Learning dictionaries for information extraction by multi-level bootstrapping
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Discovering word senses from text
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Automatic retrieval and clustering of similar words
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Distributional clustering of English words
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Automatic acquisition of hyponyms from large text corpora
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Automatic construction of a hypernym-labeled noun hierarchy from text
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A graph model for unsupervised lexical acquisition
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Unsupervised named-entity extraction from the web: an experimental study
Artificial Intelligence
Improvements in automatic thesaurus extraction
ULA '02 Proceedings of the ACL-02 workshop on Unsupervised lexical acquisition - Volume 9
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Scaling distributional similarity to large corpora
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Names and similarities on the web: fact extraction in the fast lane
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Towards terascale knowledge acquisition
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Enhancement of lexical concepts using cross-lingual web mining
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
Automated translation of semantic relationships
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
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We present a method which, given a few words defining a concept in some language, retrieves, disambiguates and extends corresponding terms that define a similar concept in another specified language. This can be very useful for cross-lingual information retrieval and the preparation of multi-lingual lexical resources. We automatically obtain term translations from multilingual dictionaries and disambiguate them using web counts. We then retrieve web snippets with co-occurring translations, and discover additional concept terms from these snippets. Our term discovery is based on co-appearance of similar words in symmetric patterns. We evaluate our method on a set of language pairs involving 45 languages, including combinations of very dissimilar ones such as Russian, Chinese, and Hebrew for various concepts. We assess the quality of the retrieved sets using both human judgments and automatically comparing the obtained categories to corresponding English WordNet synsets.