceedings of the 6th conference on Message understanding
Introduction to the CoNLL-2000 shared task: chunking
ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7
ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7
Error-driven HMM-based chunk tagger with context-dependent lexicon
EMNLP '00 Proceedings of the 2000 Joint SIGDAT conference on Empirical methods in natural language processing and very large corpora: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - Volume 13
Knowledge discovery from texts: a concept frame graph approach
Proceedings of the eleventh international conference on Information and knowledge management
Mining Semantic Networks for Knowledge Discovery
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Web-a-where: geotagging web content
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Enhancing HMM-based biomedical named entity recognition by studying special phenomena
Journal of Biomedical Informatics - Special issue: Named entity recognition in biomedicine
Machine learning-based named entity recognition via effective integration of various evidences
Natural Language Engineering
Identifying and tracking entity mentions in a maximum entropy framework
NAACL-Short '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume of the Proceedings of HLT-NAACL 2003--short papers - Volume 2
Coreference resolution using competition learning approach
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Automatic acquisition of named entity tagged corpus from world wide web
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 2
Detecting dominant locations from search queries
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Chinese named entity recognition using lexicalized HMMs
ACM SIGKDD Explorations Newsletter - Natural language processing and text mining
Named entity recognition as a house of cards: classifier stacking
COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
Korean named entity recognition using HMM and CoTraining model
AsianIR '03 Proceedings of the sixth international workshop on Information retrieval with Asian languages - Volume 11
Effective adaptation of a Hidden Markov Model-based named entity recognizer for biomedical domain
BioMed '03 Proceedings of the ACL 2003 workshop on Natural language processing in biomedicine - Volume 13
Named entity recognition with a maximum entropy approach
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
Language independent NER using a maximum entropy tagger
CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4
Single character Chinese named entity recognition
SIGHAN '03 Proceedings of the second SIGHAN workshop on Chinese language processing - Volume 17
Grounding spatial named entities for information extraction and question answering
HLT-NAACL-GEOREF '03 Proceedings of the HLT-NAACL 2003 workshop on Analysis of geographic references - Volume 1
ACM Transactions on Asian Language Information Processing (TALIP)
Secure deletion from inverted indexes on compliance storage
Proceedings of the second ACM workshop on Storage security and survivability
Toward harnessing user feedback for machine learning
Proceedings of the 12th international conference on Intelligent user interfaces
Improving pronoun resolution using statistics-based semantic compatibility information
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Modeling commonality among related classes in relation extraction
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Discriminative hidden Markov modeling with long state dependence using a kNN ensemble
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
An NP-cluster based approach to coreference resolution
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
A high-performance coreference resolution system using a constraint-based multi-agent strategy
COLING '04 Proceedings of the 20th international conference on 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
Combining data-driven systems for improving Named Entity Recognition
Data & Knowledge Engineering
ARE: instance splitting strategies for dependency relation-based information extraction
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
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
Towards a context model driven german geo-tagging system
Proceedings of the 4th ACM workshop on Geographical information retrieval
Mining geographic knowledge using location aware topic model
Proceedings of the 4th ACM workshop on Geographical information retrieval
STEWARD: architecture of a spatio-textual search engine
Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems
Hungarian named entity recognition with a maximum entropy approach
Acta Cybernetica
Entity categorization over large document collections
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
A twin-candidate model for learning-based anaphora resolution
Computational Linguistics
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
A Toponym Resolution Service Following the OGC WPS Standard
W2GIS '08 Proceedings of the 8th International Symposium on Web and Wireless Geographical Information Systems
Interacting meaningfully with machine learning systems: Three experiments
International Journal of Human-Computer Studies
ICCS '09 Proceedings of the 9th International Conference on Computational Science: Part I
Recognizing names in biomedical texts using hidden Markov model and SVM plus sigmoid
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
Semi-automatic entity set refinement
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Exploiting named entity taggers in a second language
ACLstudent '05 Proceedings of the ACL Student Research Workshop
Global learning of noun phrase anaphoricity in coreference resolution via label propagation
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
Direct modelling of output context dependence in discriminative hidden Markov model
Pattern Recognition Letters
A hidden Markov model based named entity recognition system: Bengali and Hindi as case studies
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
Creating a dead poets society: extracting a social network of historical persons from the web
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
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
An Information-Extraction System for Urdu---A Resource-Poor Language
ACM Transactions on Asian Language Information Processing (TALIP)
Using deep belief nets for Chinese named entity categorization
NEWS '10 Proceedings of the 2010 Named Entities Workshop
Dependency-driven anaphoricity determination for coreference resolution
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Impact of spontaneous speech features on business concept detection: a study of call-centre data.
Proceedings of the 2010 international workshop on Searching spontaneous conversational speech
Study on named entity recognition for Polish based on hidden Markov models
TSD'10 Proceedings of the 13th international conference on Text, speech and dialogue
Comparing and combining chunkers of biomedical text
Journal of Biomedical Informatics
Learning noun phrase anaphoricity in coreference resolution via label propagation
Journal of Computer Science and Technology - Special issue on natural language processing
A dynamic visual interface for news stream analysis
Proceedings of the first international workshop on Intelligent visual interfaces for text analysis
Recognizing named entities in tweets
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Introduction to linked data and its lifecycle on the web
RW'11 Proceedings of the 7th international conference on Reasoning web: semantic technologies for the web of data
Inferring specifications for resources from natural language API documentation
Automated Software Engineering
Maximum entropy named entity recognition for Czech language
TSD'11 Proceedings of the 14th international conference on Text, speech and dialogue
Quantifying the impact of concept recognition on biomedical information retrieval
Information Processing and Management: an International Journal
SCMS: semantifying content management systems
ISWC'11 Proceedings of the 10th international conference on The semantic web - Volume Part II
Chinese named entity recognition with a hybrid-statistical model
APWeb'05 Proceedings of the 7th Asia-Pacific web conference on Web Technologies Research and Development
Extracting named entities using support vector machines
KDLL'06 Proceedings of the 2006 international conference on Knowledge Discovery in Life Science Literature
Syntactic and semantic disambiguation of numeral strings using an n-gram method
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
Improving noun phrase coreference resolution by matching strings
IJCNLP'04 Proceedings of the First international joint conference on Natural Language Processing
Empirical textual mining to protein entities recognition from pubmed corpus
NLDB'05 Proceedings of the 10th international conference on Natural Language Processing and Information Systems
CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing
CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing
Learning named entity recognition in portuguese from spanish
CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing
A chunking strategy towards unknown word detection in chinese word segmentation
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
A bootstrapping approach for geographic named entity annotation
AIRS'04 Proceedings of the 2004 international conference on Asian Information Retrieval Technology
Geographic information retrieval: Modeling uncertainty of user's context
Fuzzy Sets and Systems
Fine tuning features and post-processing rules to improve named entity recognition
NLDB'06 Proceedings of the 11th international conference on Applications of Natural Language to Information Systems
Heuristic and rule-based knowledge acquisition: classification of numeral strings in text
PKAW'06 Proceedings of the 9th Pacific Rim Knowledge Acquisition international conference on Advances in Knowledge Acquisition and Management
Comparison of numeral strings interpretation: rule-based and feature-based n-gram methods
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Annotating text segments using a web-based categorization approach
ICADL'05 Proceedings of the 8th international conference on Asian Digital Libraries: implementing strategies and sharing experiences
Decision support for the software product line domain engineering lifecycle
Automated Software Engineering
Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries
Recognition of chinese personal names based on CRFs and law of names
APWeb'12 Proceedings of the 14th international conference on Web Technologies and Applications
TwiNER: named entity recognition in targeted twitter stream
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
International Journal of Data Mining and Bioinformatics
Proceedings of the first workshop on Information and knowledge management for developing region
BioNLP '12 Proceedings of the 2012 Workshop on Biomedical Natural Language Processing
Two-stage NER for tweets with clustering
Information Processing and Management: an International Journal
Named entity recognition for tweets
ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on twitter and microblogging services, social recommender systems, and CAMRa2010: Movie recommendation in context
Transfer joint embedding for cross-domain named entity recognition
ACM Transactions on Information Systems (TOIS)
Exploiting hybrid contexts for Tweet segmentation
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Introduction to linked data and its lifecycle on the web
RW'13 Proceedings of the 9th international conference on Reasoning Web: semantic technologies for intelligent data access
Unsupervised biomedical named entity recognition: Experiments with clinical and biological texts
Journal of Biomedical Informatics
A hybrid approach to Arabic named entity recognition
Journal of Information Science
Information Services and Use - Mining the Digital Information Networks
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This paper proposes a Hidden Markov Model (HMM) and an HMM-based chunk tagger, from which a named entity (NE) recognition (NER) system is built to recognize and classify names, times and numerical quantities. Through the HMM, our system is able to apply and integrate four types of internal and external evidences: 1) simple deterministic internal feature of the words, such as capitalization and digitalization; 2) internal semantic feature of important triggers; 3) internal gazetteer feature; 4) external macro context feature. In this way, the NER problem can be resolved effectively. Evaluation of our system on MUC-6 and MUC-7 English NE tasks achieves F-measures of 96.6% and 94.1% respectively. It shows that the performance is significantly better than reported by any other machine-learning system. Moreover, the performance is even consistently better than those based on handcrafted rules.