| Sven Hartrumpf|
(Alternative names for this author)
|Co-authors||Diana Santos, Glockner I., Iustin Dornescu, Johannes Leveling, Nuno Cardoso, Paula Carvalho, Yvonne Skalban|
|Authorship||Publications (4), datasets (0), tools (0)|
|Citations||Total (0), average (0), median (0), max (0), min (0)|
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Sven Hartrumpf is an author.
PublicationsOnly those publications related to wikis are shown here.
|Title||Keyword(s)||Published in||Language||DateThis property is a special property in this wiki.||Abstract||R||C|
|Recursive question decomposition for answering complex geographic questions||Lecture Notes in Computer Science||English||2010||This paper describes the GIRSA-WP system and the experiments performed for GikiCLEF 2009, the geographic information retrieval task in the question answering track at CLEF 2009. Three runs were submitted. The first one contained only results from the InSicht QA system; it showed high precision, but low recall. The combination with results from the GIR system GIRSA increased recall considerably, but reduced precision. The second run used a standard IR query, while the third run combined such queries with a Boolean query with selected keywords. The evaluation showed that the third run achieved significantly higher mean average precision (MAP) than the second run. In both cases, integrating GIR methods and QA methods was successful in combining their strengths (high precision of deep QA, high recall of GIR), resulting in the third-best performance of automatic runs in GikiCLEF. The overall performance still leaves room for improvements. For example, the multilingual approach is too simple. All processing is done in only one Wikipedia (the German one); results for the nine other languages are collected by following the translation links in Wikipedia.||0||0|
|GikiP at GeoCLEF 2008: joining GIR and QA forces for querying Wikipedia||CLEF||English||2009||0||0|
|GikiP at geoCLEF 2008: Joining GIR and QA forces for querying wikipedia||Lecture Notes in Computer Science||English||2009||This paper reports on the GikiP pilot that took place in 2008 in GeoCLEF. This pilot task requires a combination of methods from geographical information retrieval and question answering to answer queries to the Wikipedia. We start by the task description, providing details on topic choice and evaluation measures. Then we offer a brief motivation from several perspectives, and we present results in detail. A comparison of participants' approaches is then presented, and the paper concludes with improvements for the next edition.||0||0|
|Coreference resolution for questions and answer merging by validation||Lecture Notes in Computer Science||English||2008||For its fourth participation at QA@CLEF, the German question answering (QA) system InSicht was improved for CLEF 2007 in the following main areas: questions containing pronominal or nominal anaphors are treated by a coreference resolver; the shallow QA methods are improved; and a specialized module is added for answer merging. Results showed a performance drop compared to last year mainly due to problems in handling the newly added Wikipedia corpus. However, dialog treatment by coreference resolution delivered very accurate results so that follow-up questions can be handled similarly to isolated questions.||0||0|