Core Techniques of Question Answering Systems over Knowledge Bases: a Survey - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Knowledge and Information Systems (KAIS) Année : 2017

Core Techniques of Question Answering Systems over Knowledge Bases: a Survey

Dennis Diefenbach
Vanessa Lopez
  • Fonction : Auteur
Kamal Singh
Pierre Maret

Résumé

The Semantic Web contains an enormous amount of information in the form of knowledge bases (KB). To make this information available, many question answering (QA) systems over KBs were created in the last years. Building a QA system over KBs is difficult because there are many different challenges to be solved. In order to address these challenges, QA systems generally combine techniques from natural language processing, information retrieval, machine learning and Semantic Web. The aim of this survey is to give an overview of the techniques used in current QA systems over KBs. We present the techniques used by the QA systems which were evaluated on a popular series of benchmarks: Question Answering over Linked Data (QALD). Techniques that solve the same task are first grouped together and then described. The advantages and disadvantages are discussed for each technique. This allows a direct comparison of similar techniques. Additionally, we point to techniques that are used over WebQuestions and Simple-Questions, which are two other popular benchmarks for QA systems.
Fichier principal
Vignette du fichier
KAIS_manuscript-13-3.pdf (1.55 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01637143 , version 1 (17-11-2017)

Identifiants

  • HAL Id : hal-01637143 , version 1

Citer

Dennis Diefenbach, Vanessa Lopez, Kamal Singh, Pierre Maret. Core Techniques of Question Answering Systems over Knowledge Bases: a Survey. Knowledge and Information Systems (KAIS), 2017. ⟨hal-01637143⟩
522 Consultations
3106 Téléchargements

Partager

Gmail Facebook X LinkedIn More