TY  - BOOK
AB  - Question answering systems provide easy access to structured data, in particular RDF data. However, the user experience is often negatively affected by questions that are not interpreted correctly. To remedy this, we present a new guided approach to QA that ensures that all questions that can be entered into the system also return a corresponding answer. For this, a template-based approach is used to generate all possible questions from a given RDF dataset using a number of templates. The question/answer pairs can then be indexed to provide autocompletion functionality at querying time. We describe the architecture and approach and present preliminary evaluation results.
DA  - 2018
KW  - Template based QA
KW  - QALD
KW  - Knowledge Graph
LA  - eng
PY  - 2018
TI  - A Guided Template-Based Question Answering System over Knowledge Graphs
UR  - https://nbn-resolving.org/urn:nbn:de:0070-pub-29323392
Y2  - 2024-11-22T03:11:51
ER  -