Explore Entity Embedding Effectiveness in Entity Retrieval [article]

Zhenghao Liu, Chenyan Xiong, Maosong Sun, Zhiyuan Liu
2019 arXiv   pre-print
This paper explores entity embedding effectiveness in ad-hoc entity retrieval, which introduces distributed representation of entities into entity retrieval. The knowledge graph contains lots of knowledge and models entity semantic relations with the well-formed structural representation. Entity embedding learns lots of semantic information from the knowledge graph and represents entities with a low-dimensional representation, which provides an opportunity to establish interactions between
more » ... related entities and candidate entities for entity retrieval. Our experiments demonstrate the effectiveness of entity embedding based model, which achieves more than 5\% improvement than the previous state-of-the-art learning to rank based entity retrieval model. Our further analysis reveals that the entity semantic match feature effective, especially for the scenario which needs more semantic understanding.
arXiv:1908.10554v1 fatcat:zepi5ixl3bfgfnqz5zriodjhtq