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Using the k-nearest neighbor method and smart weighting in the patent document categorization subtask at ntcir-6 (2007)
| Venue: | In Proceedings of the Sixth NTCIR Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, Question Answering and Cross-Lingual Information Access |
| Citations: | 2 - 0 self |
BibTeX
@INPROCEEDINGS{Murata07usingthe,
author = {Masaki Murata and Toshiyuki Kanamaru and Tamotsu Shirado and Hitoshi Isahara},
title = {Using the k-nearest neighbor method and smart weighting in the patent document categorization subtask at ntcir-6},
booktitle = {In Proceedings of the Sixth NTCIR Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, Question Answering and Cross-Lingual Information Access},
year = {2007},
pages = {407--413}
}
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Abstract
Patent processing is important in industry, business, and law. We participated in the classification subtask (at NTCIR-6 Patent Retrieval Task), in which, we classified patent documents into their F-terms using the k-nearest neighbor method. For document classification, F-term categories are both very precise and useful. We entered five systems in the classification subtask and obtained good results with them. Thus, we confirmed the effectiveness of our method. By comparing various similarity calculation methods, we confirmed that the SMART weighting scheme was the most effective method in our experiments.
