Error Analysis on Product Attribute Value Extraction

Author:

Shinzato Keiji1,Sekine Satoshi2,Murakami Koji1

Affiliation:

1. Rakuten Institute of Technology

2. New York University

Publisher

Association for Natural Language Processing

Reference13 articles.

1. Bing, L., Wong, T.-L., and Lam, W. (2012). “Unsupervised Extraction of Popular Product Attributes from Web Sites.” In Proceedings of the 8th Asia Information Retrieval Societies Conference, pp. 437–446.

2. Ghani, R., Probst, K., Liu, Y., Krema, M., and Fano, A. (2006). “Text Mining for Product Attribute Extraction.” ACM SIGKDD Explorations Newsletter, 8 (1), pp. 41–48.

3. Mauge, K., Rohanimanesh, K., and Ruvini, J.-D. (2012). “Structuring E-Commerce Inventory.” In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 805–814.

4. Mintz, M., Bills, S., Snow, R., and Jurafsky, D. (2009). “Distant Supervision for Relation Extraction without Labeled Data.” In Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP, pp. 1003–1011.

5. Probst, K., Ghani, R., Krema, M., Fano, A., and Liu, Y. (2007). “Semi-supervised Learning of Attribute-value Pairs from Product Descriptions.” In Proceedings of the 20th International Joint Conference in Artificial Intelligence, pp. 2838–2843.

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