  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.
