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Introducing the HIPE 2022 Shared Task: Named Entity Recognition and Linking in Multilingual Historical Documents
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In: Advances in Information Retrieval. 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10–14, 2022, Proceedings, Part II ; https://hal.archives-ouvertes.fr/hal-03635971 ; Matthias Hagen; Suzan Verberne; Craig Macdonald; Christin Seifert; Krisztian Balog; Kjetil Nørvåg; Vinay Setty. Advances in Information Retrieval. 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10–14, 2022, Proceedings, Part II, 13186, Springer International Publishing, pp.347-354, 2022, Lecture Notes in Computer Science, 978-3-030-99738-0. ⟨10.1007/978-3-030-99739-7_44⟩ (2022)
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| 2 |
Text Representations for Patent Classification
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In: http://wing.comp.nus.edu.sg/~antho/J/J13/J13-3009.pdf (2013)
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| 3 |
Constructing a broad coverage lexicon for text mining in the patent domain
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In: http://www.lrec-conf.org/proceedings/lrec2010/pdf/378_Paper.pdf (2010)
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| 4 |
Constructing a broad-coverage lexicon for text mining in the patent domain
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In: http://lands.let.kun.nl/literature/oostdijk.2010.4.pdf (2010)
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| 5 |
Quantifying the Challenges in Parsing Patent Claims
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In: http://lands.let.kun.nl/literature/sverbern.2010.1.pdf (2010)
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| 6 |
Evaluating paragraph retrieval for why-QA
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In: http://lands.let.kun.nl/literature/sverbern.2008.1.pdf (2008)
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| 7 |
Exploring the use of linguistic analysis for answering whyquestions
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In: http://lands.let.kun.nl/literature/sverbern.2006.3.pdf
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| 8 |
Using skipgrams and PoS-based feature selection for patent classification
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In: http://www.clinjournal.org/sites/default/files/4Dhondt2012_0.pdf
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| 9 |
Features for automatic discourse analysis of paragraphs
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In: http://lands.let.kun.nl/literature/daphne.2009.1.pdf
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| 10 |
Patent classification experiments with the Linguistic Classification System LCS
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In: http://clef2010.org/resources/proceedings/clef2010labs_submission_49.pdf
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| 11 |
How does the Library Searcher behave? A contrastive study of library search against ad-hoc search
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In: http://clef2010.org/resources/proceedings/clef2010labs_submission_42.pdf
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| 12 |
Information Foraging Lab
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In: http://ceur-ws.org/Vol-1177/CLEF2011wn-CLEF-IP-VerberneEt2011.pdf
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| 13 |
General Terms Design
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In: http://lands.let.kun.nl/literature/sverbern.2007.1.pdf
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| 14 |
Noname manuscript No. (will be inserted by the editor) Learning to Rank for Why-Question Answering
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In: http://lands.let.kun.nl/literature/sverbern.2011.1.pdf
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| 15 |
Phrase-based Document Categorization
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In: http://www.cs.kun.nl/%7Ekees/home/papers/PBDC-chapter.pdf
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| 16 |
Retrieval-based Question Answering for Machine Reading Evaluation
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In: http://ceur-ws.org/Vol-1177/CLEF2011wn-QA4MRE-Verberne2011.pdf
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| 17 |
Learning to Rank QA Data Evaluating Machine Learning Techniques for Ranking Answers to Why-Questions
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In: http://lands.let.kun.nl/literature/sverbern.2009.6.pdf
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