Zobrazeno 1 - 10 of 30 pro vyhledávání: '"Trieschnigg, Rudolf Berend"'
1
Supporting the Exploration of Online Cultural Heritage Collections: The Case of the Dutch Folktale Database
Autor: Muiser, Iwe, Theune, Mariet, Jong, de, Ruud, Smink, Nigel, Trieschnigg, Rudolf Berend, Hiemstra, Djoerd, Meder, Theo
Publikováno v: Digital humanities quarterly, 11(4). Alliance of Digital Humanities Organisations
This paper demonstrates the use of a user-centred design approach for the development of generous interfaces/rich prospect browsers for an online cultural heritage collection, determining its primary user groups and designing different browsing tools
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::c44512a00c22854542b448b9dcdb5182
https://research.utwente.nl/en/publications/supporting-the-exploration-of-online-cultural-heritage-collections(cf589138-d9de-49f7-95de-6dfd6e28a6bd).html
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2
Resource Selection for Federated Search on the Web
Autor: Nguyen, Dong-Phuong, Demeester, Thomas, Trieschnigg, Rudolf Berend, Hiemstra, Djoerd
A publicly available dataset for federated search reflecting a real web environment has long been bsent, making it difficult for researchers to test the validity of their federated search algorithms for the web setting. We present several experiments
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::9c889a797e676ffdb710c573bbbdef64
https://research.utwente.nl/en/publications/resource-selection-for-federated-search-on-the-web(f07d3242-a87c-4bf6-b1b1-e0a6d18bfa11).html
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3
Audience and the Use of Minority Languages on Twitter
Autor: Nguyen, Dong-Phuong, Trieschnigg, Rudolf Berend, Cornips, Leonie
Publikováno v: Proceedings of the Ninth International AAAI Conference on Web and Social Media, ICWSM 2015, 666-669
STARTPAGE=666;ENDPAGE=669;TITLE=Proceedings of the Ninth International AAAI Conference on Web and Social Media, ICWSM 2015
On Twitter, many users tweet in more than one language. In this study, we examine the use of two Dutch minority languages. Users can engage with different audiences and by analyzing different types of tweets, we find that characteristics of the audie
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::6d328ad7d1ef07904de33e840066606d
https://research.utwente.nl/en/publications/07df70d6-1ce1-4f4c-b7c6-ef67272558b5
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4
TweetGenie: Development, Evaluation, and Lessons Learned
Autor: Nguyen, Dong-Phuong, Trieschnigg, Rudolf Berend, Meder, Theo
Publikováno v: Proceedings of the 25th International Conference on Computational Linguistics, COLING 2014, 62-66
STARTPAGE=62;ENDPAGE=66;TITLE=Proceedings of the 25th International Conference on Computational Linguistics, COLING 2014
TweetGenie is an online demo that infers the gender and age of Twitter users based on their tweets. TweetGenie was able to attract thousands of visitors. We collected data by asking feedback from visitors and launching an online game. In this paper,
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::63785b03cdd3c5e4819e45a539421d75
https://research.utwente.nl/en/publications/72204aac-384c-445b-9e09-4369991d52fb
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5
Learning to extract folktale keywords
Autor: Trieschnigg, Rudolf Berend, Nguyen, Dong-Phuong, Theune, Mariet, Lendvai, P., Zervanou, K.
Publikováno v: Proceedings of the 7th Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH 2013), 65-73
STARTPAGE=65;ENDPAGE=73;TITLE=Proceedings of the 7th Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH 2013)
Manually assigned keywords provide a valuable means for accessing large document collections. They can serve as a shallow document summary and enable more efficient retrieval and aggregation of information. In this paper we investigate keywords in th
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::3280d11a1ecc356631fb3fd4e34fbf11
https://research.utwente.nl/en/publications/c52df665-8fa4-41b6-b36f-1fbed3d0edd8
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6
Automatic classification of folk narrative genres
Autor: Nguyen, Dong-Phuong, Trieschnigg, Rudolf Berend, Meder, Theo, Theune, Mariet, Jancsary, J.
Publikováno v: Proceedings of the 11th Conference on Natural Language Processing, KONVENS 2012 (LThist 2012 workshop), 378-382
STARTPAGE=378;ENDPAGE=382;TITLE=Proceedings of the 11th Conference on Natural Language Processing, KONVENS 2012 (LThist 2012 workshop)
Folk narratives are a valuable resource for humanities and social science researchers. This paper focuses on automatically recognizing folk narrative genres, such as urban legends, fairy tales, jokes and riddles. We explore the effectiveness of lexic
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::b7836663e5f97294cf18ff30a1196ce3
https://research.utwente.nl/en/publications/8b5bfa1f-eec0-4df9-a519-c1fb182e31ca
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7
An exploration of language identification techniques for the Dutch folktale database
Autor: Trieschnigg, Rudolf Berend, Hiemstra, Djoerd, Theune, Mariet, de Jong, Franciska M.G., Meder, Theo, Osenova, P., Piperidis, S., Slavcheva, M., Vertan, C.
Publikováno v: Proceedings of the Workshop on Adaptation of Language Resources and Tools for Processing Cultural Heritage (LREC 2012), 47-51
STARTPAGE=47;ENDPAGE=51;TITLE=Proceedings of the Workshop on Adaptation of Language Resources and Tools for Processing Cultural Heritage (LREC 2012)
The Dutch Folktale Database contains fairy tales, traditional legends, urban legends, and jokes written in a large variety and combination of languages including (Middle and 17th century) Dutch, Frisian and a number of Dutch dialects. In this work we
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::c325186727c74d28234c2ad011941b2c
https://research.utwente.nl/en/publications/an-exploration-of-language-identification-techniques-for-the-dutch-folktale-database(20baf405-d3bc-46c2-8675-8b81298a5a7e).html
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8
Ranking XPaths for extracting search result records
Autor: Trieschnigg, Rudolf Berend, Tjin-Kam-Jet, Kien, Hiemstra, Djoerd
Extracting search result records (SRRs) from webpages is useful for building an aggregated search engine which combines search results from a variety of search engines. Most automatic approaches to search result extraction are not portable: the compl
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::120c2608fd068b8566b0c0b4f2b02e65
https://research.utwente.nl/en/publications/ranking-xpaths-for-extracting-search-result-records(71843fb5-2f11-4950-9d20-d946702326cc).html
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9
Improved cyberbullying detection using gender information
Autor: Dadvar, M., de Jong, Franciska M.G., Ordelman, Roeland J.F., Trieschnigg, Rudolf Berend
Publikováno v: Proceedings of the Twelfth Dutch-Belgian Information Retrieval Workshop (DIR 2012), 23-25
STARTPAGE=23;ENDPAGE=25;TITLE=Proceedings of the Twelfth Dutch-Belgian Information Retrieval Workshop (DIR 2012)
As a result of the invention of social networks, friendships, relationships and social communication are all undergoing changes and new definitions seem to be applicable. One may have hundreds of ‘friends’ without even seeing their faces. Meanwhi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::812ae0d4f015ad033d50fc15623b4176
https://research.utwente.nl/en/publications/improved-cyberbullying-detection-using-gender-information(af923d24-e041-439a-ab3a-7fd01c3a7d55).html
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10
What snippets say about pages in federated web search
Autor: Demeester, Thomas, Nguyen, Dong-Phuong, Trieschnigg, Rudolf Berend, Develder, Chris, Hiemstra, Djoerd, Hou, Yuexian, Nie, Jian-Yun, Sun, Le, Wang, Bo, Zhang, Peng
Publikováno v: LECTURE NOTES IN COMPUTER SCIENCE
Proceedings of the 8th Asia Information Retrieval Societies Conference (AIRS 2012), 250-261
STARTPAGE=250;ENDPAGE=261;TITLE=Proceedings of the 8th Asia Information Retrieval Societies Conference (AIRS 2012)
Information Retrieval Technology ISBN: 9783642353406
AIRS
Ghent University Academic Bibliography
What is the likelihood that a Web page is considered relevant to a query, given the relevance assessment of the corresponding snippet? Using a new federated IR test collection that contains search results from over a hundred search engines on the int
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b974ca3bd716717f489bbc2567c4188d
https://biblio.ugent.be/publication/3240111/file/3240152
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