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

被引：0

作者：

Boldrini, E. ^{[1
]}

Ferrandez, S. ^{[1
]}

Izquierdo, R. ^{[1
]}

Ferrandez O., Tomas D. ^{[1
]}

Vicedo, J. L. ^{[1
]}

机构：

[1] Univ Alicante, Nat Language Proc & Informat Syst Grp, Dept Software & Comp Syst, E-03080 Alicante, Spain

来源：

HSI: 2009 2ND CONFERENCE ON HUMAN SYSTEM INTERACTIONS | 2009年

关键词：

Corpus Annotation; Expected Answer Type; Machine Learning; Name Entity Recognition; Question Answering;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：315 / 319

页数：5

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