A self-learning universal concept spotter
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 2
Unsupervised learning of generalized names
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Extracting paraphrases from a parallel corpus
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Paraphrase acquisition for information extraction
PARAPHRASE '03 Proceedings of the second international workshop on Paraphrasing - Volume 16
Extracting parallel sub-sentential fragments from non-parallel corpora
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Weakly supervised named entity transliteration and discovery from multilingual comparable corpora
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Named entity transliteration and discovery from multilingual comparable corpora
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Weakly-supervised discovery of named entities using web search queries
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Automatically Detecting Members and Instrumentation of Music Bands Via Web Content Mining
Adaptive Multimedial Retrieval: Retrieval, User, and Semantics
Low-Cost Supervision for Multiple-Source Attribute Extraction
CICLing '09 Proceedings of the 10th International Conference on Computational Linguistics and Intelligent Text Processing
Clique-based clustering for improving named entity recognition systems
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Mining named entities with temporally correlated bursts from multilingual web news streams
Proceedings of the fourth ACM international conference on Web search and data mining
ACM Transactions on Asian Language Information Processing (TALIP)
Classifier Ensemble Selection Using Genetic Algorithm for Named Entity Recognition
Research on Language and Computation
Automatic rule learning exploiting morphological features for named entity recognition in Turkish
Journal of Information Science
A survey of methods to ease the development of highly multilingual text mining applications
Language Resources and Evaluation
Unsupervised biomedical named entity recognition: Experiments with clinical and biological texts
Journal of Biomedical Informatics
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In this paper we describe a way to discover Named Entities by using the distribution of words in news articles. Named Entity recognition is an important task for today's natural language applications, but it still suffers from data sparseness. We used an observation that a Named Entity is likely to appear synchronously in several news articles, whereas a common noun is less likely. Exploiting this characteristic, we successfully obtained rare Named Entities with 90% accuracy just by comparing time series distributions of a word in two newspapers. Although the achieved recall is not sufficient yet, we believe that this method can be used to strengthen the lexical knowledge of a Named Entity tagger.