HAWK@QALD5 - Trying to answer hybrid questions with various simple ranking techniques
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
Authors
The growing amount of data available in the Document Web as well as in the Linked Data Web has lead to an information gap. Information needed to answer complex questions might often require full-text data as well as Linked Data. Thus, HAWK combines unstructured and structured data sources. In this article, we introduce HAWK, a novel entity search approach for hybrid question answering based on combining Linked Data and textual data. In this article, we compare three ranking mechanism and evaluate their performance on the QALD-5 challenge. Finally, we identify the weak points of our current version of HAWK and give directions for future development.
| Original language | English |
|---|---|
| Title of host publication | CLEF 2015 : Working Notes of CLEF 2015 - Conference and Labs of the Evaluation forum Toulouse, France, September 8-11, 2015. |
| Editors | Linda Cappellato, Nicola Ferro, Gareth J. F. Jones, Eric San Juan |
| Number of pages | 7 |
| Volume | 1391 |
| Publisher | Sun Site Central Europe (RWTH Aachen University) |
| Publication date | 09.2015 |
| Pages | 1-7 |
| Article number | 69 |
| Publication status | Published - 09.2015 |
| Externally published | Yes |
| Event | 16th Conference and Labs of the Evaluation Forum, CLEF 2015 - Toulouse, France Duration: 08.09.2015 → 11.09.2015 Conference number: 16 http://clef2015.clef-initiative.eu/cfp.php |
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