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Relevant bibliographies by topics / Computational cognitive semantics

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Academic literature on the topic 'Computational cognitive semantics'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2022

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Journal articles on the topic "Computational cognitive semantics"

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WANG, YINGXU. "ON FORMAL AND COGNITIVE SEMANTICS FOR SEMANTIC COMPUTING." International Journal of Semantic Computing 04, no. 02 (2010): 203–37. http://dx.doi.org/10.1142/s1793351x10000833.

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Semantics is the meaning of symbols, notations, concepts, functions, and behaviors, as well as their relations that can be deduced onto a set of predefined entities and/or known concepts. Semantic computing is an emerging computational methodology that models and implements computational structures and behaviors at semantic or knowledge level beyond that of symbolic data. In semantic computing, formal semantics can be classified into the categories of to be, to have, and to do semantics. This paper presents a comprehensive survey of formal and cognitive semantics for semantic computing in the

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Evans, Hywel. "Simpler semantics for computational and cognitive linguistics." Investigationes Linguisticae 41 (December 11, 2019): 17–31. http://dx.doi.org/10.14746/il.2018.41.2.

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Certain consequences are considered regarding a simpler, more cognitively plausible treatment of semantics in SignBased Construction Grammar, a cognitive, unification- based theory of language. It is proposed that a construction grammar may be able to improve its coverage of core linguistic phenomena in line with minimalist goals (Chomsky 1993). Suggestions are offered regarding relative clauses and wh-expressions to show that a more straightforward account is available, one that allows a unified treatment of scope for quantifiers and wh-expressions.

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Dietrich, Eric. "Semantics and the computational paradigm in cognitive psychology." Synthese 79, no. 1 (1989): 119–41. http://dx.doi.org/10.1007/bf00873258.

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Clarke, Alex, Barry J. Devereux, and Lorraine K. Tyler. "Oscillatory Dynamics of Perceptual to Conceptual Transformations in the Ventral Visual Pathway." Journal of Cognitive Neuroscience 30, no. 11 (2018): 1590–605. http://dx.doi.org/10.1162/jocn_a_01325.

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Object recognition requires dynamic transformations of low-level visual inputs to complex semantic representations. Although this process depends on the ventral visual pathway, we lack an incremental account from low-level inputs to semantic representations and the mechanistic details of these dynamics. Here we combine computational models of vision with semantics and test the output of the incremental model against patterns of neural oscillations recorded with magnetoencephalography in humans. Representational similarity analysis showed visual information was represented in low-frequency acti

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Sowa, John F. "From Existential Graphs to Conceptual Graphs." International Journal of Conceptual Structures and Smart Applications 1, no. 1 (2013): 39–72. http://dx.doi.org/10.4018/ijcssa.2013010103.

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Existential graphs (EGs) are a simple, readable, and expressive graphic notation for logic. Conceptual graphs (CGs) combine a logical foundation based on EGs with features of the semantic networks used in artificial intelligence and computational linguistics. CG design principles address logical, linguistic, and cognitive requirements: a formal semantics defined by the ISO standard for Common Logic; the flexibility to support the expressiveness, context dependencies, and metalevel commentary of natural language; and cognitively realistic operations for reasoning by induction, deduction, abduct

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Wang, Yingxu, Yousheng Tian, and Kendal Hu. "Semantic Manipulations and Formal Ontology for Machine Learning based on Concept Algebra." International Journal of Cognitive Informatics and Natural Intelligence 5, no. 3 (2011): 1–29. http://dx.doi.org/10.4018/ijcini.2011070101.

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Towards the formalization of ontological methodologies for dynamic machine learning and semantic analyses, a new form of denotational mathematics known as concept algebra is introduced. Concept Algebra (CA) is a denotational mathematical structure for formal knowledge representation and manipulation in machine learning and cognitive computing. CA provides a rigorous knowledge modeling and processing tool, which extends the informal, static, and application-specific ontological technologies to a formal, dynamic, and general mathematical means. An operational semantics for the calculus of CA is

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Neuman, Yair, Yochai Cohen, and Dan Assaf. "How do we understand the meaning of connotations? A cognitive computational model." Semiotica 2015, no. 205 (2015): 1–16. http://dx.doi.org/10.1515/sem-2015-0013.

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AbstractDenotation is the literal sense of a word, while connotation is its extended sense. The current paper presents a cognitive computational model of the adjective’s connotation (e.g., sweet baby). We tested the model by developing a novel algorithm – ConnoSense – that identifies the sense of an attribute’s connotation. More specifically, ConnoSense identifies the sense of an attribute such as in the case of a “sweet smile” where the attribute/adjective “sweet” is used in the sense of “friendly.” Tested on a multiple-choice test of identifying the sense of a connotation (e.g., “dark though

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Feldman, Jerome A. "Advances in Embodied Construction Grammar." Constructions and Frames 12, no. 1 (2020): 149–69. http://dx.doi.org/10.1075/cf.00038.fel.

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Abstract This paper describes the continuing goals and present status of the ICSI/UC Berkeley efforts on Embodied Construction Grammar (ECG). ECG is semantics-based formalism grounded in cognitive linguistics. ECG is the most explicitly inter-disciplinary of the construction grammars with deep links to computation, neuroscience, and cognitive science. Work continues on core cognitive, computational, and linguistic issues, including aspects of the mind/body problem. Much of the recent emphasis has been on applications and on tools to facilitate new applications. Extensive documentation plus dow

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Lenci, Alessandro. "Spazi di parole: metafore e rappresentazioni semantiche." PARADIGMI, no. 1 (May 2009): 83–100. http://dx.doi.org/10.3280/para2009-001007.

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- The aim of this paper is to analyse the analogy of the lexicon with a space defined by words, which is common to a number of computational models of meaning in cognitive science. This can be regarded as a case of constitutive scientific metaphor in the sense of Boyd (1979) and is grounded in the so-called Distributional Hypothesis, stating that the semantic similarity between two words is a function of the similarity of the linguistic contexts in which they typically co-occur. The meaning of words is represented in terms of their topological relations in a high-dimensional space, defined by

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Schneider, Nathan. "Computational Cognitive Morphosemantics: Modeling Morphological Compositionality in Hebrew Verbs with Embodied Construction Grammar." Annual Meeting of the Berkeley Linguistics Society 36, no. 1 (2010): 353. http://dx.doi.org/10.3765/bls.v36i1.3923.

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In lieu of an abstract, here is a brief excerpt:This paper brings together the theoretical framework of construction grammar and studies of verbs in Modern Hebrew to furnish an analysis integrating the form and meaning components of morphological structure. In doing so, this work employs and extends Embodied Construction Grammar (ECG; Bergen and Chang 2005), a computational formalism developed to study grammar from a cognitive linguistic perspective. In developing a formal analysis of Hebrew verbs (section 3), I adapt ECG—until now a lexical/syntactic/semantic formalism—to account for the comp

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Dissertations / Theses on the topic "Computational cognitive semantics"

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Hockey, Andrew. "Computational modelling of the language production system : semantic memory, conflict monitoring, and cognitive control processes /." [St. Lucia, Qld.], 2006. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe20099.pdf.

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Ali, Ismael Ali. "Using and Improving Computational Cognitive Models for Graph-Based Semantic Learning and Representation from Unstructured Text with Applications." Kent State University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=kent1524217759138453.

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Iyer, Laxmi R. "CANDID - A Neurodynamical Model of Idea Generation." University of Cincinnati / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1326828617.

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Frost, Jamie. "Spatially motivated dialogue for a pedestrian robot." Thesis, University of Oxford, 2012. http://ora.ox.ac.uk/objects/uuid:a5c33213-c5b5-489a-9271-5a1b5aa89aab.

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In the field of robotics, there has recently been tremendous progress in the development of autonomous robots that offer various services to their users. Most of the systems developed so far, however, are restricted to indoor scenarios, non-urban outdoor environments, or road usage with cars. There is a serious lack of capabilities of mobile robots to navigate safely in highly populated outdoor environments. This ability, however, is a key competence for a series of robotic applications. We consider the task of developing a spatially motivated dialogue system that can operate on a robotic plat

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Armstrong, Anna-Marie. "Unconscious processing at the subjective threshold : semantic comprehension?" Thesis, University of Sussex, 2014. http://sro.sussex.ac.uk/id/eprint/51557/.

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Our thoughts and behaviours can sometimes be influenced by stimuli that we are not consciously aware of having seen. For example, the presentation of a word that is blocked from entering conscious visual perception through masking can subsequently influence the cognitive processing of a further target word. However, the idea that unconscious cognition is sophisticated enough to process the semantic meaning of subliminal stimuli is controversial. This thesis attempts to explore the extent of subliminal priming. Empirical research centering on subjective methods of measuring conscious knowledge

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Dobnik, Simon. "Teaching mobile robots to use spatial words." Thesis, University of Oxford, 2009. http://ora.ox.ac.uk/objects/uuid:d3e8d606-212b-4a8e-ba9b-9c59cfd3f485.

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The meaning of spatial words can only be evaluated by establishing a reference to the properties of the environment in which the word is used. For example, in order to evaluate what is to the left of something or how fast is fast in a given context, we need to evaluate properties such as the position of objects in the scene, their typical function and behaviour, the size of the scene and the perspective from which the scene is viewed. Rather than encoding the semantic rules that define spatial expressions by hand, we developed a system where such rules are learned from descriptions produced by

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Ivensky, Ilya. "Prediction of Alzheimer's disease and semantic dementia from scene description: toward better language and topic generalization." Thesis, 2020. http://hdl.handle.net/1866/24317.

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La segmentation des données par la langue et le thème des tests psycholinguistiques devient de plus en plus un obstacle important à la généralisation des modèles de prédiction. Cela limite notre capacité à comprendre le cœur du dysfonctionnement linguistique et cognitif, car les modèles sont surajustés pour les détails d'une langue ou d'un sujet particulier. Dans ce travail, nous étudions les approches potentielles pour surmonter ces limitations. Nous discutons des propriétés de divers modèles de plonjement de mots FastText pour l'anglais et le français et proposons un ensemble des caractéris

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Books on the topic "Computational cognitive semantics"

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Coventry, Kenny R. Spatial Language: Cognitive and Computational Perspectives. Springer Netherlands, 2002.

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Quantitative methods in cognitive semantics: Corpus-driven approaches. De Gruyter Mouton, 2010.

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Glynn, Dylan, and Justyna A. Robinson. Corpus methods for semantics: Quantitative studies in polysemy and synonymy. John Benjamins Publishing Company, 2014.

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Holmqvist, Kenneth B. I. Implementing cognitive semantics: Image schemata, valence accommodation and valence suggestion for AI and computational linguistics. Dept. of Cognitive Science, Lund University, 1993.

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Halliday, M. A. K. Construing experience through meaning: A language-based approach to cognition. Continuum, 1999.

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Matthiessen, Christian M. I. M., ed. Construing experience through meaning: A language-based approach to cognition. Continuum, 1999.

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Helbig, Hermann. Knowledge representation and the semantics of natural language: With 258 figures, 23 tables and CD-ROM. Springer, 2006.

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Hemforth, Barbara. Kognitives Parsing: Repräsentation und Verarbeitung sprachlichen Wissens. Infix, 1993.

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The semantic sphere 1: Computation, cognition, and information economy. ISTE, 2011.

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Kuczynski, John-Michael. Conceptual atomism and the computational theory of mind: A defense of content-internalism and semantic externalism. John Benjamins Pub. Co., 2007.

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Book chapters on the topic "Computational cognitive semantics"

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Hausser, Roland. "Cognitive foundations of semantics." In Foundations of Computational Linguistics. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04337-0_4.

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Hausser, Roland. "Cognitive Foundations of Semantics." In Foundations of Computational Linguistics. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-41431-2_3.

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Hausser, Roland. "Cognitive foundation of semantics." In Foundations of Computational Linguistics. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-662-03920-5_4.

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Ismailova, Larisa Yu, Viacheslav E. Wolfengagen, and Sergey V. Kosikov. "A Computational Model for Supporting Access Policies to Semantic Web." In Biologically Inspired Cognitive Architectures 2018. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99316-4_19.

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Mohamed Ben Ali, Yamina. "VICAL: Visual Cognitive Architecture to Understanding Image Semantic Content." In Studies in Computational Intelligence. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15211-5_33.

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Connor, Michael, Cynthia Fisher, and Dan Roth. "Starting from Scratch in Semantic Role Labeling: Early Indirect Supervision." In Cognitive Aspects of Computational Language Acquisition. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31863-4_10.

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Ogiela, Marek R., Ryszard Tadeusiewicz, and Lidia Ogiela. "Intelligent Semantic Information Retrieval in Medical Pattern Cognitive Analysis." In Computational Science and Its Applications – ICCSA 2005. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11424925_89.

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Chohra, Amine, Kurosh Madani, and Dalel Kanzari. "Fuzzy Cognitive and Social Negotiation Agent Strategy for Computational Collective Intelligence." In Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04441-0_22.

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Fetisova, Alena A., and Alexander V. Vartanov. "Semantic Space and Homonymous Words." In Advances in Neural Computation, Machine Learning, and Cognitive Research II. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01328-8_30.

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Kuhn, Werner. "An Algebraic Interpretation of Semantic Networks." In Spatial Information Theory. Cognitive and Computational Foundations of Geographic Information Science. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48384-5_22.

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Conference papers on the topic "Computational cognitive semantics"

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Chen, Ping, Wei Ding, and Chengmin Ding. "SenseNet: A Knowledge Representation Model for Computational Semantics." In 2006 5th IEEE International Conference on Cognitive Informatics. IEEE, 2006. http://dx.doi.org/10.1109/coginf.2006.365528.

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Schuler, William, and Adam Wheeler. "Cognitive Compositional Semantics using Continuation Dependencies." In Proceedings of the Third Joint Conference on Lexical and Computational Semantics (*SEM 2014). Association for Computational Linguistics and Dublin City University, 2014. http://dx.doi.org/10.3115/v1/s14-1018.

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Khan, Emdad. "Machine Learning Algorithms for Natural Language Semantics and Cognitive Computing." In 2016 International Conference on Computational Science and Computational Intelligence (CSCI). IEEE, 2016. http://dx.doi.org/10.1109/csci.2016.0217.

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Olivier, Patrick, and Jun-ichi Tsujii. "A computational view of the cognitive semantics of spatial prepositions." In the 32nd annual meeting. Association for Computational Linguistics, 1994. http://dx.doi.org/10.3115/981732.981774.

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Branco, António, João António Rodrigues, Malgorzata Salawa, Ruben Branco, and Chakaveh Saedi. "Comparative Probing of Lexical Semantics Theories for Cognitive Plausibility and Technological Usefulness." In Proceedings of the 28th International Conference on Computational Linguistics. International Committee on Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.coling-main.354.

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Branco, António, João António Rodrigues, Malgorzata Salawa, Ruben Branco, and Chakaveh Saedi. "Comparative Probing of Lexical Semantics Theories for Cognitive Plausibility and Technological Usefulness." In Proceedings of the 28th International Conference on Computational Linguistics. International Committee on Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.coling-main.354.

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Savinelli, K. J., Greg Scontras, and Lisa Pearl. "Exactly two things to learn from modeling scope ambiguity resolution: Developmental continuity and numeral semantics." In Proceedings of the 8th Workshop on Cognitive Modeling and Computational Linguistics (CMCL 2018). Association for Computational Linguistics, 2018. http://dx.doi.org/10.18653/v1/w18-0108.

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Ibáñez-García, Yazmín, Víctor Gutiérrez-Basulto, and Steven Schockaert. "Plausible Reasoning about EL-Ontologies using Concept Interpolation." In 17th International Conference on Principles of Knowledge Representation and Reasoning {KR-2020}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/kr.2020/51.

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Description logics (DLs) are standard knowledge representation languages for modelling ontologies, i.e. knowledge about concepts and the relations between them. Unfortunately, DL ontologies are difficult to learn from data and time-consuming to encode manually. As a result, ontologies for broad domains are almost inevitably incomplete. In recent years, several data-driven approaches have been proposed for automatically extending such ontologies. One family of methods rely on characterizations of concepts that are derived from text descriptions. While such characterizations do not capture ontol

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Ali, Ismael, and Austin Melton. "Computational Cognitive-Semantic Based Semantic Learning, Representation and Growth: A Perspective." In 2019 IEEE 18th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC). IEEE, 2019. http://dx.doi.org/10.1109/iccicc46617.2019.9146068.

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Alevi, Denis, Richard Kempter, and Henning Sprekeler. "From episodic to semantic memory: A computational model." In 2019 Conference on Cognitive Computational Neuroscience. Cognitive Computational Neuroscience, 2019. http://dx.doi.org/10.32470/ccn.2019.1434-0.

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