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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
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2
Croatian SenseGraph 1.0
Šnajder, Jan; Alagić, Domagoj. - : Faculty of Electrical Engineering and Computing, University of Zagreb, 2019
Abstract: SenseGraph a graph-like structure of word senses of most common words of the standard Croatian language, obtained by relying on human-provided lexical substitutes for target words in context. SenseGraph is encoded in the Lexical Markup Framework (LMF; ISO 24613:2008) format. SenseGraphs consists of SenseCells, which are clusters of same-sense words obtained by grouping of words based on the similarity of their lexical substitution sets and the contexts they appear in. SenseCells can be thought of as Synsets in standard computational lexicographic terminology, albeit they exhibit more variability, which can be attributed to sense modulations in specific contexts. SenseCells are linked to each other based on loose semantic relatedness. In total, the resource covers 649 Croatian words across three different part-of-speech tags: nouns, verbs, and adjectives. More specifically, the resource contains 4,172 sentences across 230 nouns, 3,288 sentences across 200 verbs, and 4,116 sentences across 219 adjectives. Those sentences were then clustered using a lexical-substitution-based clustering method, yielding 2,877 synsets. The sentences were sampled from the SETimes.HR and hrWaC corpora. Total number of sentences: 11,576 Total number of syncells: 2,877 Total number of words: 649
Keyword: Croatian language; lexical database; lexical substitutes; semantic lexicon
URL: http://hdl.handle.net/11356/1218
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3
Annotated corpora and tools of the PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions (edition 1.1)
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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
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5
Predicting news values from headline text and emotions
Buono, Maria Pia di; Šnajder, Jan; Dalbelo Bašić, Bojana. - : Association for Computational Linguistics, 2017
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6
Predictability of Distributional Semantics in Derivational Word Formation
In: Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics : Technical Papers P. 1285–1296 (2016)
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7
TKLBLIIR: Detecting Twitter paraphrases with TweetingJay
Karan, Mladen; Glavaš, Goran; Šnajder, Jan. - : Association for Computational Linguistics, 2015
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8
Constructing coherent event hierarchies from news stories
Glavaš, Goran; Šnajder, Jan. - : Association for Computational Linguistics, 2014
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9
Recognizing identical events with graph kernels
Glavaš, Goran; Šnajder, Jan. - : Association for Computational Linguistics, 2013
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10
Event-centered information retrieval using kernels on event graphs
Glavaš, Goran; Šnajder, Jan. - : Association for Computational Linguistics, 2013
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11
Aspect-oriented opinion mining from user reviews in Croatian
Glavaš, Goran; Korenčić, Damir; Šnajder, Jan. - : Association for Computational Linguistics, 2013
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12
Exploring coreference uncertainty of generically extracted event mentions
Glavaš, Goran; Šnajder, Jan. - : Springer, 2013
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13
Semi-supervised acquisition of Croatian sentiment lexicon
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14
Experiments on hybrid corpus-based sentiment lexicon acquisition
Glavaš, Goran; Dalbelo Bašić, Bojana; Šnajder, Jan. - : Association for Computational Linguistics, 2012
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15
TakeLab: Systems for measuring semantic text similarity
Dalbelo Bašić, Bojana; Šarić, Frane; Glavaš, Goran. - : Association for Computational Linguistics, 2012
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16
Extending lexical association measures for collocation extraction
In: Computer speech and language. - Amsterdam [u.a.] : Elsevier 24 (2010) 2, 383-394
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OLC Linguistik
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