Essays about: "semantic memory"

Showing result 21 - 25 of 51 essays containing the words semantic memory.

  1. 21. Relation Classification using Semantically-Enhanced Syntactic Dependency Paths : Combining Semantic and Syntactic Dependencies for Relation Classification using Long Short-Term Memory Networks

    University essay from Linköpings universitet/Interaktiva och kognitiva system

    Author : Riley Capshaw; [2018]
    Keywords : Natural language processing; NLP; computational linguistics; syntactic dependency trees; semantic dependency graphs; relation classification; relation extraction; artificial intelligence; machine learning; deep learning; neural networks; long short-term memory; LSTM;

    Abstract : Many approaches to solving tasks in the field of Natural Language Processing (NLP) use syntactic dependency trees (SDTs) as a feature to represent the latent nonlinear structure within sentences. Recently, work in parsing sentences to graph-based structures which encode semantic relationships between words—called semantic dependency graphs (SDGs)—has gained interest. READ MORE

  3. 22. Challenging the dual coding theory : Does Affective Information Play a Greater Role in Abstract Compared to Concrete Word Processing?

    University essay from Högskolan i Skövde/Institutionen för biovetenskap

    Author : Ingrid Almgren; [2018]
    Keywords : abstract word-processing; DCT; ERP; semantic representation; concreteness effect; imageability; recognition task; categorization; emotional valence;

    Abstract : It has long been held that concrete material has a processing advantage over abstract material, as predicted by Dual Coding Theory (Paivio,1991), although this has been challenged. For example, based on evidence for behavioural and neuroscientific studies, Kousta,, Vigliocco, Vinson, & Del Campo, (2011) proposed that emotional valance had a greater influence in the processing of abstract words, and that under some circumstances there may be no concreteness effect and might even be an abstractness effect. READ MORE

  4. 23. Natural Language Processing in Artificial Neural Networks: Sentence analysis in medical papers

    University essay from Lunds universitet/Institutionen för astronomi och teoretisk fysik - Genomgår omorganisation; Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

    Author : Konstantin-Klemens Lurz; [2018]
    Keywords : Machine Learning; Natural Language Processing; Medical Papers; Convolutional Neural Networks; Word2Vec; Physics and Astronomy;

    Abstract : Convolutional Neural Networks (CNNs) and pre-trained word embeddings have revolutionized the field of Natural Language Processing (NLP) during the last years. In this project, CNNs are used on top of the Word2Vec word representation for a sentence classification task on medical research articles. READ MORE

  5. 24. Multitask Deep Learning models for real-time deployment in embedded systems

    University essay from KTH/Robotik, perception och lärande, RPL

    Author : Miquel Martí Rabadán; [2017]
    Keywords : computer vision; deep learning; multitask learning; object detection; semantic segmentation; embedded systems; perception; robotics; autonomous driving;

    Abstract : Multitask Learning (MTL) was conceived as an approach to improve thegeneralization ability of machine learning models. When applied to neu-ral networks, multitask models take advantage of sharing resources forreducing the total inference time, memory footprint and model size. READ MORE

  6. 25. Executive function, working memory and speech-in-noise recognition – Comparing a non-semantic black and white version of the Trail Making Test to the original Trail Making Test

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Marc Friberg; [2017]
    Keywords : cognition; trail making test; speech in noise recognition; reading span task; working memory; executive function;

    Abstract : In this thesis, the relationship between cognition and speech-in-noise recognition, in normally-hearing Swedish students, is examined. The Trail Making Test, hypothesized to measure a wide range of cognitive functions, including executive function and working memory, has been criticized for being a culturally biased measure, hence the need for a culturally unbiased version. READ MORE