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Finding the best way to put media bias research into practice via an annotation app ...
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Movies with imaginary worlds cluster together because of exploration-related terms in plot summaries ...
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Finding the best way to put media bias research into practice through an annotation app ...
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Can distributional semantics explain performance on the false belief task? ...
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The First Gospel, the Gospel of the Poor: A New Reconstruction of Q and Resolution of the Synoptic Problem based on Marcion's Early Luke ...
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From Close to Distant Reading. Towards the Computational Analysis of "Liber Abbaci" ...
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From Close to Distant Reading. Towards the Computational Analysis of "Liber Abbaci" ...
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Characterizing News Portrayal of Civil Unrest in Hong Kong, 1998–2020 ...
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The First Gospel, the Gospel of the Poor: A New Reconstruction of Q and Resolution of the Synoptic Problem based on Marcion's Early Luke ...
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Jibes & Delights: A Dataset of Targeted Insults and Compliments to Tackle Online Abuse ...
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Bird’s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach ...
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The glyph project: The distinctiveness of written characters — online crowdsourcing for a typology of letter shapes ...
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Formalization of AMR Inference via Hybrid Logic Tableaux ...
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Human-like learning of syntactic islands by neural networks ...
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Abstract:
Recently, computational linguists have shown that neural networks without any prior syntactic knowledge can induce human-like grammatical knowledge (Linzen & Baroni, 2021). This success has not been attested for all syntactic phenomena, however. Syntactic island constraints still receive mixed results. Wh-, complex NP, coordination, adjunct and left branch islands are, for example, successfully learned in most studies, but negative phrase, relative clause and (sentential) subject islands only partially or not at all (Chaves, 2020; Chowdhury & Zamparelli, 2018; Wilcox et al., 2018; Wilcox et al., 2019; Wilcox et al., 2021). Furthermore, the neural network can even learn subtle differences between these islands, for example whether an island type is experienced as strong or as weak. Coordination islands are, for instance, learned as very strong islands, while wh-islands are learned as less strong (Wilcox et al., 2021). While these island constraints have been tested with different computational models ...
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Keyword:
Arts and Humanities; Computational Linguistics; Dutch Studies; FOS Languages and literature; Linguistics; Social and Behavioral Sciences
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URL: https://osf.io/23teq/ https://dx.doi.org/10.17605/osf.io/23teq
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Study 1 - Fred and his dog (revised with author vs respondent conditions) ...
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Recognition of Urdu sign language: a systematic review of the machine learning classification
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In: PeerJ Comput Sci (2022)
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Multi-label emotion classification of Urdu tweets
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In: PeerJ Comput Sci (2022)
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