Wikifying Novel Words to Mixtures of Wikipedia Senses by Structured Sparse Coding

Pintér, Balázs; Vörös, Gyula; Szabó, Zoltán; Lörincz, András

doi:10.1007/978-3-319-12610-4_15

Cited by 2 publications

(2 citation statements)

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“…In turn, constituents form one part of semantic memory. In addition, the meaning of a word can be disambiguated by the list of other words surrounding it, see (Pintér et al, 2015) and the references therein. The difference between the set of constituents without and with the context, in the case of partial observation, is illustrated in Fig.…”

Section: Forming Semantic Memory By Factoring Out Timementioning

confidence: 99%

Colors of Autism Spectrum: A Single Paradigm Explains the Heterogeneity in Autism Spectrum Disorder

Lörincz¹

2018

Preprint

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We propose a theory of ASD as a condition of comorbid cognitive impairments that corrupt the learning, encoding, and manipulation of episodic and semantic memories. We consider (i) episodic and semantic memory functions of the entorhinal-hippocampal complex, (ii) constraints on the transfer and encoding of these memory components into neocortical areas, and (iii) the demands of cognitively manipulating memories in distributed computations being necessary for goaloriented interactions. In ASD, learning and cognitive challenges manifest in diverse ways but especially in high-complexity-model predictive control tasks with latent variables. ASD impairments in social interactions represent a prototypical example. Social interactions are at the high end of complexity and require processes (i) -(iii) to work in a concerted fashion due to the need for the learning and estimation of many, sometimes latent, parameters, including emotions, intention, physical and mental capabilities as well as the predictive modeling of these parameters for decision making and timed-action series. We put forth the idea that autism is a result of an arbitrary combination of otherwise not prominent corruptions in processes (i)-(iii). Together, these corruptions may severely impair intelligence and slow down learning, especially in highcomplexity learning tasks. Over time, slow learning may spare the spontaneous learning-by-doing method -namely, repetitive behavioral patterns, whereas behavioral failures related to complex tasks can restrict interest in such task, thus inducing a fear of novelty; conversely, the fear of novelty restricts interest and can slow learning down. We embed our thoughts into a predictive autoencoding, goal-oriented model of a deterministic world. We compare this model to others, such as the noisy brain model, the Bayesian prior theory, the mirror neuron theory and the weak central coherence theory. We argue that the predictive autoencoder model of the deterministic world harmonizes with these other models and embraces them in a straightforward way. AUTHOR SUMMARYThe core of our arguments is based on the autoencoder model of the entorhinal-hippocampal complex and its role in forming declarative memories. We argue that social behavior and language usage are highly complex cognitive tasks involving the encoding, learning, and manipulation of declarative memories with latent variables. All these processes can be corrupted in many ways. Corruptions may manifest as epilepsy, schizophrenia, attention deficit, and depression, among other disorders. However, if these symptoms are weak but co-occur, then the most strongly affected behavioral feature is the ability to solve complex cognitive tasks. This condition can be brought about by diverse combinations of impairments that sum up in corrupted social behavior the most.

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Section: Forming Semantic Memory By Factoring Out Timementioning

confidence: 99%

Colors of Autism Spectrum: A Single Paradigm Explains the Heterogeneity in Autism Spectrum Disorder

Lörincz¹

2018

Preprint

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“…Thesis 1. I introduced a method called RFWE to interpret word tokens that was designed from the ground up to be robust, flexible, and transparent [118,119]. I applied a structured sparsity inducing regularization to manage the increased scale and difficulty of the combined disambiguation problem.…”

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confidence: 99%

Word meaning for open domain dialogue systems

Pintér¹

2018

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Wikifying Novel Words to Mixtures of Wikipedia Senses by Structured Sparse Coding

Cited by 2 publications

References 15 publications

Colors of Autism Spectrum: A Single Paradigm Explains the Heterogeneity in Autism Spectrum Disorder

Colors of Autism Spectrum: A Single Paradigm Explains the Heterogeneity in Autism Spectrum Disorder

Word meaning for open domain dialogue systems

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Wikifying Novel Words to Mixtures of Wikipedia Senses by Structured Sparse Coding

Cited by 2 publications

References 15 publications

Colors of Autism Spectrum: A Single Paradigm Explains the Heterogeneity&nbsp;in Autism Spectrum Disorder

Colors of Autism Spectrum: A Single Paradigm Explains the Heterogeneity&nbsp;in Autism Spectrum Disorder

Word meaning for open domain dialogue systems

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Colors of Autism Spectrum: A Single Paradigm Explains the Heterogeneity in Autism Spectrum Disorder

Colors of Autism Spectrum: A Single Paradigm Explains the Heterogeneity in Autism Spectrum Disorder