Early Fusion Strategy for Entity-Relationship Retrieval

• Type: Article in International Conference Proceedings Book
• Date: 2017

Authors

Saleiro, P (Author) Other; Frayling, NM (Author) Other; Rodrigues, EM (Author) Other; Carlos Soares (Author) FEUP

Conference proceedings International

Title: Proceedings of the First Workshop on Knowledge Graphs and Semantics for Text Retrieval and Analysis (KG4IR 2017) co-located with the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017), Shinjuku, Tokyo, Japan, August 11, 2017.

Pages: 49-54

1st Workshop on Knowledge Graphs and Semantics for Text Retrieval and Analysis, KG4IR 2017

11 August 2017

Indexing

Scopus - 0 Citations

Other information

Authenticus ID: P-00M-Y06

Abstract (EN): 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. © Copyright by the paper's authors.

Language: English

Type (Professor's evaluation): Scientific