QA Extension for Xtrieval: Contribution to the QAst track
Jens Kürsten, Holger Kundisch, Maximilian Eibl · CLEF (Working Notes) · 2008
This article describes our rst participation at the QAst task of the CLEF campaign 2008. We submitted 4 experiments in total, two for each subtask t1 and t4. These subtasks employed manual speech transcription collections. We used the Stanford Named Entity Recognizer for tagging named entities and the CRFTagger - Conditional Random Fields Part-of-Speech (POS) Tagger for English. The passage retrieval was done with the Xtrieval framework and its Apache Lucene implementation. For the classication of the question hand-crafted patterns were implemented. Our experiments achieved an accuracy of about 20%. The rate of returned NIL answers was too high for all of our experiments.