Paper: Tailor knowledge graph for query understanding: linking intent topics by propagation

ACL ID D14-1114
Title Tailor knowledge graph for query understanding: linking intent topics by propagation
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2014
Authors

Knowledge graphs are recently used for enriching query representations in an entity-aware way for the rich facts or- ganized around entities in it. How- ever, few of the methods pay attention to non-entity words and clicked websites in queries, which also help conveying user intent. In this paper, we tackle the prob- lem of intent understanding with innova- tively representing entity words, refiners and clicked urls as intent topics in a uni- fied knowledge graph based framework, in a way to exploit and expand knowl- edge graph which we call ?tailor?. We collaboratively exploit global knowledge in knowledge graphs and local contexts in query log to initialize intent representa- tion, then propagate the enriched features in a graph consisting of intent topics us- ing an unsupervised algorit...