Army ANT: A Workbench for Innovation in Entity-Oriented Search

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2020

Autores

José Devezas (Autor) Outra; Sérgio Nunes (Autor) FEUP

Ata de Conferência Internacional

Título: Advances in Information Retrieval - 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020, Proceedings, Part II

Páginas: 449-453

42nd European Conference on IR Research, ECIR 2020

14 April 2020 through 17 April 2020

Indexação

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-00S-21K

DOI: 10.1007/978-3-030-45442-5_56

Abstract (EN): As entity-oriented search takes the lead in modern search, the need for increasingly flexible tools, capable of motivating innovation in information retrieval research, also becomes more evident. Army ANT is an open source framework that takes a step forward in generalizing information retrieval research, so that modern approaches can be easily integrated in a shared evaluation environment. We present an overview on the system architecture of Army ANT, which has four main abstractions: (i) readers, to iterate over text collections, potentially containing associated entities and triples; (ii) engines, that implement indexing and searching approaches, supporting different retrieval tasks and ranking functions; (iii) databases, to store additional document metadata; and (iv) evaluators, to assess retrieval performance for specific tasks and test collections. We also introduce the command line interface and the web interface, presenting a learn mode as a way to explore, analyze and understand representation and retrieval models, through tracing, score component visualization and documentation. © Springer Nature Switzerland AG 2020.

Idioma: Inglês

Tipo (Avaliação Docente): Científica