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The Language of Dreams: Application of Linguistics-Based Approaches for the Automated Analysis of Dream Experiences
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In: Clocks & Sleep ; Volume 3 ; Issue 3 ; Pages 35-514 (2021)
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Abstract:
The study of dreams represents a crucial intersection between philosophical, psychological, neuroscientific, and clinical interests. Importantly, one of the main sources of insight into dreaming activity are the (oral or written) reports provided by dreamers upon awakening from their sleep. Classically, two main types of information are commonly extracted from dream reports: structural and semantic, content-related information. Extracted structural information is typically limited to the simple count of words or sentences in a report. Instead, content analysis usually relies on quantitative scores assigned by two or more (blind) human operators through the use of predefined coding systems. Within this review, we will show that methods borrowed from the field of linguistic analysis, such as graph analysis, dictionary-based content analysis, and distributional semantics approaches, could be used to complement and, in many cases, replace classical measures and scales for the quantitative structural and semantic assessment of dream reports. Importantly, these methods allow the direct (operator-independent) extraction of quantitative information from language data, hence enabling a fully objective and reproducible analysis of conscious experiences occurring during human sleep. Most importantly, these approaches can be partially or fully automatized and may thus be easily applied to the analysis of large datasets.
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Keyword:
dreaming; graph analysis; semantics; word embedding
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URL: https://doi.org/10.3390/clockssleep3030035
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22 |
Completing WordNets with Sememe Knowledge
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In: Electronics; Volume 11; Issue 1; Pages: 79 (2021)
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23 |
Combination of Time Series Analysis and Sentiment Analysis for Stock Market Forecasting
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In: Graduate Theses and Dissertations (2021)
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24 |
Comparing vector document representation methods for authorship identification ; Comparando métodos de representação vectorial de documentos para identificação de autoria
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Quintanilla, Pamela Rosy Revuelta. - : Biblioteca Digital de Teses e Dissertações da USP, 2021. : Universidade de São Paulo, 2021. : Instituto de Matemática e Estatística, 2021
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25 |
Sulle tracce dell’espressione dell’interiorità: analisi diacronica di un corpus di narrativa italiana del XIX-XX secolo
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26 |
Improved GloVe Word Embedding Using Linear Weighting Scheme for Word Similarity Tasks
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In: Electronic Theses and Dissertations (2021)
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27 |
On The Role of Machine Learning in A Human Learning Process
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In: Teaching Culturally and Linguistically Diverse International Students in Open or Online Learning Environments: A Research Symposium (2021)
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28 |
Detection of Hate Speech Spreaders using Convolutional Neural Networks
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29 |
Whatever it takes to understand a central banker: Embedding their words using neural networks
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30 |
Complete Variable-Length Codes: An Excursion into Word Edit Operations
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In: LATA 2020 ; https://hal.archives-ouvertes.fr/hal-02389403 ; LATA 2020, Mar 2020, Milan, Italy (2020)
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31 |
Apprentissage de plongements de mots sur des corpus en langue de spécialité : une étude d’impact
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In: Actes de la 6e conférence conjointe Journées d'Études sur la Parole (JEP, 33e édition), Traitement Automatique des Langues Naturelles (TALN, 27e édition), Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RÉCITAL, 22e édition). Volume 3 : Rencontre des Étudiants Chercheurs en Informatique pour le TAL ; 6e conférence conjointe Journées d'Études sur la Parole (JEP, 33e édition), Traitement Automatique des Langues Naturelles (TALN, 27e édition), Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RÉCITAL, 22e édition). Volume 3 : Rencontre des Étudiants Chercheurs en Informatique pour le TAL ; https://hal.archives-ouvertes.fr/hal-02786198 ; 6e conférence conjointe Journées d'Études sur la Parole (JEP, 33e édition), Traitement Automatique des Langues Naturelles (TALN, 27e édition), Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RÉCITAL, 22e édition). Volume 3 : Rencontre des Étudiants Chercheurs en Informatique pour le TAL, Jun 2020, Nancy, France. pp.164-178 (2020)
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32 |
Unsupervised cross-lingual representation modeling for variable length phrases ; Apprentissage de représentations cross-lingue d’expressions de longueur variable
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In: https://hal.archives-ouvertes.fr/tel-02938554 ; Computation and Language [cs.CL]. Université de Nantes, 2020. English (2020)
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33 |
Word Representations Concentrate and This is Good News!
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In: CoNLL 2020 - 24th Conference on Computational Natural Language Learning ; https://hal.univ-grenoble-alpes.fr/hal-03356609 ; CoNLL 2020 - 24th Conference on Computational Natural Language Learning, Association for Computational Linguistics (ACL), Nov 2020, Online, France. pp.325-334, ⟨10.18653/v1/2020.conll-1.25⟩ (2020)
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34 |
Implementing Eco’s Model Reader with WordEmbeddings. An Experiment on Facebook Ideological Bots
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In: JADT - Journées d'analyse des données textuelles ; https://hal.archives-ouvertes.fr/hal-03144105 ; JADT - Journées d'analyse des données textuelles, Jun 2020, Toulouse, France (2020)
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35 |
Natural language understanding in argumentative dialogue systems ...
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36 |
Automatic Creation of Correspondence Table of Meaning Tags from Two Dictionaries in One Language Using Bilingual Word Embedding
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37 |
ArAutoSenti: Automatic annotation and new tendencies for sentiment classification of Arabic messages
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38 |
French AXA Insurance Word Embeddings : Effects of Fine-tuning BERT and Camembert on AXA France’s data
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Zouari, Hend. - : KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020
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39 |
Entropy-Based Approach for the Detection of Changes in Arabic Newspapers’ Content
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In: Entropy ; Volume 22 ; Issue 4 (2020)
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40 |
A Framework for Word Embedding Based Automatic Text Summarization and Evaluation
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In: Information ; Volume 11 ; Issue 2 (2020)
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