Search Results - "Ljubesic, Nikola"

Automatic genre identification: a survey by Kuzman, Taja, Ljubešić, Nikola

“…Abstract Automatic genre identification (AGI) is a text classification task focused on genres, i.e., text categories defined by the author’s purpose, common…”
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Can cross-domain term extraction benefit from cross-lingual transfer and nested term labeling? by Tran, Hanh Thi Hong, Martinc, Matej, Repar, Andraz, Ljubešić, Nikola, Doucet, Antoine, Pollak, Senja

“…Automatic term extraction (ATE) is a natural language processing task that eases the effort of manually identifying terms from domain-specific corpora by…”
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Retweet communities reveal the main sources of hate speech by Evkoski, Bojan, Pelicon, Andraž, Mozetič, Igor, Ljubešić, Nikola, Kralj Novak, Petra

“…We address a challenging problem of identifying main sources of hate speech on Twitter. On one hand, we carefully annotate a large set of tweets for hate…”
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Community evolution in retweet networks by Evkoski, Bojan, Mozetič, Igor, Ljubešić, Nikola, Kralj Novak, Petra

“…Communities in social networks often reflect close social ties between their members and their evolution through time. We propose an approach that tracks two…”
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Automatic Genre Identification for Robust Enrichment of Massive Text Collections: Investigation of Classification Methods in the Era of Large Language Models by Kuzman, Taja, Mozetič, Igor, Ljubešić, Nikola

“…Massive text collections are the backbone of large language models, the main ingredient of the current significant progress in artificial intelligence…”
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Deep lexicography” – Fad or Opportunity? by Ljubešić, Nikola

“…In recent years, we are witnessing staggering improvements in various semantic data processing tasks due to the developments in the area of deep learning,…”
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The Janes project: language resources and tools for Slovene user generated content by Fišer, Darja, Ljubešić, Nikola, Erjavec, Tomaž

“…The paper presents the results of the Janes project, which aimed to develop language resources and tools for Slovene user generated content. The paper first…”
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Correction: Content-based comparison of communities in social networks: Ex-Yugoslavian reactions to the Russian invasion of Ukraine by Evkoski, Bojan, Novak, Petra Kralj, Ljubešić, Nikola

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Content-based comparison of communities in social networks: Ex-Yugoslavian reactions to the Russian invasion of Ukraine by Evkoski, Bojan, Kralj Novak, Petra, Ljubešić, Nikola

“…We discuss the added value of various approaches for identifying similarities in social network communities based on the content they produce. We show the…”
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The Croatian psycholinguistic database: Estimates for 6000 nouns, verbs, adjectives and adverbs by Peti-Stantić, Anita, Anđel, Maja, Gnjidić, Vedrana, Keresteš, Gordana, Ljubešić, Nikola, Masnikosa, Irina, Tonković, Mirjana, Tušek, Jelena, Willer-Gold, Jana, Stanojević, Mateusz-Milan

“…Psycholinguistic databases containing ratings of concreteness, imageability, age of acquisition, and subjective frequency are used in psycholinguistic and…”
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The KAS corpus of Slovenian academic writing by Erjavec, Tomaž, Fišer, Darja, Ljubešić, Nikola

“…The paper presents the KAS corpus of Slovenian academic writing, which consists of almost 65,000 B.A./B.Sc., 16,000 M.A./M.Sc. and 1600 Ph.D. theses (5 million…”
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The ParlaMint corpora of parliamentary proceedings by Erjavec, Tomaž, Ogrodniczuk, Maciej, Osenova, Petya, Ljubešić, Nikola, Simov, Kiril, Pančur, Andrej, Rudolf, Michał, Kopp, Matyáš, Barkarson, Starkaður, Steingrímsson, Steinþór, Çöltekin, Çağrı, de Does, Jesse, Depuydt, Katrien, Agnoloni, Tommaso, Venturi, Giulia, Pérez, María Calzada, de Macedo, Luciana D., Navarretta, Costanza, Luxardo, Giancarlo, Coole, Matthew, Rayson, Paul, Morkevičius, Vaidas, Krilavičius, Tomas, Darǵis, Roberts, Ring, Orsolya, van Heusden, Ruben, Marx, Maarten, Fišer, Darja

“…This paper presents the ParlaMint corpora containing transcriptions of the sessions of the 17 European national parliaments with half a billion words. The…”
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Distributional modelling for semantic shift detection by Fišer, Darja, Ljubešić, Nikola

“…Abstract This paper gives an overview of distributional modelling of word meaning for contemporary lexicography. We also apply it in a case study on automatic…”
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Ultrastructural characterization of the reversible differentiation of chloroplasts in cucumber fruit by Prebeg, Tatjana (Ruder Boskovic Institute, Zagreb, Croatia), E-mail: prebeg@irb.hr, Wrischer, Mercedes (Ruder Boskovic Institute, Zagreb, Croatia), Fulgosi, Hrvoje (Ruder Boskovic Institute, Zagreb, Croatia), Ljubesic, Nikola (Ruder Boskovic Institute, Zagreb, Croatia)

“…The changes in plastid ultrastructure in the pericarp of cucumber (Cucumis sativus L.) fruit were studied during fruit yellowing (which accompanied maturation)…”
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Evolution of topics and hate speech in retweet network communities by Evkoski, Bojan, Ljubešić, Nikola, Pelicon, Andraž, Mozetič, Igor, Kralj Novak, Petra

“…Twitter data exhibits several dimensions worth exploring: a network dimension in the form of links between the users, textual content of the tweets posted, and…”
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Who are the haters? A corpus-based demographic analysis of authors of hate speech by Hilte, Lisa, Markov, Ilia, Ljubešić, Nikola, Fišer, Darja, Daelemans, Walter

“…We examine the profiles of hate speech authors in a multilingual dataset of Facebook reactions to news posts discussing topics related to migrants and the…”
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Geographic Adaptation of Pretrained Language Models by Hofmann, Valentin, Glavaš, Goran, Ljubešić, Nikola, Pierrehumbert, Janet B., Schütze, Hinrich

“…While pretrained language models (PLMs) have been shown to possess a plethora of linguistic knowledge, the existing body of research has largely neglected…”
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Expression and immunolocalization of metallothioneins MT1, MT2 and MT3 in rat nephron by Sabolić, Ivan, Škarica, Mario, Ljubojević, Marija, Breljak, Davorka, Herak-Kramberger, Carol M., Crljen, Vladiana, Ljubešić, Nikola

“…Rodent kidneys exhibit three isoforms of metallothioneins (MTs), MT1, MT2 and MT3, with poorly characterized localization along the nephron. Here we studied in…”
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Corpus compilation for digital humanities in lower–resourced languages: A practical look at compiling thematic digital media corpora in Serbian, Croatian and Slovenian by Bogetić, Ksenija D, Batanović, Vuk, Ljubešić, Nikola

“…The digital era has unlocked unprecedented possibilities of compiling corpora of social discourse, which has brought corpus linguistic methods into closer…”
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Collocation ranking: frequency vs semantics by Ljubešić, Nikola, Logar, Nataša, Kosem, Iztok

“…Collocations play a very important role in language description, especially in identifying meanings of words. Modern lexicography’s inevitable part of meaning…”
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