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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 Hits 1 – 16 of 16 1 Universal Segmentations 1.0 (UniSegments 1.0) Žabokrtský, Zdeněk; Bafna, Nyati; Bodnár, Jan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2022 BASE Show details 2 Croatian SenseGraph 1.0 Šnajder, Jan; Alagić, Domagoj. - : Faculty of Electrical Engineering and Computing, University of Zagreb, 2019 BASE Show details 3 Annotated corpora and tools of the PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions (edition 1.1) Ramisch, Carlos; Cordeiro, Silvio Ricardo; Savary, Agata. - : PARSEME, 2018 BASE Show details 4 Two layers of annotation for representing event mentions in news stories Buono, Maria Pia di; Tutek, Martin; Šnajder, Jan. - : Association for Computational Linguistics, 2017 BASE Show details 5 Predicting news values from headline text and emotions Buono, Maria Pia di; Šnajder, Jan; Dalbelo Bašić, Bojana. - : Association for Computational Linguistics, 2017 BASE Show details 6 Predictability of Distributional Semantics in Derivational Word Formation Padó, Sebastian; Herbelot, Aurélie; Kisselew, Max; Šnajder, Jan In: Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics : Technical Papers P. 1285–1296 (2016) Abstract: Compositional distributional semantic models (CDSMs) have successfully been applied to the task of predicting the meaning of a range of linguistic constructions. Their performance on semi-compositional word formation process of (morphological) derivation, however, has been extremely variable, with no large-scale empirical investigation to date. This paper fills that gap, performing an analysis of CDSM predictions on a large dataset (over 30,000 German derivationally related word pairs). We use linear regression models to analyze CDSM performance and obtain insights into the linguistic factors that influence how predictable the distributional context of a derived word is going to be. We identify various such factors, notably part of speech, argument structure, and semantic regularity. Keyword: info:eu-repo/classification/ddc/025.063; info:eu-repo/classification/ddc/410 URL: https://archive-ouverte.unige.ch/unige:139494 BASE Hide details 7 TKLBLIIR: Detecting Twitter paraphrases with TweetingJay Karan, Mladen; Glavaš, Goran; Šnajder, Jan. - : Association for Computational Linguistics, 2015 BASE Show details 8 Constructing coherent event hierarchies from news stories Glavaš, Goran; Šnajder, Jan. - : Association for Computational Linguistics, 2014 BASE Show details 9 Recognizing identical events with graph kernels Glavaš, Goran; Šnajder, Jan. - : Association for Computational Linguistics, 2013 BASE Show details 10 Event-centered information retrieval using kernels on event graphs Glavaš, Goran; Šnajder, Jan. - : Association for Computational Linguistics, 2013 BASE Show details 11 Aspect-oriented opinion mining from user reviews in Croatian Glavaš, Goran; Korenčić, Damir; Šnajder, Jan. - : Association for Computational Linguistics, 2013 BASE Show details 12 Exploring coreference uncertainty of generically extracted event mentions Glavaš, Goran; Šnajder, Jan. - : Springer, 2013 BASE Show details 13 Semi-supervised acquisition of Croatian sentiment lexicon Glavaš, Goran; Šnajder, Jan; Dalbelo Bašić, Bojana. - : Springer, 2012 BASE Show details 14 Experiments on hybrid corpus-based sentiment lexicon acquisition Glavaš, Goran; Dalbelo Bašić, Bojana; Šnajder, Jan. - : Association for Computational Linguistics, 2012 BASE Show details 15 TakeLab: Systems for measuring semantic text similarity Dalbelo Bašić, Bojana; Šarić, Frane; Glavaš, Goran. - : Association for Computational Linguistics, 2012 BASE Show details 16 Extending lexical association measures for collocation extraction Bašić, Bojana Dalbelo; Petrović, Saša; Šnajder, Jan In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 24 (2010) 2, 383-394 BLLDB OLC Linguistik Show details

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