tailieunhanh - Search for entities based on the implicit semantic relations

The paper presents extracting, clustering, ranking techniques and a model of search for entity based on implicit semantic relation on Vietnamese language domain. | Journal of Computer Science and Cybernetics 2019 251-266 DOI 1813-9663 33 3 13210 SEARCH FOR ENTITIES BASED ON THE IMPLICIT SEMANTIC RELATIONS TRAN LAM QUAN1 VU TAT THANG2 1 Research and Implementation Center Vietnam Airlines 2Institute of Information Technology Vietnam Academy of Science and Technology quantl@ Crossref Similarity Check Abstract. Search for the entity based on implicit semantic relations is to find out informa-tion knowledge from an unfamiliar semantic domain using similarities from the familiar one through query. The paper presents extracting clustering ranking techniques and a model of search for entity based on implicit semantic relation on Vietnamese language domain. Keywords. Implicit Relational Entity Search Named-Entity Semantic Relation Similarity Relation. 1. INTRODUCTION In fact there are always relations between two entities existing such as Khuê Văn các - Văn miếu Temple of Literature Stepher Hawking - Physicist Thích Ca - School of Mahayana phái Đại thừa Apple - iPhone etc. Moreover there are similarity relations between two pairs of entities for example Nguyễn Du - Truyện Kiều The Tale of Kieu and Đoàn Thị Điểm - Chinh phụ ngâm Lament of the soldier s wife these pairs of entities are semantically similar it is the author The similarity of the semantic relation between Hanoi - Vietnam and Paris - France is the capital For The Qurán - Islam and The Gospel - Christianity it is the Bible For the Cốm - làng Vòng và Chả mực - Hạ Long green rice - Vong village and Grilled chopped squid - Halong it is the specialty etc. Each semantic relation is hidden under a particular meaning. In real life there are questions like If Fansipan is the highest mountain in Vietnam which one is the highest in India or If Trump is the current president of the United States who is the most powerful in Swedish etc. By the keyword search engine according to statistics queries are often short ambiguous and poly-semantic 5 . .

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