Baluja, Shumeet, Vibhu O. Mittal, and Rahul Sukthankar. 1999. Applying machine learning for high performance named-entity extraction. In Proceedings, PACLING'99, pages 365378, Waterloo, CA. Home/Search Document Details and Download
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QALC - the Question-Answering program of the.. - Ferret, Grau.. (4 citations) (Correct)
.... the computation by running FASTR on a smaller part of the collection; ffl term acquisition could be improved through a disambiguation of long noun phrases and a better partof speech tagging of the questions; ffl named entity recognition could be improved through machine learning techniques (Baluja, Mittal, and Sukthankar, 1999). ....
Baluja, Shumeet, Vibhu O. Mittal, and Rahul Sukthankar. 1999. Applying machine learning for high performance named-entity extraction. In Proceedings, PACLING'99, pages 365--378, Waterloo, CA.
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....are well suited for combining a wide variety of information. Features used as input to the tree can range from linguistic information such as part of speech category to the frequency of a word or phrase in a specified corpus. We are encouraged in our approach by the results of similar research. Baluja and his colleagues (1999) use a decision tree to identify names. In other research (Toole, 1999) we use a decision tree to identify misspellings. Both of these results are encouraging. For this project, we made use of the Decision Tree that is part of IBM s Intelligent Miner suite for data mining 1 . Since the point ....
Baluja, S., Mittal, V., & Sukthankar, R. (1999). Applying machine learning for high performance named-entity extraction. In Proceedings of the Conference of the Pacific Association for Computational Linguistics (pp 365--378).
QALC - the Question-Answering program of the.. - Ferret, Grau.. (4 citations) (Correct)
.... the computation by running FASTR on a smaller part of the collection; ffl term acquisition could be improved through a disambiguation of long noun phrases and a better partof speech tagging of the questions; ffl named entity recognition could be improved through machine learning techniques (Baluja, Mittal, and Sukthankar, 1999). ....
Baluja, Shumeet, Vibhu O. Mittal, and Rahul Sukthankar. 1999. Applying machine learning for high performance named-entity extraction. In Proceedings, PACLING'99, pages 365378, Waterloo, CA.
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....to learn to recognize and classify names, dates, times, and numerical quantities. A name is classified into three categories: the name of a person, the name of a location, and the name of an organization. Numerical quantities are classified into monetary amounts or percentages. Baluja et al. [1] use a decision tree classifier in conjunction with information from part of speech tagging, dictionary lookup, and textual information (such as capitalization) to extract names. Their system does not attempt to distinguish between names of persons, locations, and organizations. In our ....
Baluja, S., Mittal, V., & Sukthankar, R. Applying machine learning for high performance named-entity extraction. Proc. Pacific Association for Computational Linguistics. 1999.
QALC - the Question-Answering system of LIMSI-CNRS - Olivier Ferret Brigitte (2000) (1 citation) (Correct)
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Baluja, Shumeet, Vibhu O. Mittal, and Rahul Sukthankar. 1999. Applying machine learning for high performance named-entity extraction. In Proceedings, PACLING'99, pages 365378, Waterloo, CA.
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S. Baluja, V. Mittal, and R. Sukthankar. Applying machine learning for high performance named-entity extraction. Computational Intelligence, 16(4):586--595, November 2000.
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S. Baluja, V. Mittal, and R. Sukthankar. Applying machine learning for high performance named-entity extraction. Computational Intelligence, 16, Nov. 2000.
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S. Baluja, V. O. Mittal, and R. Sukthankar. Applying machine learning for high performance named-entity extraction. In Pacific Association for Computational Linguistics, 1999.
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S. Baluja, V. O. Mittal, and R. Sukthankar. Applying machine learning for high performance named-entity extraction. In Pacific Association for Computational Linguistics, 1999.
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S. Baluja, V.O. Mittal, R.Sukthankar. Applying machine learning for high performance Named-Entity extraction. PACLING'99, Waterloo, Canada, 1999.
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Shumeet Baluja, Vibhu Mittal and Rahul Sukthankar, Applying Machine Learning for High Performance Named-Entity Extraction, Computational Intelligence, Vol.16, No.4, November 2000.
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