Proudly built by:

Explicit Semantic Ranking

This dataset is designed to demonstrate 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 demonstrate ESR's ability in improving Semantic Scholar's online production system, especially on hard queries where word-based ranking fails.

Citation

If you find this dataset helpful in your work, please cite:

@inproceedings{xiong2017ESR,
title={Explicit Semantic Ranking for Academic Search via Knowledge Graph Embedding},
author={Xiong, Chenyan and Power, Russell and Callan, Jamie},
booktitle={Proceedings of the 26th International Conference on World Wide Web (WWW 2017)},
note={To appear},
year={2017},
organization={ACM}
};