A proposal of Expected Answer Type and Named Entity annotation in a Question Answering context

Author

Boldrini, E. ; Ferrández, S. ; Izquierdo, R. ; Tomás, O. ; Ferrandez, O. ; Vicedo, J.L.

Author_Institution

Dept. of Software & Comput. Syst., Univ. of Alicante, Alicante

fYear

2009

fDate

21-23 May 2009

Firstpage

318

Lastpage

322

Abstract

This paper presents our research related to automatic expected answer type and named entity annotation tasks in a question answering context. We present the initial step of our research, in which we created the annotation guidelines. We therefore show and justify the tag set employed in the annotation of a collection of questions, and finally, different evaluations in order to test the consistency of the labelled corpus are also presented.

Keywords

information retrieval; information retrieval systems; learning (artificial intelligence); EAT classification; expected answer type; machine learning; named entity annotation; question answering context; question answering system; Government; Guidelines; Information systems; Natural language processing; Natural languages; Ontologies; Physics; Proposals; Software systems; Testing; Corpus Annotation; Expected Answer Type; Machine Learning; Name Entity Recognition; Question Answering;

fLanguage

English

Publisher

ieee

Conference_Titel

Human System Interactions, 2009. HSI '09. 2nd Conference on

Conference_Location

Catania

Print_ISBN

978-1-4244-3959-1

Electronic_ISBN

978-1-4244-3960-7

Type

conf

DOI

10.1109/HSI.2009.5090999

Filename

5090999