Explicit Semantic Ranking for Academic Search via Knowledge Graph Embedding

Chenyan Xiong, Russell Power, Jamie Callan
2017 Proceedings of the 26th International Conference on World Wide Web - WWW '17  
This paper introduces Explicit Semantic Ranking (ESR), a new ranking technique that leverages knowledge graph embedding. Analysis of the query log from our academic search engine, SemanticScholar.org, reveals that a major error source is its inability to understand the meaning of research concepts in queries. To addresses this challenge, ESR represents queries and documents in the entity space and ranks them based on their semantic connections from their knowledge graph embedding. Experiments
more » ... monstrate ESR's ability in improving Semantic Scholar's online production system, especially on hard queries where word-based ranking fails.
doi:10.1145/3038912.3052558 dblp:conf/www/XiongPC17 fatcat:a4fbcdymcvejjkimvsg3r3onry