Results for 'semantic similarity, knowledge base of words, thesaurus, similarity calculation method'

983 found
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  1.  14
    言葉の意味の類似性判別に関するシソーラスと概念ベースの性能評価.石川 勉 川島 貴広 - 2005 - Transactions of the Japanese Society for Artificial Intelligence 20:326-336.
    We have developed a knowledge base of words as a tool to measure the semantic similarity between words. In this paper, we evaluate the knowledge base of words comparing with thesauruses, which are commonly used for measuring similarity. Thesauruses of NIHONGO-GOI-TAIKEI and Japan Electronic Dictionary are selected for the evaluation. For similarity calculation methods using thesauruses, we adopt a newly proposed method, in which each word is represented with vector using (...)
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  2.  21
    共起データに基づく名詞の多次元空間への配置.田中 省作 冨浦 洋一 - 2004 - Transactions of the Japanese Society for Artificial Intelligence 19:1-9.
    The semantic similarity between words is one of the basic knowledge in Natural Language Processing. There have been several previous studies on measuring the similarity based on word vectors in a multi-dimensional space. In those studies, high dimensional feature vectors of words are made from words' cooccurrence in a corpus or from reference relation in a dictionary, and then the word vectors are calculated from the feature vectors through the method like principal component analysis. This (...)
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  3.  15
    Research on the Construction of Emergency Network Public Opinion Emotional Dictionary Based on Emotional Feature Extraction Algorithm.Fang Hui - 2022 - Frontiers in Psychology 13.
    How to strengthen emergency management and improve the ability to prevent and respond to emergencies is an important part of building a harmonious socialist society. This paper proposes a domain emotion dictionary construction method for network public opinion analysis of public emergencies. Using the advantages of corpus and semantic knowledge base, this paper extracts the seed words based on the large-scale network public opinion corpus and combined with the existing emotion dictionary, trains the word vector through (...)
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  4.  41
    Characterizing the semantic and form-based similarity spaces of the mental lexicon by means of the multi-arrangement method.Lukas Ansteeg, Frank Leoné & Ton Dijkstra - 2022 - Frontiers in Psychology 13.
    Collecting human similarity judgments is instrumental to measuring and modeling neurocognitive representations and has been made more efficient by the multi-arrangement task. While this task has been tested for collecting semantic similarity judgments, it is unclear whether it also lends itself to phonological and orthographic similarity judgments of words. We have extended the task to include these lexical modalities and compared the results between modalities and against computational models. We find that similarity judgments can be (...)
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  5.  77
    Strudel: A Corpus‐Based Semantic Model Based on Properties and Types.Marco Baroni, Brian Murphy, Eduard Barbu & Massimo Poesio - 2010 - Cognitive Science 34 (2):222-254.
    Computational models of meaning trained on naturally occurring text successfully model human performance on tasks involving simple similarity measures, but they characterize meaning in terms of undifferentiated bags of words or topical dimensions. This has led some to question their psychological plausibility (Murphy, 2002;Schunn, 1999). We present here a fully automatic method for extracting a structured and comprehensive set of concept descriptions directly from an English part‐of‐speech‐tagged corpus. Concepts are characterized by weighted properties, enriched with concept–property types that (...)
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  6.  17
    Synthetic Network and Search Filter Algorithm in English Oral Duplicate Correction Map.Xiaojun Chen - 2021 - Complexity 2021:1-12.
    Combining the communicative language competence model and the perspective of multimodal research, this research proposes a research framework for oral communicative competence under the multimodal perspective. This not only truly reflects the language communicative competence but also fully embodies the various contents required for assessment in the basic attributes of spoken language. Aiming at the feature sparseness of the user evaluation matrix, this paper proposes a feature weight assignment algorithm based on the English spoken category keyword dictionary and user search (...)
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  7.  55
    Context Matters: Recovering Human Semantic Structure from Machine Learning Analysis of Large‐Scale Text Corpora.Marius Cătălin Iordan, Tyler Giallanza, Cameron T. Ellis, Nicole M. Beckage & Jonathan D. Cohen - 2022 - Cognitive Science 46 (2):e13085.
    Applying machine learning algorithms to automatically infer relationships between concepts from large-scale collections of documents presents a unique opportunity to investigate at scale how human semantic knowledge is organized, how people use it to make fundamental judgments (“How similar are cats and bears?”), and how these judgments depend on the features that describe concepts (e.g., size, furriness). However, efforts to date have exhibited a substantial discrepancy between algorithm predictions and human empirical judgments. Here, we introduce a novel approach (...)
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  8. Composition in Distributional Models of Semantics.Jeff Mitchell & Mirella Lapata - 2010 - Cognitive Science 34 (8):1388-1429.
    Vector-based models of word meaning have become increasingly popular in cognitive science. The appeal of these models lies in their ability to represent meaning simply by using distributional information under the assumption that words occurring within similar contexts are semantically similar. Despite their widespread use, vector-based models are typically directed at representing words in isolation, and methods for constructing representations for phrases or sentences have received little attention in the literature. This is in marked contrast to experimental evidence (e.g., in (...)
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  9.  66
    Unsupervised and supervised text similarity systems for automated identification of national implementing measures of European directives.Rohan Nanda, Giovanni Siragusa, Luigi Di Caro, Guido Boella, Lorenzo Grossio, Marco Gerbaudo & Francesco Costamagna - 2019 - Artificial Intelligence and Law 27 (2):199-225.
    The automated identification of national implementations of European directives by text similarity techniques has shown promising preliminary results. Previous works have proposed and utilized unsupervised lexical and semantic similarity techniques based on vector space models, latent semantic analysis and topic models. However, these techniques were evaluated on a small multilingual corpus of directives and NIMs. In this paper, we utilize word and paragraph embedding models learned by shallow neural networks from a multilingual legal corpus of European (...)
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  10.  19
    Contrasting Similar Words Facilitates Second Language Vocabulary Learning in Children by Sharpening Lexical Representations.Peta Baxter, Mienke Droop, Marianne van den Hurk, Harold Bekkering, Ton Dijkstra & Frank Leoné - 2021 - Frontiers in Psychology 12.
    This study considers one of the cognitive mechanisms underlying the development of second language vocabulary in children: The differentiation and sharpening of lexical representations. We propose that sharpening is triggered by an implicit comparison of similar representations, a process we call contrasting. We investigate whether integrating contrasting in a learning method in which children contrast orthographically and semantically similar L2 words facilitates learning of those words by sharpening their new lexical representations. In our study, 48 Dutch-speaking children learned unfamiliar (...)
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  11. Foundations of Ancient Ethics/Grundlagen Der Antiken Ethik.Jörg Hardy & George Rudebusch - 2014 - Göttingen, Germany: Vandenhoek.
    This book is an anthology with the following themes. Non-European Tradition: Bussanich interprets main themes of Hindu ethics, including its roots in ritual sacrifice, its relationship to religious duty, society, individual human well-being, and psychic liberation. To best assess the truth of Hindu ethics, he argues for dialogue with premodern Western thought. Pfister takes up the question of human nature as a case study in Chinese ethics. Is our nature inherently good (as Mengzi argued) or bad (Xunzi’s view)? Pfister ob- (...)
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  12.  23
    テキストデータを用いた類義語の自動作成.稲子 希望 笠原 要 - 2003 - Transactions of the Japanese Society for Artificial Intelligence 18 (4):221-232.
    A method of generating synonyms for a stimulus word using a computer is proposed. Vector Space Model, where words in text data are arranged in a multi-dimensional space and degree of similarity between two words of them is calculated from how close the words are in the space, may be available to the method. However, it is not easy to optimize parameters in the method because there is no appropriate standard synonym database where proper synonyms for (...)
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  13.  32
    Investigating the Extent to which Distributional Semantic Models Capture a Broad Range of Semantic Relations.Kevin S. Brown, Eiling Yee, Gitte Joergensen, Melissa Troyer, Elliot Saltzman, Jay Rueckl, James S. Magnuson & Ken McRae - 2023 - Cognitive Science 47 (5):e13291.
    Distributional semantic models (DSMs) are a primary method for distilling semantic information from corpora. However, a key question remains: What types of semantic relations among words do DSMs detect? Prior work typically has addressed this question using limited human data that are restricted to semantic similarity and/or general semantic relatedness. We tested eight DSMs that are popular in current cognitive and psycholinguistic research (positive pointwise mutual information; global vectors; and three variations each of (...)
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  14.  19
    A Novel Method for Ranking Knowledge Organization Systems (KOSs) Based on Cognition States.Maziar Amirhosseini - 2023 - Knowledge Organization 49 (6):391-410.
    The purpose of this article is to delineate the process of evolution of know­ledge organization systems (KOSs) through identification of principles of unity such as internal and external unity in organizing the structure of KOSs to achieve content storage and retrieval purposes and to explain a novel method used in ranking of KOSs by proposing the principle of rank unity. Different types of KOSs which are addressed in this article include dictionaries, Roget’s thesaurus, thesauri, micro, macro, and meta-thesaurus, ontologies, (...)
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  15.  18
    Semantic network analysis in social sciences.Elad Segev (ed.) - 2022 - London: Routledge.
    Semantic Network Analysis in Social Sciences introduces the fundamentals of semantic network analysis and its applications in the social sciences. Readers learn how to easily transform any given text into a visual network of words co-occurring together, a process that allows mapping the main themes appearing in the text and revealing its main narratives and biases. Semantic network analysis is particularly useful today with the increasing volumes of text-based information available. It is one of the developing, cutting-edge (...)
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  16.  33
    The classification of psychiatric disorders according to DSM-5 deserves an internationally standardized psychological test battery on symptom level.Dalena Van Heugten - Van Der Kloet & Ton van Heugten - 2015 - Frontiers in Psychology 6:153486.
    Failings of a categorical systemFor decades, standardized classification systems have attempted to define psychiatric disorders in our mental health care system, with the Diagnostic and Statistical Manual of Mental Disorders (5th ed.; DSM-5; American Psychiatric Association (APA), 2013) and International Statistical Classification of Diseases and Related Health Problems 10th revision (ICD-10; World Health Organization, 2010) being internationally best-known. One of the major advantages of the DSM must be that it has seriously diminished the international linguistic confusion regarding psychiatric disorders. Since (...)
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  17.  19
    Semantic Representation of Context for Description of Named Rivers in a Terminological Knowledge Base.Juan Rojas-Garcia - 2022 - Frontiers in Psychology 13.
    The description of named entities in terminological knowledge bases has never been addressed in any depth in terminology. Firm preconceptions, rooted in philosophy, about the only referential function of proper names have presumably led to disparage their inclusion in terminology resources, despite the relevance of named entities having been highlighted by prominent figures in the discipline of terminology. Scholars from different branches of linguistics depart from the conservative stance on proper names and have foregrounded the need for a novel (...)
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  18. Meillassoux’s Virtual Future.Graham Harman - 2011 - Continent 1 (2):78-91.
    continent. 1.2 (2011): 78-91. This article consists of three parts. First, I will review the major themes of Quentin Meillassoux’s After Finitude . Since some of my readers will have read this book and others not, I will try to strike a balance between clear summary and fresh critique. Second, I discuss an unpublished book by Meillassoux unfamiliar to all readers of this article, except those scant few that may have gone digging in the microfilm archives of the École normale (...)
     
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  19.  34
    Modeling the Structure and Dynamics of Semantic Processing.Armand S. Rotaru, Gabriella Vigliocco & Stefan L. Frank - 2018 - Cognitive Science 42 (8):2890-2917.
    The contents and structure of semantic memory have been the focus of much recent research, with major advances in the development of distributional models, which use word co‐occurrence information as a window into the semantics of language. In parallel, connectionist modeling has extended our knowledge of the processes engaged in semantic activation. However, these two lines of investigation have rarely been brought together. Here, we describe a processing model based on distributional semantics in which activation spreads throughout (...)
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  20.  43
    Organic and dynamic tool for use with knowledge base of AI ethics for promoting engineers’ practice of ethical AI design.Kaira Sekiguchi & Koichi Hori - 2020 - AI and Society 35 (1):51-71.
    In recent years, ethical questions related to the development of artificial intelligence are being increasingly discussed. However, there has not been enough corresponding increase in the research and development associated with AI technology that incorporates with ethical discussion. We therefore implemented an organic and dynamic tool for use with knowledge base of AI ethics for engineers to promote engineers’ practice of ethical AI design to realize further social values. Here, “organic” means that the tool deals with complex relationships (...)
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  21.  15
    SynoExtractor: A Novel Pipeline for Arabic Synonym Extraction Using Word2Vec Word Embeddings.Rawan N. Al-Matham & Hend S. Al-Khalifa - 2021 - Complexity 2021:1-13.
    Automatic synonym extraction plays an important role in many natural language processing systems, such as those involving information retrieval and question answering. Recently, research has focused on extracting semantic relations from word embeddings since they capture relatedness and similarity between words. However, using word embeddings alone poses problems for synonym extraction because it cannot determine whether the relation between words is synonymy or some other semantic relation. In this paper, we present a novel solution for this problem (...)
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  22.  19
    Exploring Patterns of Stability and Change in Caregivers' Word Usage Across Early Childhood.Hang Jiang, Michael C. Frank, Vivek Kulkarni & Abdellah Fourtassi - 2022 - Cognitive Science 46 (7):e13177.
    The linguistic input children receive across early childhood plays a crucial role in shaping their knowledge about the world. To study this input, researchers have begun applying distributional semantic models to large corpora of child‐directed speech, extracting various patterns of word use/co‐occurrence. Previous work using these models has not measured how these patterns may change throughout development, however. In this work, we leverage natural language processing methods—originally developed to study historical language change—to compare caregivers' use of words when (...)
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  23. The Method of In-between in the Grotesque and the Works of Leif Lage.Henrik Lübker - 2012 - Continent 2 (3):170-181.
    “Artworks are not being but a process of becoming” —Theodor W. Adorno, Aesthetic Theory In the everyday use of the concept, saying that something is grotesque rarely implies anything other than saying that something is a bit outside of the normal structure of language or meaning – that something is a peculiarity. But in its historical use the concept has often had more far reaching connotations. In different phases of history the grotesque has manifested its forms as a means of (...)
     
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  24.  28
    Linguistic Distributional Knowledge and Sensorimotor Grounding both Contribute to Semantic Category Production.Briony Banks, Cai Wingfield & Louise Connell - 2021 - Cognitive Science 45 (10):e13055.
    The human conceptual system comprises simulated information of sensorimotor experience and linguistic distributional information of how words are used in language. Moreover, the linguistic shortcut hypothesis predicts that people will use computationally cheaper linguistic distributional information where it is sufficient to inform a task response. In a pre‐registered category production study, we asked participants to verbally name members of concrete and abstract categories and tested whether performance could be predicted by a novel measure of sensorimotor similarity (based on an (...)
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  25.  23
    The Possibility of Teaching the Qurʾān with Sound Based Reading and Writing Teaching Method: The Example of Sound Based Alif ba.Hatice Ayar - 2021 - Cumhuriyet İlahiyat Dergisi 25 (2):561-582.
    The Qurʾān was taught in the letter method for many years. After the names of the letters in the Arabic alphabet are memorized in this method, the teaching of origins and signs begins. The syllabic method was developed over time as an alternative to this method, and the letters were taught directly with their superior vowel signs without memorizing their names. Unlike these two methods, the sound-based alif ba method has begun to be used in (...)
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  26.  10
    Determining the Relativity of Word Meanings Through the Construction of Individualized Models of Semantic Memory.Brendan T. Johns - 2024 - Cognitive Science 48 (2):e13413.
    Distributional models of lexical semantics are capable of acquiring sophisticated representations of word meanings. The main theoretical insight provided by these models is that they demonstrate the systematic connection between the knowledge that people acquire and the experience that they have with the natural language environment. However, linguistic experience is inherently variable and differs radically across people due to demographic and cultural variables. Recently, distributional models have been used to examine how word meanings vary across languages and it was (...)
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  27.  30
    Probing the Representational Structure of Regular Polysemy via Sense Analogy Questions: Insights from Contextual Word Vectors.Jiangtian Li & Blair C. Armstrong - 2024 - Cognitive Science 48 (3):e13416.
    Regular polysemes are sets of ambiguous words that all share the same relationship between their meanings, such as CHICKEN and LOBSTER both referring to an animal or its meat. To probe how a distributional semantic model, here exemplified by bidirectional encoder representations from transformers (BERT), represents regular polysemy, we analyzed whether its embeddings support answering sense analogy questions similar to “is the mapping between CHICKEN (as an animal) and CHICKEN (as a meat) similar to that which maps between LOBSTER (...)
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  28. Comparing Methods for Single Paragraph Similarity Analysis.Benjamin Stone, Simon Dennis & Peter J. Kwantes - 2011 - Topics in Cognitive Science 3 (1):92-122.
    The focus of this paper is two-fold. First, similarities generated from six semantic models were compared to human ratings of paragraph similarity on two datasets—23 World Entertainment News Network paragraphs and 50 ABC newswire paragraphs. Contrary to findings on smaller textual units such as word associations (Griffiths, Tenenbaum, & Steyvers, 2007), our results suggest that when single paragraphs are compared, simple nonreductive models (word overlap and vector space) can provide better similarity estimates than more complex models (LSA, (...)
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  29.  22
    The Semantic Organization of the English Odor Vocabulary.Thomas Hörberg, Maria Larsson & Jonas K. Olofsson - 2022 - Cognitive Science 46 (11):e13205.
    The vocabulary for describing odors in English natural language is not well understood, as prior studies of odor descriptions have often relied on preselected descriptors and odor ratings. Here, we present a data-driven approach that automatically identifies English odor descriptors based on their degree of olfactory association, and derive their semantic organization from their distributions in natural texts, using a distributional-semantic language model. We identify 243 descriptors that are much more strongly associated with olfaction than English words in (...)
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  30. A cross-cultural assessment of the semantic dimensions of intellectual humility.Markus Christen, Mark Alfano & Brian Robinson - 2019 - AI and Society 34 (4):785-801.
    Intellectual humility can be broadly construed as being conscious of the limits of one’s existing knowledge and capable of acquiring more knowledge, which makes it a key virtue of the information age. However, the claim “I am humble” seems paradoxical in that someone who has the disposition in question would not typically volunteer it. Therefore, measuring intellectual humility via self-report may be methodologically unsound. As a consequence, we suggest analyzing intellectual humility semantically, using a psycholexical approach that focuses (...)
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  31.  44
    Internal Perception: The Role of Bodily Information in Concepts and Word Mastery.Luigi Pastore & Sara Dellantonio - 2017 - Berlin, Heidelberg: Springer Berlin Heidelberg. Edited by Luigi Pastore.
    Chapter 1 First Person Access to Mental States. Mind Science and Subjective Qualities -/- Abstract. The philosophy of mind as we know it today starts with Ryle. What defines and at the same time differentiates it from the previous tradition of study on mind is the persuasion that any rigorous approach to mental phenomena must conform to the criteria of scientificity applied by the natural sciences, i.e. its investigations and results must be intersubjectively and publicly controllable. In Ryle’s view, philosophy (...)
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  32.  62
    A Bayesian framework for knowledge attribution: Evidence from semantic integration.Derek Powell, Zachary Horne, Ángel Pinillos & Keith Holyoak - 2015 - Cognition 139 (C):92-104.
    We propose a Bayesian framework for the attribution of knowledge, and apply this framework to generate novel predictions about knowledge attribution for different types of “Gettier cases”, in which an agent is led to a justified true belief yet has made erroneous assumptions. We tested these predictions using a paradigm based on semantic integration. We coded the frequencies with which participants falsely recalled the word “thought” as “knew” (or a near synonym), yielding an implicit measure of conceptual (...)
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  33.  44
    Semantics for Knowledge and Change of Awareness.Hans van Ditmarsch & Tim French - 2014 - Journal of Logic, Language and Information 23 (2):169-195.
    We examine various logics that combine knowledge, awareness, and change of awareness. An agent can become aware of propositional propositions but also of other agents or of herself. The dual operation to becoming aware, forgetting, can also be modelled. Our proposals are based on a novel notion of structural similarity that we call awareness bisimulation, the obvious notion of modal similarity for structures encoding knowledge and awareness.
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  34.  14
    Emotion Analysis Based on Deep Learning With Application to Research on Development of Western Culture.Ming Chen - 2022 - Frontiers in Psychology 13.
    Cultural development is often reflected in the emotional expression of various cultural carriers, such as literary works, movies, etc. Therefore, the cultural development can be analyzed through emotion analysis of the text, so as to sort out its context and obtain its development dynamics. This paper proposes a text emotion analysis method based on deep learning. The traditional neural network model mainly deals with the classification task of short texts in the form of word vectors, which causes the model (...)
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  35.  36
    The Structure of Lughz and Muʿammā in Arabic Poetry: A Theoretical Overview on Ibn al-Fāriḍ’s Dīwān.Murat Tala - 2018 - Cumhuriyet İlahiyat Dergisi 22 (2):939-967.
    The tradition of Lughz and muʿammā in Arab poetry has an important place. Ibn al-Fāriḍ (d. 632/1235) is a divine love poet that lived in the Ayyubids period. He is an important point in the process of change and transformation of Arabic poetry language. This research aims to carry out a theoretical and anecdotal examination of the Lughzes in Ibn al-Fāriḍ’s Dīwān. The work explains, firstly, the concept of Lughz in terms of conceptual content and theoretical structure and summarizes its (...)
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  36. A semantic approach for knowledge capture of microRNA-target gene interactions.Jingshan Huang, Fernando Gutierrez, Dejing Dou, Judith A. Blake, Karen Eilbeck, Darren A. Natale, Barry Smith, Yu Lin, Xiaowei Wang & Zixing Liu - 2015 - In Jingshan Huang, Fernando Gutierrez, Dejing Dou, Judith A. Blake, Karen Eilbeck, Darren A. Natale, Barry Smith, Yu Lin, Xiaowei Wang & Zixing Liu (eds.), IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2015),. pp. 975-982.
    Research has indicated that microRNAs (miRNAs), a special class of non-coding RNAs (ncRNAs), can perform important roles in different biological and pathological processes. miRNAs’ functions are realized by regulating their respective target genes (targets). It is thus critical to identify and analyze miRNA-target interactions for a better understanding and delineation of miRNAs’ functions. However, conventional knowledge discovery and acquisition methods have many limitations. Fortunately, semantic technologies that are based on domain ontologies can render great assistance in this regard. (...)
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  37.  12
    Entity Linking Based on Sentence Representation.Bingjing Jia, Zhongli Wu, Pengpeng Zhou & Bin Wu - 2021 - Complexity 2021:1-9.
    Entity linking involves mapping ambiguous mentions in documents to the correct entities in a given knowledge base. Most existing methods failed to link when a mention appears multiple times in a document, since the conflict of its contexts in different locations may lead to difficult linking. Sentence representation, which has been studied based on deep learning approaches recently, can be used to resolve the above issue. In this paper, an effective entity linking model is proposed to capture the (...)
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  38. A multi-modal, cross-cultural study of the semantics of intellectual humility.Markus Christen, Mark Alfano & Brian Robinson - forthcoming - AI and Society.
    Intellectual humility can be broadly construed as being conscious of the limits of one’s existing knowledge and capable to acquire more knowledge, which makes it a key virtue of the information age. However, the claim “I am (intellectually) humble” seems paradoxical in that someone who has the disposition in question would not typically volunteer it. There is an explanatory gap between the meaning of the sentence and the meaning the speaker ex- presses by uttering it. We therefore suggest (...)
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  39.  12
    Attention-Based Deep Entropy Active Learning Using Lexical Algorithm for Mental Health Treatment.Usman Ahmed, Suresh Kumar Mukhiya, Gautam Srivastava, Yngve Lamo & Jerry Chun-Wei Lin - 2021 - Frontiers in Psychology 12.
    With the increasing prevalence of Internet usage, Internet-Delivered Psychological Treatment (IDPT) has become a valuable tool to develop improved treatments of mental disorders. IDPT becomes complicated and labor intensive because of overlapping emotion in mental health. To create a usable learning application for IDPT requires diverse labeled datasets containing an adequate set of linguistic properties to extract word representations and segmentations of emotions. In medical applications, it is challenging to successfully refine such datasets since emotion-aware labeling is time consuming. Other (...)
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  40.  72
    Sens Ja. Koncepcja podmiotu w filozofii indyjskiej (sankhja-joga).Jakubczak Marzenna - 2013 - Kraków, Poland: Ksiegarnia Akademicka.
    The Sense of I: Conceptualizing Subjectivity: In Indian Philosophy (Sāṃkhya-Yoga) This book discusses the sense of I as it is captured in the Sāṃkhya-Yoga tradition – one of the oldest currents of Indian philosophy, dating back to as early as the 7th c. BCE. The author offers her reinterpretation of the Yogasūtra and Sāṃkhyakārikā complemented with several commentaries, including the writings of Hariharānanda Ᾱraṇya – a charismatic scholar-monk believed to have re-established the Sāṃkhya-Yoga lineage in the early 20th century. The (...)
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  41.  17
    Semantic Cues Modulate Children’s and Adults’ Processing of Audio-Visual Face Mask Speech.Julia Schwarz, Katrina Kechun Li, Jasper Hong Sim, Yixin Zhang, Elizabeth Buchanan-Worster, Brechtje Post, Jenny Louise Gibson & Kirsty McDougall - 2022 - Frontiers in Psychology 13.
    During the COVID-19 pandemic, questions have been raised about the impact of face masks on communication in classroom settings. However, it is unclear to what extent visual obstruction of the speaker’s mouth or changes to the acoustic signal lead to speech processing difficulties, and whether these effects can be mitigated by semantic predictability, i.e., the availability of contextual information. The present study investigated the acoustic and visual effects of face masks on speech intelligibility and processing speed under varying (...) predictability. Twenty-six children and twenty-six adults performed an internet-based cued shadowing task, in which they had to repeat aloud the last word of sentences presented in audio-visual format. The results showed that children and adults made more mistakes and responded more slowly when listening to face mask speech compared to speech produced without a face mask. Adults were only significantly affected by face mask speech when both the acoustic and the visual signal were degraded. While acoustic mask effects were similar for children, removal of visual speech cues through the face mask affected children to a lesser degree. However, high semantic predictability reduced audio-visual mask effects, leading to full compensation of the acoustically degraded mask speech in the adult group. Even though children did not fully compensate for face mask speech with high semantic predictability, overall, they still profited from semantic cues in all conditions. Therefore, in classroom settings, strategies that increase contextual information such as building on students’ prior knowledge, using keywords, and providing visual aids, are likely to help overcome any adverse face mask effects. (shrink)
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  42. The Status of Arguments in Abstract Argumentation Frameworks. A Tableaux Method.Gustavo A. Bodanza & Enrique Hernández-Manfredini - 2023 - Manuscrito 46 (2):66-108.
    Dung’s argumentation frameworks are formalisms widely used to model interaction among arguments. Although their study has been profusely developed in the field of Artificial Intelligence, it is not common to see its treatment among those less connected to computer science within the logical-philosophical community. In this paper we propose to bring to that audience a proof-theory for argument justification based on tableaux, very similar to those the Logic students are familiar with. The tableaux enable to calculate whether an argument or (...)
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  43.  25
    Word Meaning Contributes to Free Recall Performance in Supraspan Verbal List-Learning Tests.Sandrine Cremona, Gaël Jobard, Laure Zago & Emmanuel Mellet - 2020 - Frontiers in Psychology 11.
    Supraspan verbal list-learning tests, such as the Rey Auditory Verbal Learning Test (RAVLT), are classic neuropsychological tests for assessing verbal memory. In this study, we investigated the impact of the meaning of the words to be learned on 3 memory stages (short-term recall, learning, and delayed recall) in a cohort of 447 healthy adults. First, we compared scores obtained from the RAVLT (word condition) to those of an alternative version of this test using phonologically similar but meaningless items (pseudoword condition) (...)
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  44. “Bamboozled by Our Own Words”: Semantic Blindness and Some Arguments Against Contextualism.Keith Derose - 2006 - Philosophy and Phenomenological Research 73 (2):316 - 338.
    The best grounds for accepting contextualism concerning knowledge attributions are to be found in how knowledge-attributing (and knowledge-denying) sentences are used in ordinary, nonphilosophical talk: What ordinary speakers will count as “knowledge” in some non-philosophical contexts they will deny is such in others. Contextualists typically appeal to pairs of cases that forcefully display the variability in the epistemic standards that govern ordinary usage: A “low standards” case (henceforth, “LOW”) in which a speaker seems quite appropriately and (...)
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  45.  14
    Predicting Hand Movements With Distributional Semantics: Evidence From Mouse‐Tracking.Daniele Gatti, Marco Marelli & Luca Rinaldi - 2024 - Cognitive Science 48 (1):e13372.
    Although mouse‐tracking has been taken as a real‐time window on different aspects of human decision‐making processes, whether purely semantic information affects response conflict at the level of motor output as measured through mouse movements is still unknown. Here, across two experiments, we investigated the effects of semantic knowledge by predicting participants’ performance in a standard keyboard task and in a mouse‐tracking task through distributional semantics, a usage‐based modeling approach to meaning. In Experiment 1, participants were shown word (...)
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    Philosophy of Communication: A Logico-conceptual Approach.Arto Mutanen - 2022 - Filosofija. Sociologija 33 (3).
    Communication is present among human societies. The philosophy of communication studies the foundational aspects of communication. In this paper, the intention is to study how knowledge, information and ideas can be shared in communication. As a starting point, a simple game of communication is characterised. The simple game shows that it is possible to share knowledge, information and ideas. However, in communication, several different linguistic means of expressions are used. So, we must extend the communication game to include (...)
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  47. The Logic of Knowledge Based Obligation.Eric Pacuit, Rohit Parikh & Eva Cogan - 2006 - Synthese 149 (2):311-341.
    Deontic Logic goes back to Ernst Mally’s 1926 work, Grundgesetze des Sollens: Elemente der Logik des Willens [Mally. E.: 1926, Grundgesetze des Sollens: Elemente der Logik des Willens, Leuschner & Lubensky, Graz], where he presented axioms for the notion ‘p ought to be the case’. Some difficulties were found in Mally’s axioms, and the field has much developed. Logic of Knowledge goes back to Hintikka’s work Knowledge and Belief [Hintikka, J.: 1962, Knowledge and Belief: An Introduction to (...)
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  48. In defence of Hume's historical method.Alix Cohen - 2005 - British Journal for the History of Philosophy 13 (3):489 – 502.
    A tradition among certain Hume scholars, best known as the ‘New Humeans’, proposes a novel reading of Hume’s work, and in particular of his conception of causality.2 The purpose of this paper is to conduct a similar move regarding Hume’s historical method. It is similar for two reasons: firstly, it is intended to reintegrate Hume’s theory into present-day debates on the nature of history; and secondly, the reading I propose is directed against the standard interpretation of Hume’s history. This (...)
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  49. An Evidence Fusion Method with Importance Discounting Factors based on Neutrosophic Probability Analysis in DSmT Framework.Qiang Guo, Haipeng Wang, You He, Yong Deng & Florentin Smarandache - 2017 - Neutrosophic Sets and Systems 17:64-73.
    To obtain effective fusion results of multi source evidences with different importance, an evidence fusion method with importance discounting factors based on neutrosopic probability analysis in DSmT framework is proposed. First, the reasonable evidence sources are selected out based on the statistical analysis of the pignistic probability functions of single focal elements. Secondly, the neutrosophic probability analysis is conducted based on the similarities of the pignistic probability functions from the prior evidence knowledge of the reasonable evidence sources. Thirdly, (...)
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    Serial Recall Order of Category Fluency Words: Exploring Its Neural Underpinnings.Matteo De Marco & Annalena Venneri - 2022 - Frontiers in Psychology 12.
    Background: Although performance on the category fluency test is influenced by many cognitive functions, item-level scoring methods of CFT performance might be a promising way to capture aspects of semantic memory that are less influenced by intervenient abilities. One such approach is based on the calculation of correlation coefficients that quantify the association between item-level features and the serial order with which words are recalled.Methods: We explored the neural underpinnings of 10 of these correlational indices in a sample (...)
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