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Huo, W.: Automatic multi-word term extraction and its application to Web-page summarization (2012) 0.11

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Content: A Thesis presented to The University of Guelph In partial fulfilment of requirements for the degree of Master of Science in Computer Science. Vgl. Unter: http://www.inf.ufrgs.br%2F~ceramisch%2Fdownload_files%2Fpublications%2F2009%2Fp01.pdf.
Date: 10. 1.2013 19:22:47

Schöneberg, U.; Sperber, W.: POS tagging and its applications for mathematics (2014) 0.02

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Field: Mathematik
Object: Zentralblatt für Mathematik

Strube, M.: Kreativ durch Analogien (2011) 0.01
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Content

"Die Computerlinguistik vereinigt Elemente von Informatik und Linguistik; sie verwendet darüber hinaus Methoden aus weiteren Gebieten wie Mathematik, Psychologie, Statistik und künstliche Intelligenz. Der Reiz und die Herausforderung einer solchen interdisziplinären Wissenschaft liegen darin, Analogien zwischen Konzepten aus weit entfernten Teilgebieten zu erkennen und zu nutzen. Paradebeispiel dafür ist einer der entscheidenden Durchbrüche, welche die Computerlinguistik prägten. Es geht um das »Parsing«: Ein Computerprogramm, genauer gesagt ein Compiler, nimmt Zeichen für Zeichen den Input des Benutzers entgegen, der in diesem Fall seinerseits aus dem Text eines Computerprogramms besteht, und ermittelt dessen Struktur. Im Prinzip dasselbe tut ein Mensch, der einen gesprochenen Satz hört und versteht."

Stoykova, V.; Petkova, E.: Automatic extraction of mathematical terms for precalculus (2012) 0.01

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Field: Mathematik

Lezius, W.: Morphy - Morphologie und Tagging für das Deutsche (2013) 0.01

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Date: 22. 3.2015 9:30:24

Lawrie, D.; Mayfield, J.; McNamee, P.; Oard, P.W.: Cross-language person-entity linking from 20 languages (2015) 0.00
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Abstract

The goal of entity linking is to associate references to an entity that is found in unstructured natural language content to an authoritative inventory of known entities. This article describes the construction of 6 test collections for cross-language person-entity linking that together span 22 languages. Fully automated components were used together with 2 crowdsourced validation stages to affordably generate ground-truth annotations with an accuracy comparable to that of a completely manual process. The resulting test collections each contain between 642 (Arabic) and 2,361 (Romanian) person references in non-English texts for which the correct resolution in English Wikipedia is known, plus a similar number of references for which no correct resolution into English Wikipedia is believed to exist. Fully automated cross-language person-name linking experiments with 20 non-English languages yielded a resolution accuracy of between 0.84 (Serbian) and 0.98 (Romanian), which compares favorably with previously reported cross-language entity linking results for Spanish.

Fóris, A.: Network theory and terminology (2013) 0.00

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Date: 2. 9.2014 21:22:48

Rötzer, F.: KI-Programm besser als Menschen im Verständnis natürlicher Sprache (2018) 0.00

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Date: 22. 1.2018 11:32:44

Deventer, J.P. van; Kruger, C.J.; Johnson, R.D.: Delineating knowledge management through lexical analysis : a retrospective (2015) 0.00

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Date: 20. 1.2015 18:30:22

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