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Integrating methods from IR and QA for geographic information retrieval

Leveling, Johannes and Hartrumpf, Sven (2009) Integrating methods from IR and QA for geographic information retrieval. In: Evaluating Systems for Multilingual and Multimodal Information Access: 9th Workshop of the Cross-Language Evaluation Forum, CLEF 2008, 17-19 Sept 2009, Aarhus, Denmark.

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Abstract

This paper describes the participation of GIRSA at Geo- CLEF 2008, the geographic information retrieval task at CLEF. GIRSA combines information retrieval (IR) on geographically annotated data and question answering (QA) employing query decomposition. For the monolingual German experiments, several parameter settings were varied: using a single index or separate indexes for content and geographic annotation, using complex term weighting, adding location names from the topic narrative, and merging results from IR and QA, which yields the highest mean average precision (0.2608 MAP). For bilingual experiments, English and Portuguese topics were translated via the web services Applied Language Solutions, Google Translate, and Promt Online Translator. For both source languages, Google Translate seems to return the best translations. For English (Portuguese) topics, 60.2% (80.0%) of the maximum MAP for monolingual German experiments, or 0.1571 MAP (0.2085 MAP), is achieved. As a post-ocial experiment, translations of English topics were analysed with a parser. The results were employed to select the best translation for topic titles and descriptions. The corresponding retrieval experiment achieved 69.7% of the MAP of the best monolingual experiment.

Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:Yes
Uncontrolled Keywords:question answering; QA; GIRSA; geographic information retrieval; Semantic Annotation
Subjects:Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Next Generation Localisation (CNGL)
Published in:Evaluating Systems for Multilingual and Multimodal Information Access. Lecture Notes in Computer Science 5706. Springer-Verlag.
Publisher:Springer-Verlag
Official URL:http://www.springerlink.com/content/n3822735k524126t/
Copyright Information:© 2009 Springer-Verlag. The original publication is available at www.springerlink.com
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:16444
Deposited On:25 Jul 2011 12:06 by Shane Harper. Last Modified 25 Jul 2011 12:06

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