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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 Page: 1 2 3 4 5...138 Hits 1 – 20 of 2.756 1 Finding the best way to put media bias research into practice via an annotation app ... Hornung, Tilman. - : Open Science Framework, 2022 BASE Show details 2 Movies with imaginary worlds cluster together because of exploration-related terms in plot summaries ... Dubourg, Edgar. - : Open Science Framework, 2022 BASE Show details 3 Finding the best way to put media bias research into practice through an annotation app ... Hornung, Tilman. - : Open Science Framework, 2022 BASE Show details 4 Spatial representations without spatial computations ... Gatti, Daniele. - : Open Science Framework, 2022 BASE Show details 5 CompLanguageLearning ... Koplenig, Alexander. - : Open Science Framework, 2022 BASE Show details 6 Can distributional semantics explain performance on the false belief task? ... Trott, Sean. - : Open Science Framework, 2022 Abstract: In a previous pre-registration (https://osf.io/agqwv), we asked whether GPT-3, a neural language model, showed sensitivity to implied belief states. We found that it did: in a false belief task paradigm, GPT-3 assigned significantly different probability estimates to different search locations as a function of a character's belief states. In other words, GPT-3 was "sensitive" to false belief information, in the sense that its predictions about upcoming words/locations changed according to previous language in the passage that indicated whether the character knew or didn't know about an object's location change. The goal of the present work is to ask whether, and to what extent, human behavior on this task is explained by GPT-3's output, as opposed to the key experimental manipulation of Condition. The theoretical motivation for this work is to test the hypothesis that human behavior on the false belief task requires some sort of *additional* cognitive resource or information source that cannot be obtained ... Keyword: Artificial Intelligence and Robotics; Cognitive Psychology; Computational Linguistics; Computer Sciences; false belief; FOS Languages and literature; FOS Psychology; Linguistics; neural language model; Physical Sciences and Mathematics; Psycholinguistics and Neurolinguistics; Psychology; Social and Behavioral Sciences URL: https://osf.io/zp6q8/ https://dx.doi.org/10.17605/osf.io/zp6q8 BASE Hide details 7 From Close to Distant Reading. Towards the Computational Analysis of "Liber Abbaci" ... Ricci, Letizia; Grotto, Francesco; Fantoli, Margherita. - : Zenodo, 2022 BASE Show details 8 From Close to Distant Reading. Towards the Computational Analysis of "Liber Abbaci" ... Ricci, Letizia; Grotto, Francesco; Fantoli, Margherita. - : Zenodo, 2022 BASE Show details 9 Characterizing News Portrayal of Civil Unrest in Hong Kong, 1998–2020 ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; ., Giovanna Maria Dora; Bhattacharya, Rohit. - : Underline Science Inc., 2022 BASE Show details 10 Jibes & Delights: A Dataset of Targeted Insults and Compliments to Tackle Online Abuse​ ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Mamidi, Radhika; Pant, Kartikey. - : Underline Science Inc., 2022 BASE Show details 11 Bird’s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Hou, Yifan; Sachan, Mrinmaya. - : Underline Science Inc., 2022 BASE Show details 12 The glyph project: The distinctiveness of written characters — online crowdsourcing for a typology of letter shapes ... Morin, Olivier. - : Open Science Framework, 2022 BASE Show details 13 Formalization of AMR Inference via Hybrid Logic Tableaux ... Goldner, Eli Tecumseh. - : Brandeis University, 2022 BASE Show details 14 Human-like learning of syntactic islands by neural networks ... Suijkerbuijk, Michelle. - : Open Science Framework, 2022 BASE Show details 15 Study 1 - Fred and his dog (revised with author vs respondent conditions) ... Shorr, Ardon. - : Open Science Framework, 2022 BASE Show details 16 Recognition of Urdu sign language: a systematic review of the machine learning classification Zahid, Hira; Rashid, Munaf; Hussain, Samreen... In: PeerJ Comput Sci (2022) BASE Show details 17 Multi-label emotion classification of Urdu tweets Ashraf, Noman; Khan, Lal; Butt, Sabur... In: PeerJ Comput Sci (2022) BASE Show details 18 Word Frequency Analysis of Community Reaction to Religious Violence on Social Media Bryan, Emily; Seigel, Carly; Senbel, Samah In: School of Computer Science & Engineering Faculty Publications (2022) BASE Show details 19 (Re)shaping online narratives: when bots promote the message of President Trump during his first impeachment Galgoczy, Michael C.; Phatak, Atharva; Vinson, Danielle... In: PeerJ Comput Sci (2022) BASE Show details 20 A systematic literature review on spam content detection and classification Kaddoura, Sanaa; Chandrasekaran, Ganesh; Elena Popescu, Daniela... In: PeerJ Comput Sci (2022) BASE Show details Page: 1 2 3 4 5...138

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