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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 37 1 Preparing Legal Documents for NLP Analysis: Improving the Classification of Text Elements by Using Page Features Josi, Frieda; Wartena, Christian (Prof. Dr.); Heid, Ulrich. - : AIRCC Publishing Corporation, 2022. : Hannover : Hochschule Hannover, 2022 BASE Show details 2 Verbal Idioms: Concrete Nouns in Abstract Contexts ... Charbonnier, Jean; Wartena, Christian. - : Hochschule Hannover, 2021 BASE Show details 3 Sentiment Independent Topic Detection in Rated Hospital Reviews ... Wartena, Christian; Sander, Uwe; Patzelt, Christiane. - : Association for Computational Linguistics, 2021 BASE Show details 4 Extending Linear Indexed Grammars ... Wartena, Christian. - : Association for Computational Linguistics, 2021 BASE Show details 5 Verbal Idioms: Concrete Nouns in Abstract Contexts ... Charbonnier, Jean; Wartena, Christian. - : Zenodo, 2021 BASE Show details 6 Verbal Idioms: Concrete Nouns in Abstract Contexts ... Charbonnier, Jean; Wartena, Christian. - : Zenodo, 2021 BASE Show details 7 Representing Standard Text Formulations as Directed Graphs Josi, Frieda; Wartena, Christian (Prof. Dr.); Heid, Ulrich (Prof. Dr.). - : Cham : Springer, 2021. : Hannover : Hochschule Hannover, 2021 BASE Show details 8 Verbal Idioms: Concrete Nouns in Abstract Contexts Wartena, Christian (Prof. Dr.); Charbonnier, Jean. - : Hannover : Hochschule Hannover, 2021 BASE Show details 9 Predicting the Concreteness of German Words ... Charbonnier, Jean; Wartena, Christian. - : Hochschule Hannover, 2021 BASE Show details 10 HsH: Estimating Semantic Similarity of Words and Short Phrases with Frequency Normalized Distance Measures ... Wartena, Christian. - : Association for Computational Linguistics, 2021 BASE Show details 11 Predicting the Concreteness of German Words Wartena, Christian (Prof. Dr.); Charbonnier, Jean. - : Hannover : Hochschule Hannover, 2020 BASE Show details 12 Sentiment Independent Topic Detection in Rated Hospital Reviews Patzelt, Christiane (Dr.); Sander, Uwe (Prof. Dr.); Wartena, Christian (Prof. Dr.). - : Association for Computational Linguistics, 2019. : Hannover : Hochschule Hannover, 2019 BASE Show details 13 Predicting Word Concreteness and Imagery Charbonnier, Jean; Wartena, Christian (Prof. Dr.). - : Stroudsburg, Pennsylvania : Association for Computational Linguistics, 2019. : Hannover : Hochschule Hannover, 2019 BASE Show details 14 Detecting Paraphrases of Standard Clause Titles in Insurance Contracts Heid, Ulrich; Wartena, Christian (Prof. Dr.); Josi, Frieda. - : Hannover : Hochschule Hannover, 2019 BASE Show details 15 A Probabilistic Morphology Model for German Lemmatization Wartena, Christian (Prof. Dr.). - : Hannover : Hochschule Hannover, 2019 BASE Show details 16 Predicting Word Concreteness and Imagery ... Charbonnier, Jean; Wartena, Christian. - : Association for Computational Linguistics, 2019 BASE Show details 17 Using Word Embeddings for Unsupervised Acronym Disambiguation ... Charbonnier, Jean; Wartena, Christian; International Committee On Computational Linguistics ICCL. - : Hochschule Hannover, 2018 Abstract: Scientific papers from all disciplines contain many abbreviations and acronyms. In many cases these acronyms are ambiguous. We present a method to choose the contextual correct definition of an acronym that does not require training for each acronym and thus can be applied to a large number of different acronyms with only few instances. We constructed a set of 19,954 examples of 4,365 ambiguous acronyms from image captions in scientific papers along with their contextually correct definition from different domains. We learn word embeddings for all words in the corpus and compare the averaged context vector of the words in the expansion of an acronym with the weighted average vector of the words in the context of the acronym. We show that this method clearly outperforms (classical) cosine similarity. Furthermore, we show that word embeddings learned from a 1 billion word corpus of scientific exts outperform word embeddings learned from much larger general corpora. ... Keyword: 020 Bibliotheks- und Informationswissenschaft URL: https://serwiss.bib.hs-hannover.de/1265 https://dx.doi.org/10.25968/opus-1265 BASE Hide details 18 Using Word Embeddings for Unsupervised Acronym Disambiguation Charbonnier, Jean; Wartena, Christian (Prof. Dr.). - : Hannover : Hochschule Hannover, 2018 BASE Show details 19 Editorial for the 17th European Networked Knowledge Organization Systems Workshop (NKOS 2017) ... Mayr, Philipp; Tudhope, Douglas; Golub, Koraljka. - : Hochschule Hannover, 2017 BASE Show details 20 Editorial for the 15th European Networked Knowledge Organization Systems Workshop (NKOS 2016) ... Mayr, Philipp; Tudhope, Douglas; Golub, Koraljka. - : Hochschule Hannover, 2017 BASE Show details Page: 1 2

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