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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 Hits 1 – 20 of 27 1 Injecting Inductive Biases into Distributed Representations of Text ... Prokhorov, Victor. - : Apollo - University of Cambridge Repository, 2021 BASE Show details 2 Injecting Inductive Biases into Distributed Representations of Text Prokhorov, Victor. - : University of Cambridge, 2021. : Selwyn, 2021 BASE Show details 3 Towards High-End Scalability on Bio-Inspired Computational Models Thiruvathukal, George K.; Rizzi, Silvio; Dematties, Dario In: Computer Science: Faculty Publications and Other Works (2020) BASE Show details 4 Exploring Explicit and Implicit Feature Spaces in Natural Language Processing Using Self-Enrichment and Vector Space Analysis Sippola, Vincent In: Electronic Thesis and Dissertation Repository (2020) Abstract: Machine Learning in Natural Language Processing (NLP) deals directly with distributed representations of words and sentences. Words are transformed into vectors of real values, called embeddings, and used as the inputs to machine learning models. These architectures are then used to solve NLP tasks such as Sentiment Analysis and Natural Language Inference. While solving these tasks many models will create word embeddings and sentence embeddings as outputs. We are interested in how we can transform and analyze these output embeddings and modify our models, to both improve the task result and give us an understanding of the spaces. To this end we introduce the notion of explicit features, the actual values of the embeddings, and implicit features, information encoded into the space of vectors by solving the task, and hypothesis on an idealized spaces, where implicit features directly create the explicit features by means of basic linear algebra and set theory. To test if our output spaces are similar to our ideal space we vary the model and, motivated by Transformer architectures, introduce the notion of Self-Enriching layers. We also create idealized spaces, and run task experiments to see if the patterns of results can give us insight into the output spaces, as well we run transfer learning experiments to see what kinds of information are being represented by our models. Finally, we run direct analysis of the vectors of the word and sentence outputs for comparison. Keyword: Artificial Intelligence and Robotics; distributed representations; natural language inference; natural language processing; sentence embeddings; sentiment analysis; word embeddings URL: https://ir.lib.uwo.ca/cgi/viewcontent.cgi?article=9954&context=etd https://ir.lib.uwo.ca/etd/7471 BASE Hide details 5 neurophon/neurophon: Minor update to ensure future updates include Zenodo author/keyword metadata ... Dematties, Dario; Thiruvathukal, George K.; Rizzi, Silvio. - : Zenodo, 2019 BASE Show details 6 neurophon/neurophon: A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics ... Dematties, Dario; Thiruvathukal, George K.; Rizzi, Silvio. - : Zenodo, 2019 BASE Show details 7 neurophon/neurophon: Prerelease ... Dematties, Dario; Thiruvathukal, George K.; Rizzi, Silvio. - : Zenodo, 2019 BASE Show details 8 neurophon/neurophon: A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics ... Dematties, Dario; Thiruvathukal, George K.; Rizzi, Silvio. - : Zenodo, 2019 BASE Show details 9 Neurocomputational cortical memory for spectro-temporal phonetic abstraction. Dematties, Dario; Rizzi, Silvio; Wainselboim, Alejandro Javier... In: Computer Science: Faculty Publications and Other Works (2019) BASE Show details 10 Datasets used to train and test the Cortical Spectro-Temporal Model (CSTM). ... Dematties, Dario; Thiruvathukal, George K.; Rizzi, Silvio. - : Zenodo, 2019 BASE Show details 11 Datasets used to train and test the Cortical Spectro-Temporal Model (CSTM). ... Dematties, Dario; Thiruvathukal, George K.; Rizzi, Silvio. - : Zenodo, 2019 BASE Show details 12 A Systematic Study of Knowledge Graph Analysis for Cross-language Plagiarism Detection Franco-Salvador, Marc; Rosso, Paolo; Montes Gomez, Manuel. - : Elsevier, 2016 BASE Show details 13 Language variety identification using distributed representations of words and documents Martí, M. Antònia; Rosso, Paolo; Franco Salvador, Marc. - : Springer International Publishing, 2015 BASE Show details 14 What Machines Understand about Personality Words after Reading the News Moyer, Eric David In: http://rave.ohiolink.edu/etdc/view?acc_num=wright1404902086 (2014) BASE Show details 15 What Machines Understand about Personality Words after Reading the News Moyer, Eric David In: Browse all Theses and Dissertations (2014) BASE Show details 16 Large-Scale Acquisition of Feature-Based Conceptual Representations from Textual Corpora Devereux, Barry; Pilkington, Nicholas; Poibeau, Thierry... In: Proceedings of the Annual Meeting of the Cognitive Science Society ; The Annual Meeting of the Cognitive Science Society ; https://hal.archives-ouvertes.fr/hal-00507103 ; The Annual Meeting of the Cognitive Science Society, 2010, United States. 6 p (2010) BASE Show details 17 Modelling the effects of semantic ambiguity in word recognition Rodd, JM; Gaskell, MG; Marslen-Wilson, WD In: COGNITIVE SCI , 28 (1) 89 - 104. (2004) (2004) BASE Show details 18 Modelling the effects of semantic ambiguity in word recognition Jennifer M. Rodd A; M. Gareth Gaskell B; William D. Marslen-wilson C In: http://csl.psychol.cam.ac.uk/publications/04_Rodd_CogSci.pdf (2003) BASE Show details 19 Making sense of semantic ambiguity: Semantic competition in lexical access Rodd, J; Gaskell, G; Marslen-Wilson, W In: JOURNAL OF MEMORY AND LANGUAGE , 46 (2) pp. 245-266. (2002) (2002) BASE Show details 20 Toward a connectionist model of recursion in human linguistic performance Christiansen, MH; Chater, N In: COGNITIVE SCI , 23 (2) 157 - 205. (1999) (1999) BASE Show details Page: 1 2

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