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1
Finding the best way to put media bias research into practice via an annotation app ...
Hornung, Tilman. - : Open Science Framework, 2022
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2
Movies with imaginary worlds cluster together because of exploration-related terms in plot summaries ...
Dubourg, Edgar. - : Open Science Framework, 2022
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3
Finding the best way to put media bias research into practice through an annotation app ...
Hornung, Tilman. - : Open Science Framework, 2022
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4
Spatial representations without spatial computations ...
Gatti, Daniele. - : Open Science Framework, 2022
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5
CompLanguageLearning ...
Koplenig, Alexander. - : Open Science Framework, 2022
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6
Can distributional semantics explain performance on the false belief task? ...
Trott, Sean. - : Open Science Framework, 2022
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7
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 ...
Bilby, Mark G.. - : Zenodo, 2022
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8
From Close to Distant Reading. Towards the Computational Analysis of "Liber Abbaci" ...
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9
From Close to Distant Reading. Towards the Computational Analysis of "Liber Abbaci" ...
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10
Characterizing News Portrayal of Civil Unrest in Hong Kong, 1998–2020 ...
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11
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 ...
Bilby, Mark G.. - : Zenodo, 2022
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12
Jibes & Delights: A Dataset of Targeted Insults and Compliments to Tackle Online Abuse​ ...
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13
Bird’s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach ...
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14
The glyph project: The distinctiveness of written characters — online crowdsourcing for a typology of letter shapes ...
Morin, Olivier. - : Open Science Framework, 2022
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15
Formalization of AMR Inference via Hybrid Logic Tableaux ...
Goldner, Eli Tecumseh. - : Brandeis University, 2022
Abstract: AMR and its extensions have become popular in semantic representation due to their ease of annotation by non-experts, attention to the predicative core of sentences, and abstraction away from syntactic matter. An area where AMR and its extensions warrant improvement is formalization and suitability for inference, where it is lacking compared to other semantic representations, such as description logics, episodic logic, and discourse representation theory. This thesis presents a formalization of inference over a merging of Donatelli et al.’s (2018) AMR extension for tense and aspect with Pustejovsky et al.’s (2019) AMR extension for quantification and scope. Inference is modeled with a merging of Hansen’s (2007) tableau method for first-order hybrid logic with varying domain semantics (FHL) and Blackburn and Jørgensen’s (2012) tableau method for basic hybrid tense logic (BHTL). We motivate the merging of these AMR variants, present their interpretation and inference in the combination of FHL and BHTL, which ...
Keyword: Abstract Meaning Representation; AMR; automated reasoning; Computational Linguistics; hybrid logic; Knowledge Representation; semantic representation; Semantics; tableau
URL: https://dx.doi.org/10.48617/etd.45
https://scholarworks.brandeis.edu/esploro/outputs/graduate/9924022111401921
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16
Human-like learning of syntactic islands by neural networks ...
Suijkerbuijk, Michelle. - : Open Science Framework, 2022
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17
Study 1 - Fred and his dog (revised with author vs respondent conditions) ...
Shorr, Ardon. - : Open Science Framework, 2022
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18
Lingue classiche e linguistica computazionale
Passarotti, Marco (orcid:0000-0002-9806-7187). - 2022
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19
Recognition of Urdu sign language: a systematic review of the machine learning classification
In: PeerJ Comput Sci (2022)
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20
Multi-label emotion classification of Urdu tweets
In: PeerJ Comput Sci (2022)
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