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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
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In: Front Artif Intell (2022)
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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
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Knowledge Discovery in Scientific Literature
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Nam, Jinseok; Kirschner, Christian; Ma, Zheng; Erbs, Nicolai; Neumann, Susanne; Oelke, Daniela; Remus, Steffen; Biemann, Chris; Eckle-Kohler, Judith; Fürnkranz, Johannes; Gurevych, Iryna; Rittberger, Marc; Weihe, Karsten. - 2014
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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.
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Keyword:
ddc:400; Digital Humanities
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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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