%0 Book Section %1 SacaleanuNeumannSpurk08CLEF %A Sacaleanu, Bogdan %A Neumann, Günter %A Spurk, Christian %B Evaluating Systems for Multilingual and Multimodal Information Access: 9th Workshop of the Cross-Language Evaluation Forum, CLEF 2008, Aarhus, Denmark %C Berlin %D 2009 %E Peters, Carol %E Deselaers, Thomas %E Ferro, Nicola %E Gonzalo, Julio %E Jones, Gareth J.F. %E Kurimo, Mikko %E Mandl, Thomas %E Pe\ nas, Anselmo %E Petras, Vivien %I Springer %K 01624 springer paper ai language processing information retrieval answer %P 429--437 %R 10.1007/978-3-642-04447-2_50 %T DFKI-LT at QA@CLEF 2008 %V 5706 %X The paper describes QUANTICO, a cross-language open domain factoid question answering system for German and English document collections. The main features of the system are: use of preemptive off-line document annotation with information like Named Entities, abbreviation-extension pairs and appositional constructions; use of online translation services for the cross-language scenarios; use of redundancy as an indicator of good answer candidates; selection of the best answers based on distance metrics defined over graph representations. The results of evaluating the system's performance by QA@CLEF 2008 were as follows: for the German-German run we achieved a best overall accuracy (ACC) of 37 percent; for the English-German run 14.5 percent (ACC); and for the German-English run 14 percent (ACC). %@ 978-3-642-04446-5

@incollection{SacaleanuNeumannSpurk08CLEF, abstract = {The paper describes QUANTICO, a cross-language open domain factoid question answering system for German and English document collections. The main features of the system are: use of preemptive off-line document annotation with information like Named Entities, abbreviation-extension pairs and appositional constructions; use of online translation services for the cross-language scenarios; use of redundancy as an indicator of good answer candidates; selection of the best answers based on distance metrics defined over graph representations. The results of evaluating the system's performance by QA@CLEF 2008 were as follows: for the German-German run we achieved a best overall accuracy (ACC) of 37 percent; for the English-German run 14.5 percent (ACC); and for the German-English run 14 percent (ACC).}, added-at = {2017-04-02T12:26:30.000+0200}, address = {Berlin}, author = {Sacaleanu, Bogdan and Neumann, G\"{u}nter and Spurk, Christian}, biburl = {https://www.bibsonomy.org/bibtex/2b20bea2667d6def9585e3f47d5f8600a/flint63}, booktitle = {Evaluating Systems for Multilingual and Multimodal Information Access: 9th Workshop of the Cross-Language Evaluation Forum, CLEF 2008, Aarhus, Denmark}, crossref = {CLEF2008}, doi = {10.1007/978-3-642-04447-2_50}, editor = {Peters, Carol and Deselaers, Thomas and Ferro, Nicola and Gonzalo, Julio and Jones, Gareth J.F. and Kurimo, Mikko and Mandl, Thomas and Pe\ {n}as, Anselmo and Petras, Vivien}, file = {SpringerLink:2008/SacaleanuNeumannSpurk08CLEF.pdf:PDF}, groups = {public}, interhash = {b2d388e118a48049f4646c7a442721e7}, intrahash = {32509724fb1ba3ac5e9759ddcd1745ed}, isbn = {978-3-642-04446-5}, issn = {0302-9743}, keywords = {01624 springer paper ai language processing information retrieval answer}, pages = {429--437}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, timestamp = {2017-07-13T17:15:17.000+0200}, title = {{DFKI-LT at QA@CLEF 2008}}, username = {flint63}, volume = 5706, year = 2009 }