Abstract
Mining facets of topics is an essential task nowadays. Facet heterogeneity and long tail characteristic of information make facet mining tasks difficult. In this paper we propose a weakly supervised approach, called Topic-specific Facet (TF)-Miner, to mine TFs automatically by a Label Propagation algorithm (LPA). The process of propagation helps us mine complete facet sets. Experiments on several real-world datasets show that TF-Miner achieves better performance than the facet mining approaches which rely on the texts only.
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References
Benno, S., Tim, G., Dennis, H.: Search result presentation based on faceted clustering. In: Proceedings of the 21st ACM International Conference on Information and Knowledge Management, pp. 1940–1944. ACM (2012)
Bifan, W., Jun, L., Qinghua, Z., Wei, Z., Chenchen, W., Wu, B.: Df-Miner: Domain-specific facet mining by leveraging the hyperlink structure of wikipedia. Knowl.-Based Syst. 77, 80–91 (2015)
Bifan, W., Jun, L., Qinghua, Z., Wei, Z., Xiaoyu, F., Boqin, F.: A survey of faceted search. J. Web Eng. 12, 41–64 (2013)
David, C., Haggai, R., Naama, Z.: Enhancing cluster labeling using Wikipedia. In: Proceedings of the 32nd International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 139–146. ACM (2009)
Jeffrey, P., Stelios, P., Panayiotis, T.: Facet discovery for structured web search: a query-log mining approach. In: Proceedings of the 2011 ACM SIGMOD International Conference on Management of Data, pp. 169–180. ACM (2011)
Cutting, D.R., Karger, D.R., Pedersen, J.O., Tukey, J.W.: Scatter/gather: a cluster-based approach to browsing large document collections. In: Proceedings of the 15th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 318–329. ACM (1992)
Tom, K., Maarten, D.R.: Short text similarity with word embeddings. In: Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, pp. 1411–1420. ACM (2015)
Liu, W., et al.: Faceted fusion of RDF data. Inf. Fus. 23, 16–24 (2015)
Dou, Z., Jiang, Z., Hu, S., Wen, J.-R., Song, R.: Automatically mining facets for queries from their search results. IEEE Trans. Knowl. Data Eng. 28(2), 385–397 (2016)
Acknowledgment
This work was supported by National Key R&D Program of China (2017YFB1401300, 2017YFB1401302), National Natural Science Foundation of China (61532015, 61532004, 61672419, and 61672418), Innovative Research Group of the National Natural Science Foundation of China (61721002), Innovation Research Team of Ministry of Education (IRT_17R86), Project of China Knowledge Centre for Engineering Science and Technology.
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Guo, Z., Wei, B., Liu, J., Wu, B. (2019). TF-Miner: Topic-Specific Facet Mining by Label Propagation. In: Li, G., Yang, J., Gama, J., Natwichai, J., Tong, Y. (eds) Database Systems for Advanced Applications. DASFAA 2019. Lecture Notes in Computer Science(), vol 11448. Springer, Cham. https://doi.org/10.1007/978-3-030-18590-9_66
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DOI: https://doi.org/10.1007/978-3-030-18590-9_66
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