Learning to Tag Multilingual Texts Through Observation (1997)
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| Venue: | In Proceedings of the Second Conference on Empirical Methods in Natural Language Processing |
| Citations: | 20 - 1 self |
BibTeX
@INPROCEEDINGS{Bennett97learningto,
author = {Scott W. Bennett and Chinatsu Aone and Craig Lovell},
title = {Learning to Tag Multilingual Texts Through Observation},
booktitle = {In Proceedings of the Second Conference on Empirical Methods in Natural Language Processing},
year = {1997},
pages = {109--116}
}
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Abstract
This paper describes RoboTag, an advanced prototype for a machine learningbased multilingual information extraction system. First, we describe a general client/server architecture used in learning from observation. Then we give a detailed description of our novel decision-tree tagging approach. RoboTag performance for the proper noun tagging task in English and Japanese is compared against humantagged keys and to the best hand-coded pattern performance (as reported in the MUC and MET evaluation results). Re- lated work and future directions are pre- sented.
Citations
| 4071 | C4.5: Programs for machine learning - Quinlan - 1993 |
| 238 | Nymble: a High-Performance Learning Name-finder - Bikel, Miller, et al. - 1997 |
| 158 | A Corpus-Based Approach to Language Learning - Brill - 1993 |
| 58 | Description of the SRA System as Used for MUC-6 - Krupka - 1995 |
| 6 | An intelligent multilingual information browsing and retrieval system using information extraction - Aone, Charocopos, et al. - 1997 |
| 5 | Learning to Recognize Names Across Languages - Gallippi - 1996 |
