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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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Abstract:
As principal investigator and project lead, Mark G. Bilby (PhD Virginia, MSLIS Drexel) announces he has discovered a scientific solution to the Synoptic Problem and the restoration of the lost gospel of Qn, the pre-70 CE Judean gospel about Joshua of Nazareth—a text being painstakingly, scientifically, and gradually reconstructed here in most of its breadth and depth for the first time, together with interconnected reconstructions of the earliest versions of the gospels of Mark, Luke, and Matthew. The New Q or Neue Quelle (Qn) is a major excision, expansion, emendation, and simplification of the Q text that New Testament scholars generally accept as the earliest known gospel created by Joshua followers. The discovery and reconstruction of Qn puts Marcion’s Gospel —which has not previously been taken as the primary and earliest textual basis for resolving Q together with the Synoptic Problem—at the center of the puzzle of our earliest Joshua texts and traditions. Following the principles of open science, all ...
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Keyword:
Computational Linguistics; First Gospel; Gospel of Marcion; Historical Jesus; http//id.loc.gov/authorities/names/n80045098; http//id.loc.gov/authorities/subjects/sh85013760; http//id.loc.gov/authorities/subjects/sh85077224; http//id.loc.gov/authorities/subjects/sh85109386; http//id.loc.gov/authorities/subjects/sh85131645; http//id.loc.gov/authorities/subjects/sh88002425; Natural Language Processing; Q; Qn; Synoptic Problem
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URL: https://dx.doi.org/10.5281/zenodo.3927056 https://zenodo.org/record/3927056
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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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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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