Early Fusion Strategy for Entity-Relationship Retrieval

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2017

Autores

Saleiro, P (Autor) Outra; Frayling, NM (Autor) Outra; Rodrigues, EM (Autor) Outra; Carlos Soares (Autor) FEUP

Ata de Conferência Internacional

Título: 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.

Páginas: 49-54

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

11 August 2017

Indexação

Scopus - 0 Citações

Outras Informações

ID Authenticus: 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica