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1
Google and advertising: digital capitalism in the context of Post-Fordism, the reification of language, and the rise of fake news
Graham, Richard. - : Palgrave Macmillan, 2017
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2
A dataset for open event extraction in English
In: 10th International Conference on Language Resources and Evaluation, LREC 2016 ; https://hal-cea.archives-ouvertes.fr/cea-01843179 ; 10th International Conference on Language Resources and Evaluation, LREC 2016, May 2016, Portoroz, Slovenia. pp.1939-1943 (2016)
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3
Analysing entity context in multilingual wikipedia to support entity-centric retrieval applications ...
Zhou, Yiwei; Demidova, Elena; Cristea, Alexandra I.. - : Heidelberg : Springer Verlag, 2015
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4
Building specialized bilingual lexicons using large-scale background knowledge
In: 2013 Conference on Empirical Methods in Natural Language Processing, EMNLP 2013 ; https://hal-cea.archives-ouvertes.fr/cea-01844695 ; 2013 Conference on Empirical Methods in Natural Language Processing, EMNLP 2013, Oct 2013, Seattle, United States. pp.479-489 (2013)
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5
Multilingual User Modeling for Personalized Re-ranking of Multilingual Web Search Results ; 20th Conference on User Modeling, Adaptation, and Personalization (UMAP 2012
WADE, VINCENT. - 2012
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6
On the voice-activated question answering
Hurtado Oliver, Lluis Felip; Sanchís Arnal, Emilio; Rosso, Paolo. - : Institute of Electrical and Electronics Engineers (IEEE), 2012
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7
Google-based Information Extraction
In: http://www.dse.nl/~gijsg/GeleijnseKorstDIR.pdf
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8
Google-based Information Extraction
In: http://www.dse.nl/~gijsg/DIR-Geleijnse.pdf
Abstract: We discuss a method to extract information from text fragments found with a search engine. We populate an ontology using handcrafted domain-specific relation patterns and a class-dependent rules to recognize instances of the classes. The algorithm uses the instances for one class found in the Google excerpts to find instances of other classes. The work is illustrated by two case studies. The first involves the population of an ontology in the movie domain. The second is a search for famous people and the collection of their biographical entries such as nationality and profession.
Keyword: Categories and Subject Descriptors H.3.1 [Content Analysis and Indexing; H.3.3 [Information Search and Retrieval; Linguistic Processing; Query formulation General Terms Information extraction; Search engines; World Wide Web
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.60.3539
http://www.dse.nl/~gijsg/DIR-Geleijnse.pdf
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9
Google-based Information Extraction Finding John Lennon and Being John Malkovich
In: http://semanticsarchive.net/Archive/Tk1ZDgzZ/GeleijnseKorstPronkDIR2006.pdf
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