Question Answering over Linked Data (QALD-4)
نویسندگان
چکیده
1 CITEC, Bielefeld University, Germany [email protected] [email protected] [email protected] 2 Alexandru Ioan Cuza University of Iasi, Romania [email protected] 3 IBM Research, Dublin, Ireland [email protected] 4 AKSW, University of Leipzig, Germany [email protected] 5 INRIA Sophia-Antipolis Méditerrané, Cedex, France [email protected]
منابع مشابه
QALD-3: Multilingual Question Answering over Linked Data
The third edition of the open challenge on Question Answering over Linked Data (QALD-3) has put a strong emphasis on multilinguality. This paper provides an overview of the first task, focusing on multilingual question answering, which attracted six teams to submit results.
متن کاملMultilingual Question Answering over Linked Data (QALD-3): Lab Overview
The third instalment of the open challenge on Question Answering over Linked Data (QALD-3) has been conducted as a half-day lab at CLEF2013. Di↵erently from previous editions of the challenge, QALD-3 put a strong emphasis on multilinguality, o↵ering two tasks: one on multilingual question answering and one on ontology lexicalization. While no submissions were received for the latter, the former...
متن کاملQuestion Answering Over Linked Data: What is Difficult to Answer? What Affects the F scores?
We present a fine-grained analysis of the Question Answering over Linked Data (QALD-6) challenge. We divide the QALD-6 questions into 8 main categories and compare state-of-the-art questions answering (QA) systems over Linked Data against the individual categories. We show the difficulty (in terms of overall F scores of the QA systems) of each category. We show the effect of various natural lan...
متن کامل7th Open Challenge on Question Answering over Linked Data (QALD-7)
The past years have seen a growing amount of research on question answering (QA) over Semantic Web data, shaping an interaction paradigm that allows end users to profit from the expressive power of Semantic Web standards while, at the same time, hiding their complexity behind an intuitive and easy-to-use interface. On the other hand, the growing amount of data has led to a heterogeneous data la...
متن کاملCASIA@V2: A MLN-based Question Answering System over Linked Data
We present a question answering system (CASIA@V2) over Linked Data (DBpedia), which translates natural language questions into structured queries automatically. Existing systems usually adopt a pipeline framework, which contains four major steps: 1) Decomposing the question and detecting candidate phrases; 2) mapping the detected phrases into semantic items of Linked Data; 3) grouping the mappe...
متن کاملGFMed: Question Answering over BioMedical Linked Data with Grammatical Framework
This paper reports on the participation of the system GFMed in QALD-4 question answering challenge for Biomedical interlinked data. GFMed introduces grammars for a controlled natural language targeted towards biomedical information and the corresponding controlled SPARQL language. The grammars are described in Grammatical Framework and introduce linguistic and SPARQL phrases mostly about drugs,...
متن کامل