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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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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 ...
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Keyword:
Abstract Meaning Representation; AMR; automated reasoning; Computational Linguistics; hybrid logic; Knowledge Representation; semantic representation; Semantics; tableau
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URL: https://dx.doi.org/10.48617/etd.45 https://scholarworks.brandeis.edu/esploro/outputs/graduate/9924022111401921
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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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