Title :
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
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;
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
DOI :
10.1109/HSI.2009.5090999