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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 Hits 1 – 11 of 11 1 Learning with joint inference and latent linguistic structure in graphical models ... Naradowsky, Jason. - : Macquarie University, 2022 BASE Show details 2 Learning with joint inference and latent linguistic structure in graphical models ... Naradowsky, Jason. - : Macquarie University, 2022 Abstract: A human listener, charged with the difficult task of mapping language to meaning, must infer a rich hierarchy of linguistic structures, beginning with an utterance and culminating in an understanding of what was spoken. Much in the same manner, developing complete natural language processing systems requires the processing of many different layers of linguistic information in order to solve complex tasks, like answering a query or translating a document. Historically the community has largely adopted a “divide and conquer” strategy, choosing to split up such complex tasks into smaller fragments which can be tackled independently, with the hope that these smaller contributions will also yield benefits to NLP systems as a whole. These individual components can be laid out in a pipeline and processed in turn, one system’s output becoming input for the next. This approach poses two problems. First, errors propagate, and, much like the childhood game of “telephone”, combining systems in this manner can lead to ... Keyword: Other education not elsewhere classified URL: https://figshare.mq.edu.au/articles/thesis/Learning_with_joint_inference_and_latent_linguistic_structure_in_graphical_models/19442294 https://dx.doi.org/10.25949/19442294 BASE Hide details 3 Rethinking Offensive Text Detection as a Multi-Hop Reasoning Problem ... Zhang, Qiang; Naradowsky, Jason; Miyao, Yusuke. - : arXiv, 2022 BASE Show details 4 Language Modeling for Morphologically Rich Languages: Character-Aware Modeling for Word-Level Prediction ... Gerz, Daniela; Vulić, Ivan; Ponti, Edoardo. - : Apollo - University of Cambridge Repository, 2018 BASE Show details 5 Language Modeling for Morphologically Rich Languages: Character-Aware Modeling for Word-Level Prediction Gerz, Daniela; Vulić, Ivan; Ponti, Edoardo. - : MIT Press - Journals, 2018. : Transactions of the Association for Computational Linguistics, 2018 BASE Show details 6 A Structured Variational Autoencoder for Contextual Morphological Inflection Naradowsky, Jason; Cotterell, Ryan; Mielke, Sebastian J. - : Association for Computational Linguistics, 2018. : Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2018 BASE Show details 7 Represent, Aggregate, and Constrain: A Novel Architecture for Machine Reading from Noisy Sources ... Naradowsky, Jason; Riedel, Sebastian. - : arXiv, 2016 BASE Show details 8 Learning with joint inference and latent linguistic structure in graphical models Naradowsky, Jason. - : Sydney, Australia : Macquarie University, 2015 BASE Show details 9 Grammarless parsing for joint inference Naradowsky, Jason; Vieira, Tim; Smith, David A. - : Mumbai, India : The COLING 2012 Organizing Committee, 2012 BASE Show details 10 Polylingual Topic Models Mimno, David; Wallach, Hanna M.; Naradowsky, Jason... In: Hanna M. Wallach (2009) BASE Show details 11 Polylingual Topic Models Mimno, David; Wallach, Hanna M.; Naradowsky, Jason... In: Andrew McCallum (2009) BASE Show details

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