CISUC

Relation detection between named entities: report of a shared task

Authors

Abstract

In this paper we describe the first evaluation contest (track) for Portuguese whose goal was to detect and classify relations between named entities in running text, called ReRelEM. Given a collection annotated with named entities belonging to ten different semantic categories, we marked all relationships between them within each document. We used the following fourfold relationship classification: identity, included-in, located-in, and other (which was later on explicitly detailed into twenty different relations). We provide a quantitative description of this evaluation resource, as well as describe the evaluation architecture and summarize the results of the participating systems in the track.

Subject

Natural Language Processing

Conference

SEW-2009 - Semantic Evaluations: Recent Achievements and Future Directions, NAACL-HLT 2009 Workshop, May 2009


Cited by

Year 2018 : 1 citations

 Fonseca, E. B. (2018). Resolução de Correferência Nominal Usando Semântica em Língua Portuguesa. PhD thesis, Pontfícia Universidade Católica do Rio Grande do Sul.

Year 2017 : 3 citations

 Lijun, L. (2017). Process-oriented Knowledge Discovery to Support Product Design Using Text Mining. PhD thesis, National University of Singapore.

 Fonseca, E., Sesti, V., Antonitsch, A., Vanin, A., and Vieira, R. (2017). CORP: Uma abordagem baseada em regras e conhecimento semntico para a resoluo de correferncias. Linguamática, 9(1):3–18.

 Pires, A. R. O. (2017). Named entity extraction from portuguese web text. MSc thesis, Universidade do Porto.

Year 2016 : 2 citations

 Batista, D. S. (2016). Large-Scale Semantic Relationship Extraction for Information Discovery. PhD thesis, Universidade de Lisboa.

 Lan, L., Liu, Y., and Lu, W. F. (2016). Discovering a hierarchical design process model using text mining. In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, pages V01BT02A024–V01BT02A024. American Society of Mechanical Engineers.

Year 2015 : 1 citations

 de Sousa, H. T. (2015). Caracterização de um corpus jornalístico português. Master’s thesis, Universidade do Porto.

Year 2013 : 1 citations

 Sandra Collovini de Abreu, Tiago Luis Bonamigo, Renata Vieira. A review on Relation Extraction with an eye on Portuguese. Journal of the Brazilian Computer Society. Springer. July 2013

Year 2012 : 1 citations

 Antonio Paulo Santos, Carlos Ramos, Nuno C. Marques. Extração de Relaçoes em Títulos de Notícias Desportivas. Actas do Inforum 2012, Simpósio de Informática, Lisboa, Portugal.

Year 2010 : 2 citations

 Daniel Santos, Nuno Mamede and Jorge Baptista: Extraction of Family Relations between Entities. in Proc. of the INFORUM 2010, INFORUM 2010, Braga, Portugal, September 2010

 Daniel Tiago de Almeida Santos. "Extracção de Relações entre Entidades". Instituto Superior Técnico, Universidade Técnica de Lisboa 2010.