Name
Abstract | ||
|---|---|---|
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. |
Year | Venue | DocType |
|---|---|---|
2017 | KG4IR@SIGIR | Conference |
Volume | Citations | PageRank |
abs/1707.09075 | 1 | 0.35 |
References | Authors | |
10 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pedro Saleiro | 1 | 19 | 5.63 |
| Natasa Milic-Frayling | 2 | 917 | 75.24 |
| Eduarda Mendes Rodrigues | 3 | 350 | 21.40 |
| Carlos Soares | 4 | 95 | 18.18 |