Early Fusion Strategy for Entity Relationship Retrieval
We address the task of entity relationship (E R) retrieval, i.e, given a query characterizing types of two or more entities and relationships between them, retrieve the relevant tuples of related entities. Answering E R queries requires gathering and joining evidence from multiple unstructured documents. In this work, we consider entity and relationships of any type, i.e, characterized by context terms instead of pre defined types or relationships. We propose a novel IR centric approach for E R retrieval, that builds on the basic early fusion design pattern for object retrieval, to provide extensible entity relationship representations, suitable for complex, multi relationships queries. We performed experiments with Wikipedia articles as entity representations combined with relationships extracted from ClueWeb 09 B with FACC1 entity linking. We obtained promising results using 3 different query collections comprising 469 E R queries.
KG4IR@SIGIR