Entity Retrieval in the Knowledge Graph with Hierarchical Entity Type and Content
Refereed conference paper presented and published in conference proceedings

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其它資訊
摘要We investigate the task of ad-hoc entity retrieval from a knowledge graph with hierarchical entity types and entity descriptions. Our model directly encodes them into a Markov random field based framework via a path aware smoothing method. We conduct experiments on recent benchmark datasets and investigate the incorporation of the Wikipedia type and article information. The results show that our framework achieves improvements over the existing and state-of-the-art models
出版社接受日期14.09.2018
著者Xinshi Lin, Wai Lam, Kwun Ping Lai
會議名稱ACM SIGIR International Conference on the Theory of Information Retrieval, ICTIR 2018
會議開始日14.09.2018
會議完結日17.09.2018
會議地點Tianjin
會議國家/地區中國
會議論文集題名Proceedings of the 2018 ACM SIGIR International Conference on the Theory of Information Retrieval
出版年份2018
月份9
頁次211 - 214
國際標準書號978-145035656-5
語言英式英語

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