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Journal articles on the topic 'Decompositional semantics'

Author: Grafiati

Published: 4 June 2021

Last updated: 20 February 2023

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1

Stengel-Eskin, Elias, Kenton Murray, Sheng Zhang, Aaron Steven White, and Benjamin Van Durme. "Joint Universal Syntactic and Semantic Parsing." Transactions of the Association for Computational Linguistics 9 (2021): 756–73. http://dx.doi.org/10.1162/tacl_a_00396.

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While numerous attempts have been made to jointly parse syntax and semantics, high performance in one domain typically comes at the price of performance in the other. This trade-off contradicts the large body of research focusing on the rich interactions at the syntax–semantics interface. We explore multiple model architectures that allow us to exploit the rich syntactic and semantic annotations contained in the Universal Decompositional Semantics (UDS) dataset, jointly parsing Universal Dependencies and UDS to obtain state-of-the-art results in both formalisms. We analyze the behavior of a jo

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Lazaridou, Angeliki, Georgiana Dinu, Adam Liska, and Marco Baroni. "From Visual Attributes to Adjectives through Decompositional Distributional Semantics." Transactions of the Association for Computational Linguistics 3 (December 2015): 183–96. http://dx.doi.org/10.1162/tacl_a_00132.

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As automated image analysis progresses, there is increasing interest in richer linguistic annotation of pictures, with attributes of objects (e.g., furry, brown…) attracting most attention. By building on the recent “zero-shot learning” approach, and paying attention to the linguistic nature of attributes as noun modifiers, and specifically adjectives, we show that it is possible to tag images with attribute-denoting adjectives even when no training data containing the relevant annotation are available. Our approach relies on two key observations. First, objects can be seen as bundles of attri

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3

Beard, Robert. "Decompositional composition: The semantics of scope ambiguities and ?bracketing paradoxes?" Natural Language and Linguistic Theory 9, no. 2 (1991): 195–229. http://dx.doi.org/10.1007/bf00134676.

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Gantt, William, Lelia Glass, and Aaron Steven White. "Decomposing and Recomposing Event Structure." Transactions of the Association for Computational Linguistics 10 (2022): 17–34. http://dx.doi.org/10.1162/tacl_a_00445.

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Abstract We present an event structure classification empirically derived from inferential properties annotated on sentence- and document-level Universal Decompositional Semantics (UDS) graphs. We induce this classification jointly with semantic role, entity, and event-event relation classifications using a document-level generative model structured by these graphs. To support this induction, we augment existing annotations found in the UDS1.0 dataset, which covers the entirety of the English Web Treebank, with an array of inferential properties capturing fine-grained aspects of the temporal a

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Dilparić, Branislava, and Nina Perović. "Models of lexical semantics in the algorithms for natural language processing." Zbornik radova Filozofskog fakulteta u Pristini 51, no. 1 (2021): 391–410. http://dx.doi.org/10.5937/zrffp51-30903.

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The aim of this study was to determine whether some of the approaches of lexical semantics for studying word meaning could be identified in word2vec and recurrent neural networks (RNN), the algorithms for natural language processing (NLP). Linguistic concepts from the field of lexical semantics were decompositional, holistic, and relational. Although it is assumed that algorithms for natural language processing cannot be written only on the basis of mathematical knowledge, but also linguistic, this analysis was carried out so as to determine the exact models used in the above-mentioned algorit

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Zanzotto, Fabio Massimo, Lorenzo Ferrone, and Marco Baroni. "When the Whole Is Not Greater Than the Combination of Its Parts: A “Decompositional” Look at Compositional Distributional Semantics." Computational Linguistics 41, no. 1 (2015): 165–73. http://dx.doi.org/10.1162/coli_a_00215.

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Distributional semantics has been extended to phrases and sentences by means of composition operations. We look at how these operations affect similarity measurements, showing that similarity equations of an important class of composition methods can be decomposed into operations performed on the subparts of the input phrases. This establishes a strong link between these models and convolution kernels.

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Shvets, Alexander, and Leo Wanner. "The Relation Dimension in the Identification and Classification of Lexically Restricted Word Co-Occurrences in Text Corpora." Mathematics 10, no. 20 (2022): 3831. http://dx.doi.org/10.3390/math10203831.

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The speech of native speakers is full of idiosyncrasies. Especially prominent are lexically restricted binary word co-occurrences of the type high esteem, strong tea, run [an] experiment, war break(s) out, etc. In lexicography, such co-occurrences are referred to as collocations. Due to their semi-decompositional nature, collocations are of high relevance to a large number of natural language processing applications as well as to second language learning. A substantial body of work exists on the automatic recognition of collocations in textual material and, increasingly also on their semantic

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Viberg, Åke. "Finding a model for contrastive lexical semantics: A look at verbal communication verbs." Linguistics Beyond and Within (LingBaW) 3 (December 30, 2017): 195–215. http://dx.doi.org/10.31743/lingbaw.5659.

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A basic problem for contrastive lexical studies in general is to find a model for the semantic analysis. This paper is one in a series of corpus-based contrastive studies of the field of Verbal Communication Verbs (VCVs) in English and Swedish. Searle’s classification of speech acts serves as an important starting point but is not directly concerned with lexical structure, which is a major concern for the two theories that are compared in this study. FrameNet based on Fillmore’s theory of semantic frames and Wierzbicka’s theory of semantic primitives (or “primes”). The theories are applied and

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Anderson, Curt. "Specification of methods and the semantics of method-oriented adverbs." Proceedings of the Linguistic Society of America 4, no. 1 (2019): 22. http://dx.doi.org/10.3765/plsa.v4i1.4529.

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Method-oriented adverbs have received comparatively little attention in the semantic literature on adverbs. I shed light on their semantics. These adverbs relate an event from the lexical semantics of their underlying adjective to the matrix event, and do so in a way similar to that of instruments. I use independently motivated event structure decompositions to model the interaction of adverb and verb. This study broadens our understanding of the semantics of adverbs, and how adverbial modifiers interact with the event structure of the verbs they modify.

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Ke, Qingchao, and Jian Lin. "Dynamic Generation of Knowledge Graph Supporting STEAM Learning Theme Design." Applied Sciences 12, no. 21 (2022): 11001. http://dx.doi.org/10.3390/app122111001.

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Instructional framework based on a knowledge graph makes up for the interdisciplinary theme design ability of teachers in a single discipline, to some extent, and provides a curriculum-oriented theme generation path for STEAM instructional design. This study proposed a dynamic completion model of a knowledge graph based on the subject semantic tensor decomposition. This model can be based on the tensor calculation of multi-disciplinary curriculum standard knowledge semantics to provide more reasonable STEAM project-based learning themes for teachers of those subjects. First, the STEAM multi-di

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McKoon, Gail, and Jessica Love. "Verbs in the lexicon: Why is hitting easier than breaking?" Language and Cognition 3, no. 2 (2011): 313–30. http://dx.doi.org/10.1515/langcog.2011.011.

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AbstractAdult speakers use verbs in syntactically appropriate ways. For example, they know implicitly that the boy hit at the fence is acceptable but the boy broke at the fence is not. We suggest that this knowledge is lexically encoded in semantic decompositions. The decomposition for break verbs (e.g. crack, smash) is hypothesized to be more complex than that for hit verbs (e.g. kick, kiss). Specifically, the decomposition of a break verb denotes that “an entity changes state as the result of some external force” whereas the decomposition for a hit verb denotes only that “an entity potential

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Carver, Andy, and Terry Halpin. "Atomicity and Semantic Normalization." International Journal of Information System Modeling and Design 1, no. 2 (2010): 23–39. http://dx.doi.org/10.4018/jismd.2010040102.

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This paper contrasts two different approaches to designing relational databases that are free of redundancy. The Object-Role Modeling (ORM) approach captures semantics in terms of atomic (elementary or existential) fact types, before grouping the fact types into relation schemes. Normalization by decomposition instead focuses on “non0loss decomposition” to various, and progressively more refined, “normal forms”. Traditionally, non0loss decomposition of a relation requires decomposition into smaller relations that, upon natural join, yield the exact original population. Non-loss decomposition o

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Lei, Shaoshuai, Gang Xie, and Gaowei Yan. "A Novel Key-Frame Extraction Approach for Both Video Summary and Video Index." Scientific World Journal 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/695168.

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Existing key-frame extraction methods are basically video summary oriented; yet the index task of key-frames is ignored. This paper presents a novel key-frame extraction approach which can be available for both video summary and video index. First a dynamic distance separability algorithm is advanced to divide a shot into subshots based on semantic structure, and then appropriate key-frames are extracted in each subshot by SVD decomposition. Finally, three evaluation indicators are proposed to evaluate the performance of the new approach. Experimental results show that the proposed approach ac

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Horasan, Fahrettin, Hasan Erbay, Fatih Varçın, and Emre Deniz. "Alternate Low-Rank Matrix Approximation in Latent Semantic Analysis." Scientific Programming 2019 (February 3, 2019): 1–12. http://dx.doi.org/10.1155/2019/1095643.

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The latent semantic analysis (LSA) is a mathematical/statistical way of discovering hidden concepts between terms and documents or within a document collection (i.e., a large corpus of text). Each document of the corpus and terms are expressed as a vector with elements corresponding to these concepts to form a term-document matrix. Then, the LSA uses a low-rank approximation to the term-document matrix in order to remove irrelevant information, to extract more important relations, and to reduce the computational time. The irrelevant information is called as “noise” and does not have a notewort

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Liu, Ling, and Sang-Bing Tsai. "Intelligent Recognition and Teaching of English Fuzzy Texts Based on Fuzzy Computing and Big Data." Wireless Communications and Mobile Computing 2021 (July 10, 2021): 1–10. http://dx.doi.org/10.1155/2021/1170622.

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In this paper, we conduct in-depth research and analysis on the intelligent recognition and teaching of English fuzzy text through parallel projection and region expansion. Multisense Soft Cluster Vector (MSCVec), a multisense word vector model based on nonnegative matrix decomposition and sparse soft clustering, is constructed. The MSCVec model is a monolingual word vector model, which uses nonnegative matrix decomposition of positive point mutual information between words and contexts to extract low-rank expressions of mixed semantics of multisense words and then uses sparse. It uses the non

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Li, Zhigang, Yinlin Hu, Mathieu Salzmann, and Xiangyang Ji. "SD-Pose: Semantic Decomposition for Cross-Domain 6D Object Pose Estimation." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 3 (2021): 2020–28. http://dx.doi.org/10.1609/aaai.v35i3.16298.

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The current leading 6D object pose estimation methods rely heavily on annotated real data, which is highly costly to acquire. To overcome this, many works have proposed to introduce computer-generated synthetic data. However, bridging the gap between the synthetic and real data remains a severe problem. Images depicting different levels of realism/semantics usually have different transferability between the synthetic and real domains. Inspired by this observation, we introduce an approach, SD-Pose, that explicitly decomposes the input image into multi-level semantic representations and then co

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Bruni, Roberto, Ugo Montanari, and Francesca Rossi. "An interactive semantics of logic programming." Theory and Practice of Logic Programming 1, no. 6 (2001): 647–90. http://dx.doi.org/10.1017/s1471068401000035.

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We apply to logic programming some recently emerging ideas from the field of reductionbased communicating systems, with the aim of giving evidence of the hidden interactions and the coordination mechanisms that rule the operational machinery of such a programming paradigm. The semantic framework we have chosen for presenting our results is tile logic, which has the advantage of allowing a uniform treatment of goals and observations and of applying abstract categorical tools for proving the results. As main contributions, we mention the finitary presentation of abstract unification, and a concu

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Monakhov, Sergei. "Russian prefixed verbs as constructional schemas." Russian Linguistics 45, no. 1 (2021): 45–73. http://dx.doi.org/10.1007/s11185-021-09238-1.

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AbstractThis study tests the morphological gradience theory on Russian prefixed verbs. With the help of a specially designed experiment, in which participants were asked to evaluate the semantic transparency of a prefixed nonse verb given in minimal context, as well as to semanticise it by suggesting an existing Russian verb with the same prefix, we offer evidence that these verbs can be analysed as constructional schemas and that the degree of their morphological decomposition depends upon the different levels of activation of their sequential and lexical links. We prove that speakers of Russ

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XU, CHENLIANG, RICHARD F. DOELL, STEPHEN JOSÉ HANSON, CATHERINE HANSON, and JASON J. CORSO. "A STUDY OF ACTOR AND ACTION SEMANTIC RETENTION IN VIDEO SUPERVOXEL SEGMENTATION." International Journal of Semantic Computing 07, no. 04 (2013): 353–75. http://dx.doi.org/10.1142/s1793351x13400114.

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Existing methods in the semantic computer vision community seem unable to deal with the explosion and richness of modern, open-source and social video content. Although sophisticated methods such as object detection or bag-of-words models have been well studied, they typically operate on low level features and ultimately suffer from either scalability issues or a lack of semantic meaning. On the other hand, video supervoxel segmentation has recently been established and applied to large scale data processing, which potentially serves as an intermediate representation to high level video semant

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Wang, Zhiming. "Program Semantics-based Task Decomposition." Journal of Physics: Conference Series 1684 (November 2020): 012051. http://dx.doi.org/10.1088/1742-6596/1684/1/012051.

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Bernstein, Arthur J., and Philip M. Lewis. "Transaction decomposition using transaction semantics." Distributed and parallel databases 4, no. 1 (1996): 25–47. http://dx.doi.org/10.1007/bf00122147.

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Das, Dipanjan, Desai Chen, André F. T. Martins, Nathan Schneider, and Noah A. Smith. "Frame-Semantic Parsing." Computational Linguistics 40, no. 1 (2014): 9–56. http://dx.doi.org/10.1162/coli_a_00163.

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Frame semantics is a linguistic theory that has been instantiated for English in the FrameNet lexicon. We solve the problem of frame-semantic parsing using a two-stage statistical model that takes lexical targets (i.e., content words and phrases) in their sentential contexts and predicts frame-semantic structures. Given a target in context, the first stage disambiguates it to a semantic frame. This model uses latent variables and semi-supervised learning to improve frame disambiguation for targets unseen at training time. The second stage finds the target's locally expressed semantic arguments

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Cheng, Shuli, Liejun Wang, and Anyu Du. "Deep Semantic-Preserving Reconstruction Hashing for Unsupervised Cross-Modal Retrieval." Entropy 22, no. 11 (2020): 1266. http://dx.doi.org/10.3390/e22111266.

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Deep hashing is the mainstream algorithm for large-scale cross-modal retrieval due to its high retrieval speed and low storage capacity, but the problem of reconstruction of modal semantic information is still very challenging. In order to further solve the problem of unsupervised cross-modal retrieval semantic reconstruction, we propose a novel deep semantic-preserving reconstruction hashing (DSPRH). The algorithm combines spatial and channel semantic information, and mines modal semantic information based on adaptive self-encoding and joint semantic reconstruction loss. The main contribution

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Wray, Samantha, Linnaea Stockall, and Alec Marantz. "Early Form-Based Morphological Decomposition in Tagalog: MEG Evidence from Reduplication, Infixation, and Circumfixation." Neurobiology of Language 3, no. 2 (2022): 235–55. http://dx.doi.org/10.1162/nol_a_00062.

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Abstract Neuro- and psycholinguistic experimentation supports the early decomposition of morphologically complex words within the ventral processing stream, which MEG has localized to the M170 response in the (left) visual word form area (VWFA). Decomposition into an exhaustive parse of visual morpheme forms extends beyond words like farmer to those imitating complexity (e.g., brother; Lewis et al., 2011), and to “unique” stems occurring in only one word but following the syntax and semantics of their affix (e.g., vulnerable; Gwilliams & Marantz, 2018). Evidence comes primarily from suffix

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Cotterell, Ryan, and Hinrich Schütze. "Joint Semantic Synthesis and Morphological Analysis of the Derived Word." Transactions of the Association for Computational Linguistics 6 (December 2018): 33–48. http://dx.doi.org/10.1162/tacl_a_00003.

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Much like sentences are composed of words, words themselves are composed of smaller units. For example, the English word questionably can be analyzed as question+ able+ ly. However, this structural decomposition of the word does not directly give us a semantic representation of the word’s meaning. Since morphology obeys the principle of compositionality, the semantics of the word can be systematically derived from the meaning of its parts. In this work, we propose a novel probabilistic model of word formation that captures both the analysis of a word w into its constituent segments and the syn

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Randles, Theodore J., Christopher D. Blades, and Adam Fadlalla. "The Knowledge Spectrum." International Journal of Knowledge Management 8, no. 2 (2012): 65–78. http://dx.doi.org/10.4018/jkm.2012040104.

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Like Chemistry’s Table of Elements, the Knowledge Spectrum organizes information about knowledge and supports the decomposition of intelligent behavior into its cognitive elements. Building on the Knowledge Combustion analogy, the Knowledge Spectrum places seven knowledge types on a continuum and explains the relation between information, pragmatic knowledge, and semantic knowledge. By explaining the influence of coordination, control, and semantics, the body/mind dichotomy of technical knowledge is extended. While the Knowledge Spectrum provides a static view of knowledge, its underlying prem

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Оvchinnikova, Galina V. "SEMANTIC SHIFTS IN THE COVIDETERMINOLOGICAL FIELD OF THE FRENCH MEDICAL TERMINOLOGICAL SYSTEM." Verhnevolzhski Philological Bulletin 22, no. 3 (2020): 119–23. http://dx.doi.org/10.20323/2499-9679-2020-3-22-118-122.

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The article first defines the concept of «co-terminological field» and establishes its place and function in the medical terminological system. The factual material based on special medical literature, media texts and lexicographic sources allows us to fill in the gap in the conceptual apparatus in the French medical discourse and clarify the definition of the medical term. Word-formation analysis and word-formation synthesis in combination with component decomposition of the seminal composition formed the basis of the methodology for studying the structure and semantics of Covid terms in mode

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Žanić, Joško. "The geometry vs. the algebra of meaning." Jezikoslovlje 22, no. 1 (2021): 77–98. http://dx.doi.org/10.29162/jez.2021.3.

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In this paper Gärdenfors’s geometric approach to meaning in natural language is compared to Jackendoff's algebraic one, and this is done against the backdrop of formal semantics. Ultimately, the paper tries to show that Jackendoff's framework is to be preferred to all others. The paper proceeds as follows. In Section 2, the common theoretical commitments of Gärdenfors and Jackendoff are outlined, and it is attempted to argue briefly that they are on the right track. In Section 3, the basics of the two frameworks to be compared are laid out, and it is assessed how they deal with some central is

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Hu, Pingbo, Yiming Miao, and Miaole Hou. "Reconstruction of Complex Roof Semantic Structures from 3D Point Clouds Using Local Convexity and Consistency." Remote Sensing 13, no. 10 (2021): 1946. http://dx.doi.org/10.3390/rs13101946.

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Three-dimensional (3D) building models are closely related to human activities in urban environments. Due to the variations in building styles and complexity in roof structures, automatically reconstructing 3D buildings with semantics and topology information still faces big challenges. In this paper, we present an automated modeling approach that can semantically decompose and reconstruct the complex building light detection and ranging (LiDAR) point clouds into simple parametric structures, and each generated structure is an unambiguous roof semantic unit without overlapping planar primitive

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Coniglio, Marcelo E., Aldo Figallo-Orellano, and Ana Claudia Golzio. "Non-deterministic algebraization of logics by swap structures1." Logic Journal of the IGPL 28, no. 5 (2018): 1021–59. http://dx.doi.org/10.1093/jigpal/jzy072.

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Abstract Multialgebras (or hyperalgebras or non-deterministic algebras) have been much studied in mathematics and in computer science. In 2016 Carnielli and Coniglio introduced a class of multialgebras called swap structures, as a semantic framework for dealing with several Logics of Formal Inconsistency (or LFIs) that cannot be semantically characterized by a single finite matrix. In particular, these LFIs are not algebraizable by the standard tools of abstract algebraic logic. In this paper, the first steps towards a theory of non-deterministic algebraization of logics by swap structures are

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31

Gustas, Remigijus. "A Look Behind Conceptual Modeling Constructs in Information System Analysis and Design." International Journal of Information System Modeling and Design 1, no. 1 (2010): 79–108. http://dx.doi.org/10.4018/jismd.2010092304.

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Information systems can be conceptualized in a number of ways. Most methodologies propose to analyze separately process and data semantics by projecting them into totally different diagram types. This system analysis and design tradition is very strong in most modeling approaches such as structured analysis as well as object-oriented design. Structural and behavioral aspects are complementary. They cannot be analyzed in isolation. Lack of a conceptual modeling approach, which can be used for verification of semantic integrity among various types of diagrams, is the cornerstone of frustration f

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FÄHNDRICH, Johannes, Sebastian AHRNDT, and Sahin ALBAYRAK. "Formal Language Decomposition into Semantic Primes." ADCAIJ: ADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL 3, no. 8 (2014): 56. http://dx.doi.org/10.14201/adcaij2014385673.

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Cremers, Daniel. "Optimal solutions for semantic image decomposition." Image and Vision Computing 30, no. 8 (2012): 476–77. http://dx.doi.org/10.1016/j.imavis.2011.12.011.

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Durie, Mark. "Semantic decomposition of four Quranic words." Russian Journal of Linguistics 26, no. 4 (2022): 937–69. http://dx.doi.org/10.22363/2687-0088-30779.

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In this paper, the author proposes Natural Semantic Metalanguage (NSM) semantic decompositions of four difficult-to-translate quranic Arabic words using Natural Semantic Metalanguage (Goddard Wierzbicka 2014, Wierzbicka 2021). This is the first study to propose an explicit semantic explication of these core Islamic lexical items, which are foundational for the spiritual worldview of the almost two billion followers of Islam in the world today. The first word considered is rasūl , which refers to intermediaries sent by Allah to humans and is used in the Quran alongside nabī , which has almost t

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GOTOH, YOSHIHIKO, and STEVE RENALS. "Topic-based mixture language modelling." Natural Language Engineering 5, no. 4 (1999): 355–75. http://dx.doi.org/10.1017/s1351324900002278.

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This paper describes an approach for constructing a mixture of language models based on simple statistical notions of semantics using probabilistic models developed for information retrieval. The approach encapsulates corpus-derived semantic information and is able to model varying styles of text. Using such information, the corpus texts are clustered in an unsupervised manner and a mixture of topic-specific language models is automatically created. The principal contribution of this work is to characterise the document space resulting from information retrieval techniques and to demonstrate t

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KARLSSON, Jens. "Linguistic Temporality, Logical Meaning and Narrative Perspectives: Adverbs /zai/ and /you/ in Modern Standard Chinese." Acta Linguistica Asiatica 1, no. 2 (2011): 25–38. http://dx.doi.org/10.4312/ala.1.2.25-38.

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In this paper is presented an inquiry into some aspects of the meaning and usage of two temporal adverbs zai (再) and you (又) in Modern Standard Chinese. A decompositional analysis of the semantic encoding of the adverbs is conducted, aiming to better explain their recorded differences in usage. First, a sketch of some of the fundamental features of linguistic temporality is provided in order to model the structure of temporal semantic information encoded in the adverbs. Non-temporal (logical) meaning such as assertion and inference is also shown to be an important aspect of the semantic conten

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Ruiz de Mendoza Ibáñez, Francisco José, and Ricardo Mairal Usón. "Challenging Systems of Lexical Representation." Journal of English Studies 5 (May 29, 2008): 325. http://dx.doi.org/10.18172/jes.136.

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The aim of this paper is to offer an overview of some of the most relevant heuristic parameters that have been used for the organization of the lexicon in a representative sample of formal, functional and cognitive models. In connection with this, we address the following theoretical issues: (i) the nature of the metalanguage that should be used as part of a lexical representation theory; (ii) the actual scope of the representation, that is, whether a lexical entry should only capture those aspects of the word that have syntactic visibility or should go beyond that and include richer semantic

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Panda, Priyadarshini, Swagath Venkataramani, Abhronil Sengupta, Anand Raghunathan, and Kaushik Roy. "Energy-Efficient Object Detection Using Semantic Decomposition." IEEE Transactions on Very Large Scale Integration (VLSI) Systems 25, no. 9 (2017): 2673–77. http://dx.doi.org/10.1109/tvlsi.2017.2707077.

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Soliman, Hatem, Izhar Ahmed Khan, and Yasir Hussain. "Global Sensitivity Analysis for Fuzzy RDF Data." International Journal of Software Engineering and Knowledge Engineering 31, no. 08 (2021): 1119–44. http://dx.doi.org/10.1142/s0218194021500352.

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The resource description framework (RDF) was adopted by the World Wide Web (W3C) as an essential semantic web standard and the RDF scheme. It accords the hard semantics in the description and wields the crisp metadata. However, it usually produces vague or ambiguous information. Consequently, fuzzy RDF helps deal with such special data by transforming the crisp values into a fuzzy set. A method for analyzing fuzzy RDF data is proposed in this paper. To this end, first, we decompose the RDF into fuzzy RDF variables. Second, we are designing a model for global sensitivity analysis based on the d

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Aula, Munib. "شعر"دع الأيام" في ديوان الإمام الشافعى (دراسة تحليلية السيميائية لشارلز موريس)". ALLAIS Journal of Arabic Language and Literature 1, № 1 (2022): 84–98. http://dx.doi.org/10.22515/allais.v1i1.5545.

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This study focuses on الإمام Syafi'i's poem entitled "Da'il Ayyam" with the semotic analysis of Charles Morris. This study aims to determine and describe the meaning of the sign contained in the poem "Da'il Ayyam" written by Imam Al-Shafi'i. This research is a descriptive-analytical research, which is a systematic decomposition of the data obtained, providing understanding and interpretation so that readers can understand it well. without intending to draw general conclusions or generalizations. In this thesis, the researcher concludes that according to Morris's semiotic theory, from the gener

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Ullah, Farhan, Xiaochun Cheng, Leonardo Mostarda, and Sohail Jabbar. "Android-IoT Malware Classification and Detection Approach Using Deep URL Features Analysis." Journal of Database Management 34, no. 2 (2023): 1–26. http://dx.doi.org/10.4018/jdm.318414.

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Currently, malware attacks pose a high risk to compromise the security of Android-IoT apps. These threats have the potential to steal critical information, causing economic, social, and financial harm. Because of their constant availability on the network, Android apps are easily attacked by URL-based traffic. In this paper, an Android malware classification and detection approach using deep and broad URL feature mining is proposed. This study entails the development of a novel traffic data preprocessing and transformation method that can detect malicious apps using network traffic analysis. T

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Luttik, Bas. "Unique parallel decomposition in branching and weak bisimulation semantics." Theoretical Computer Science 612 (January 2016): 29–44. http://dx.doi.org/10.1016/j.tcs.2015.10.013.

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Zhu, Guicun, Meihui Hao, Changlong Zheng, and Linlin Wang. "Design of Knowledge Graph Retrieval System for Legal and Regulatory Framework of Multilevel Latent Semantic Indexing." Computational Intelligence and Neuroscience 2022 (July 19, 2022): 1–11. http://dx.doi.org/10.1155/2022/6781043.

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Latent semantic analysis (LSA) is a natural language statistical model, which is considered as a method to acquire, generalize, and represent knowledge. Compared with other retrieval models based on concept dictionaries or concept networks, the retrieval model based on LSA has the advantages of strong computability and less human participation. LSA establishes a latent semantic space through truncated singular value decomposition. Words and documents in the latent semantic space are projected onto the dimension representing the latent concept, and then the semantic relationship between words c

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Cecílio Magnaguagno, Maurício, and Felipe Meneguzzi. "Semantic Attachments for HTN Planning." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 06 (2020): 9933–40. http://dx.doi.org/10.1609/aaai.v34i06.6548.

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Hierarchical Task Networks (HTN) planning uses a decomposition process guided by domain knowledge to guide search towards a planning task. While many HTN planners allow calls to external processes (e.g. to a simulator interface) during the decomposition process, this is a computationally expensive process, so planner implementations often use such calls in an ad-hoc way using very specialized domain knowledge to limit the number of calls. Conversely, the classical planners that are capable of using external calls (often called semantic attachments) during planning are limited to generating a f

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Gaggl, Sarah Alice, Sebastian Rudolph, and Hannes Straß. "On the Decomposition of Abstract Dialectical Frameworks and the Complexity of Naive-based Semantics." Journal of Artificial Intelligence Research 70 (January 4, 2021): 1–64. http://dx.doi.org/10.1613/jair.1.11348.

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Abstract dialectical frameworks (ADFs) are a recently introduced powerful generalization of Dung’s popular abstract argumentation frameworks (AFs). Inspired by similar work for AFs, we introduce a decomposition scheme for ADFs, which proceeds along the ADF’s strongly connected components. We find that, for several semantics, the decompositionbased version coincides with the original semantics, whereas for others, it gives rise to a new semantics. These new semantics allow us to deal with pertinent problems such as odd-length negative cycles in a more general setting, that for instance also enc

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46

Gaggl, Sarah Alice, Sebastian Rudolph, and Hannes Straß. "On the Decomposition of Abstract Dialectical Frameworks and the Complexity of Naive-based Semantics." Journal of Artificial Intelligence Research 70 (January 4, 2021): 1–64. http://dx.doi.org/10.1613/jair.1.11348.

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Abstract:

Abstract dialectical frameworks (ADFs) are a recently introduced powerful generalization of Dung’s popular abstract argumentation frameworks (AFs). Inspired by similar work for AFs, we introduce a decomposition scheme for ADFs, which proceeds along the ADF’s strongly connected components. We find that, for several semantics, the decompositionbased version coincides with the original semantics, whereas for others, it gives rise to a new semantics. These new semantics allow us to deal with pertinent problems such as odd-length negative cycles in a more general setting, that for instance also enc

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47

Kounios, John, Elizabeth C. Montgomery, and Roderick W. Smith. "Semantic memory and the granularity of semantic relations: Evidence from speed-accuracy decomposition." Memory & Cognition 22, no. 6 (1994): 729–41. http://dx.doi.org/10.3758/bf03209258.

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Schwarz, Carlo. "lsemantica: A command for text similarity based on latent semantic analysis." Stata Journal: Promoting communications on statistics and Stata 19, no. 1 (2019): 129–42. http://dx.doi.org/10.1177/1536867x19830910.

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In this article, I present the lsemantica command, which implements latent semantic analysis in Stata. Latent semantic analysis is a machine learning algorithm for word and text similarity comparison and uses truncated singular value decomposition to derive the hidden semantic relationships between words and texts. lsemantica provides a simple command for latent semantic analysis as well as complementary commands for text similarity comparison.

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Meunier, Fanny, and Catherine-Marie Longtin. "Morphological decomposition and semantic integration in word processing☆." Journal of Memory and Language 56, no. 4 (2007): 457–71. http://dx.doi.org/10.1016/j.jml.2006.11.005.

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Yang, Haitong, Yu Zhou, and Chengqing Zong. "Bilingual Semantic Role Labeling Inference via Dual Decomposition." ACM Transactions on Asian and Low-Resource Language Information Processing 15, no. 3 (2016): 1–21. http://dx.doi.org/10.1145/2835493.

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