| Autor: |
Raju, Santosh, Pingali, Prasad, Varma, Vasudeva |
| Zdroj: |
Advances in Information Retrieval: 31th European Conference on Ir Research, Ecir 2009, Toulouse, France, April 6-9, 2009. Proceedings; 2009, p796-800, 5p |
| Abstrakt: |
Product Attribute Extraction is the task of automatically discovering attributes of products from text descriptions. In this paper, we propose a new approach which is both unsupervised and domain independent to extract the attributes. With our approach, we are able to achieve 92% precision and 62% recall in our experiments. Our experiments with varying dataset sizes show the robustness of our algorithm. We also show that even a minimum of 5 descriptions provide enough information to identify attributes. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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