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Analyzing COVID-19 Medical Papers Using Artificial Intelligence: Insights for Researchers and Medical Professionals
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In: Big Data and Cognitive Computing; Volume 6; Issue 1; Pages: 4 (2022)
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Towards a theoretical understanding of word and relation representation
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Representation of Explanations of Possibilistic Inference Decisions
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In: Symbolic and Quantitative Approaches to Reasoning with Uncertainty ; ECSQARU 2021: European Conference on Symbolic and Quantitative Approaches with Uncertainty ; https://hal-cea.archives-ouvertes.fr/cea-03406884 ; ECSQARU 2021: European Conference on Symbolic and Quantitative Approaches with Uncertainty, Sep 2021, Prague, Czech Republic. pp.513-527, ⟨10.1007/978-3-030-86772-0_37⟩ (2021)
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Injecting Inductive Biases into Distributed Representations of Text ...
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Abstract:
Distributed real-valued vector representations of text (a.k.a. embeddings), learned by neural networks, encode various (linguistic) knowledge. To encode this knowledge into the embeddings the common approach is to train a large neural network on large corpora. There is, however, a growing concern regarding the sustainability and rationality of pursuing this approach further. We depart from the mainstream trend and instead, to incorporate the desired properties into embeddings, use inductive biases. First, we use Knowledge Graphs (KGs) as a data-based inductive bias to derive the semantic representation of words and sentences. The explicit semantics that is encoded in a structure of a KG allows us to acquire the semantic representations without the need of employing a large amount of text. We use graph embedding techniques to learn the semantic representation of words and the sequence-to-sequence model to learn the semantic representation of sentences. We demonstrate the efficacy of the inductive bias for ...
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Keyword:
Distributed Representations of Text; Inductive Biases; Knowledge Graphs; Sentence Embeddings; Variational Autoencoders; Word Embeddings
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URL: https://www.repository.cam.ac.uk/handle/1810/330972
https://dx.doi.org/10.17863/cam.78416
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RefWUG: Diachronic Reference Word Usage Graphs for German ...
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Αναγνώριση νοηματικής γλώσσας με τεχνικές βαθιάς μηχανικής μάθησης ... : Deep learning based sign language recognition ...
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RefWUG: Diachronic Reference Word Usage Graphs for German ...
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