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Language Models Explain Word Reading Times Better Than Empirical Predictability ...
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Language Models Explain Word Reading Times Better Than Empirical Predictability
In: Front Artif Intell (2022)
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WebAnno-MM: EXMARaLDA meets WebAnno
Remus, Steffen [Verfasser]; Hedeland, Hanna [Verfasser]; Ferger, Anne [Verfasser]. - Mannheim : Leibniz-Institut für Deutsche Sprache (IDS), Bibliothek, 2020
DNB Subject Category Language
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Word Sense Disambiguation for 158 Languages using Word Embeddings Only ...
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TAXI at SemEval-2016 Task 13: a taxonomy induction method based on lexico-syntactic patterns, substrings and focused crawling
Fairon, Cédrick; Faralli, Stefano; Panchenko, Alexander. - : Association for Computational Linguistics, 2016
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Knowledge Discovery in Scientific Literature
Nam, Jinseok Mitwirkender]. - Hildesheim : Universitätsbibliothek Hildesheim, 2014
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7
Knowledge Discovery in Scientific Literature
Abstract: Digital libraries allow us to organize a vast amount of publications in a structured way and to extract information of user’s interest. In order to support customized use of digital libraries, we develop novel methods and techniques in the Knowledge Discovery in Scientific Literature (KDSL) research program of our graduate school. It comprises several sub-projects to handle specific problems in their own fields. The sub-projects are tightly connected by sharing expertise to arrive at an integrated system. To make consistent progress towards enriching digital libraries to aid users by automatic search and analysis engines, all methods developed in the program are applied to the same set of freely available scientific articles.
Keyword: ddc:400; Digital Humanities
URL: https://hildok.bsz-bw.de/frontdoor/index/index/docId/249
https://hildok.bsz-bw.de/files/249/p016.pdf
https://nbn-resolving.org/urn:nbn:de:gbv:hil2-opus-2691
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WebAnno-MM: EXMARaLDA meets WebAnno [Online resource]
IDS-Repository
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