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G.J.F.: DCU@FIRE 2012: Rule-based stemmers for Bengali and Hindi
In: http://doras.dcu.ie/20363/1/MET_CNGL.pdf (2012)
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2
V.: Identifying common user behaviour in multilingual search logs
In: http://doras.dcu.ie/16037/1/Identifying_Common_User_Behaviour_in.pdf (2010)
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3
Logical validation, answer merging and witness selection: A study in multi-stream question answering
In: http://pi7.fernuni-hagen.de/papers/gloeckner_hartrumpf_etal07.pdf (2007)
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University of Hagen at QA@CLEF 2007: Coreference Resolution for Questions and Answer Merging
In: http://www.clef-campaign.org/2007/working_notes/hartrumpfCLEF2007.pdf (2007)
Abstract: The German question answering (QA) system InSicht participated in QA@CLEF for the fourth time. InSicht realizes a deep QA approach: it builds on full sentence parses, rulebased inferences on semantic representations, and matching semantic representations derived from questions and document sentences. InSicht was improved for QA@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 finally, our system for the CLEF Answer Validation Exercise is employed for answer merging. Results showed a performance drop compared to last year mainly due to unstable and incomplete handling of the newly added Wikipedia corpus. However, dialog treatment by coreference resolution delivered very accurate results so that follow-up questions can be handled similar to isolated questions.
Keyword: Answer merging; Content Analysis and Indexing—Linguistic processing H.3.3 [Information Storage and Retrieval; Coreference resolution; Deep semantic processing of questions and documents; Follow-up questions; H.3.1 [Information Storage and Retrieval; Information Search and Retrieval—Search process H.3.4 [Information Storage and Retrieval; Knowledge Representation Formalisms and Methods—Semantic networks I.2.7 [Artificial Intelligence; Measurement; Natural Language Processing—Language parsing and understanding General Terms Experimentation; Performance Keywords Question answering; Systems and Software—Performance evaluation I.2.4 [Artificial Intelligence
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.77.479
http://www.clef-campaign.org/2007/working_notes/hartrumpfCLEF2007.pdf
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5
Logical Validation, Answer Merging and Witness Selection A Study in Multi-Stream Question Answering
In: http://riao.free.fr/papers/65.pdf (2007)
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6
The Readability Checker Delite
In: http://pi7.fernuni-hagen.de/brueck/papers/DeLite_techreport.pdf
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7
Multilingual Log Analysis: LogCLEF
In: http://ebooks.narotama.ac.id/files/Advances%20in%20Information%20Retrieval%3B%2033rd%20ECIR%202011/Chapter%2068%20Multilingual%20Log%20Analysis%3B%20LogCLEF.pdf
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8
A comparison of sub-word indexing methods for information retrieval
In: http://doras.dcu.ie/16446/1/A_comparison_of_sub-word_indexing_methods_for_information_retrieval.pdf
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9
Multilingual Adaptive Search for Digital Libraries
In: http://www.cngl.ie/drupal/sites/default/files/papers3/ghorab_et_al_TPDL2011_CR.pdf
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10
Identifying Common User Behaviour in Multilingual Search Logs
In: http://www.cngl.ie/drupal/sites/default/files/papers3/Final%20Camera%20Ready%20Paper%20by%20LNCS.pdf
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11
1 Personalised Multilingual Hypertext Retrieval: An Overview
In: http://doras.dcu.ie/16442/1/Personalised_Multilingual_Hypertext_Retrieval_An_Overview.pdf
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12
Document Expansion, Query Translation and Language Modeling
In: http://www.clef-campaign.org/2009/working_notes/leveling-paperCLEF2009.pdf
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13
University of Hagen (FernUniversität in Hagen)
In: http://doras.dcu.ie/16034/1/Recursive_Question_Decomposition_for.pdf
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14
HITS and Misses: Combining BM25 with HITS for Expert Search
In: http://clef2010.org/resources/proceedings/clef2010labs_submission_47.pdf
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15
Multilingual Adaptive Search for Digital Libraries
In: http://doras.dcu.ie/16499/1/Multilingual_Adaptive_Search_for_Digital_Libraries.pdf
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16
Multilingual Log Analysis: LogCLEF
In: http://doras.dcu.ie/16438/1/Multilingual_Log_Analysis_LogCLEF.pdf
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17
Document expansion for text-based image retrieval at CLEF 2009
In: http://clef2010.org/resources/proceedings/clef2010labs_submission_71.pdf
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18
Document Expansion, Query Translation and Language Modeling for Ad-hoc IR
In: http://doras.dcu.ie/16031/1/Document_Expansion,_Query_Translation_and.pdf
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19
DCU’s Experiments for the NTCIR-8 IR4QA Task
In: http://www.computing.dcu.ie/~away/PUBS/2010/ntcir8-ir4qa-dcu.pdf
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20
Efficient question answering with question decomposition and multiple answer streams
In: http://pi7.fernuni-hagen.de/gloeckner/clef08-fuha-wn.pdf
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