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Communication Dans Un Congrès Année : 2018

A Corpus for Hybrid Question Answering Systems

Résumé

Question answering has been the focus of a lot of researches and evaluation campaigns, either for text-based systems (TREC and CLEF evaluation campaigns for example), or for knowledge-based systems (QALD, BioASQ). Few systems have effectively combined both types of resources and methods in order to exploit the fruitful- ness of merging the two kinds of information repositories. The only evaluation QA track that focuses on hybrid QA is QALD since 2014. As it is a recent task, few annotated data are available (around 150 questions). In this paper, we present a question answering dataset that was constructed to develop and evaluate hybrid question an- swering systems. In order to create this corpus, we collected several textual corpora and augmented them with entities and relations of a knowledge base by retrieving paths in the knowledge base which allow to answer the questions. The resulting corpus contains 4300 question-answer pairs and 1600 have a true link with DBpedia.
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Dates et versions

hal-02284465 , version 1 (11-09-2019)

Identifiants

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Brigitte Grau, Anne-Laure Ligozat. A Corpus for Hybrid Question Answering Systems. Workshop on Hybrid Question Answering with Structured and Unstructured Knowledge, Apr 2018, Lyon - FR, France. pp.1081-1086, ⟨10.1145/3184558.3191540⟩. ⟨hal-02284465⟩
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