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Journal articles on the topic 'Semantic association'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Patel, Ritul, Dhaval Bhoi, and Dr Amit Thakkar. "Aspect Category Detection." Computer Science & Engineering: An International Journal 12, no. 1 (2022): 113–24. http://dx.doi.org/10.5121/cseij.2022.12112.

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The major subtask of Sentiment analysis based on aspects (ABSA) is the category of aspectdetection (ACD). Due to the subjectivity inherent in categorizing, as well as the occurrence of overlapping classes, it is a difficult challenge to solve. Rule-based techniques, as well as other machine learning approaches, have been used to tackle ACD, and a majority of them are statistical behavior. We employed an association rulebased method in this article. We developed a mixed principle strategy that incorporates both association rule mining and semantics associations to address the statistical limita

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Luzzatti, Claudio, Ilaria Mauri, Stefania Castiglioni, et al. "Evaluating Semantic Knowledge Through a Semantic Association Task in Individuals With Dementia." American Journal of Alzheimer's Disease & Other Dementiasr 35 (January 1, 2020): 153331752091729. http://dx.doi.org/10.1177/1533317520917294.

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Conceptual knowledge is supported by multiple semantic systems that are specialized for the analysis of different properties associated with object concepts. Various types of semantic association between concrete concepts—categorical (CA), encyclopedic (EA), functional (FA), and visual-encyclopedic (VEA) associations—were tested through a new picture-to-picture matching task (semantic association task, SAT). Forty individuals with Alzheimer’s disease (AD), 13 with behavioral variant of frontotemporal dementia (bv-FTD), 6 with primary progressive aphasia (PPA), and 37 healthy participants were

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Anavil, Lou G. Balanon. "VOCABULARY DEVELOPMENT VIA WORD ASSOCIATION AMONG FRESHMAN STUDENTS IN THE COLLEGE OF ARTS & COMMUNICATION OF UNIVERSITY OF EASTERN PHILIPPINES." International Journal of Research - Granthaalayah 7, no. 6 (2019): 84–92. https://doi.org/10.5281/zenodo.3262186.

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Responses in terms of semantic association including paradigmatic and syntagmatic association, non semantic association including clang (phonological-related) and orthographical (spellingrelated) association and random or other types of association of the freshman students in the College of Arts and Communication, University of Eastern Philippines was determined in this study. Secondly, this finds out whether AB LLT students which are the screened students in the college of arts and communication produce other types of responses besides the commonly known semantic responses. The instrument and

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Balanon, Anavil Lou G. "VOCABULARY DEVELOPMENT VIA WORD ASSOCIATION AMONG FRESHMAN STUDENTS IN THE COLLEGE OF ARTS & COMMUNICATION OF UNIVERSITY OF EASTERN PHILIPPINES." International Journal of Research -GRANTHAALAYAH 7, no. 6 (2020): 84–92. http://dx.doi.org/10.29121/granthaalayah.v7.i6.2019.762.

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Responses in terms of semantic association including paradigmatic and syntagmatic association, non semantic association including clang (phonological-related) and orthographical (spelling-related) association and random or other types of association of the freshman students in the College of Arts and Communication, University of Eastern Philippines was determined in this study. Secondly, this finds out whether AB LLT students which are the screened students in the college of arts and communication produce other types of responses besides the commonly known semantic responses. The instrum

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Narayana, S., S. Sivaleela, A. Govardhan, and G. P. S. Varma. "Entity-based Semantic Association Ranking on the Semantic Web." International Journal of Computer Applications 69, no. 20 (2013): 42–46. http://dx.doi.org/10.5120/12091-8339.

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Silberman, Yaron, Risto Miikkulainen, and Shlomo Bentin. "Associating Unseen Events." Psychological Science 16, no. 2 (2005): 161–66. http://dx.doi.org/10.1111/j.0956-7976.2005.00797.x.

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In prior work, we developed a computational model of how episodic associations between words are formed. Simulating associative learning, the model indicated that strongly associated semantically unrelated words facilitate the episodic association of other exemplars included in their semantic neighborhoods. This prediction was supported empirically by the present study. First, the incidental formation of strong associations between unrelated words, such as dog and table, improved cued recall of weak associations formed incidentally between semantic neighbors, like cat and chair. Second, decidi

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Spätgens, Tessa, and Rob Schoonen. "The structure of developing semantic networks: Evidence from single and multiple nominal word associations in young monolingual and bilingual readers." Applied Psycholinguistics 41, no. 5 (2020): 1141–69. http://dx.doi.org/10.1017/s0142716420000430.

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ABSTRACTThe present study focuses on the effect of an important methodological choice in word association studies in children: the elicitation of single versus multiple responses. This choice has been shown to affect the numbers and types of associations adults produce, however, little is known about how it affects children’s word associations. A total of 11,725 associations to 80 nouns from 207 monolingual and bilingual minority children were classified according to a detailed coding system, and differences between the semantic characteristics of first, second, and third responses were examin

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Khodadadi, Nima, M. G. El El-Mahgoub, and Rokaia M. Zaki. "Mining Sematic Association Rules from RDF Data." Journal of Artificial Intelligence and Metaheuristics 4, no. 1 (2023): 43–51. http://dx.doi.org/10.54216/jaim.040105.

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Many fields rely heavily on the accurate and consistent portrayal of structured data. In order to effectively express and link information on the Semantic Web, RDF (Resource Description Framework) data is essential. Here, we present a process for extracting semantic association rules from RDF data. For our method, we employ the Apriori algorithm to mine the RDF triples for hidden connections between ideas and relationships. Using metrics such as confidence, support, and lift, we examine how well our model performs. We also give visual representations, like as scatter plots and clustered matric

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Li, Jingwen, Yanting Cai, Xu Gong, et al. "Semantic Retrieval of Remote Sensing Images Based on the Bag-of-Words Association Mapping Method." Sensors 23, no. 13 (2023): 5807. http://dx.doi.org/10.3390/s23135807.

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With the increasing demand for remote sensing image applications, extracting the required images from a huge set of remote sensing images has become a hot topic. The previous retrieval methods cannot guarantee the efficiency, accuracy, and interpretability in the retrieval process. Therefore, we propose a bag-of-words association mapping method that can explain the semantic derivation process of remote sensing images. The method constructs associations between low-level features and high-level semantics through visual feature word packets. An improved FP-Growth method is proposed to achieve th

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Fan, Bo, Linfu Sun, Dong Tan, and Min Han. "Classification of Multi-Value Chain Business Data Resources Based on Semantic Association." Electronics 13, no. 24 (2024): 5035. https://doi.org/10.3390/electronics13245035.

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Focusing on the classification of business data resources within a unified business semantic environment is an important method to simplify the data environment and a crucial approach to studying data intelligence. A multi-value chain data space is a typical business semantic heterogeneous complex data environment. This paper summarizes the characteristics of multi-value chain business data resources and proposes a study on their classification using business semantic logic. By constructing a semantic-based relational model for multi-value chain business data resources and a multi-value chain

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Martensson, Frida, Mikael Roll, Pia Apt, and Merle Horne. "Modeling the meaning of words: Neural correlates of abstract and concrete noun processing." Acta Neurobiologiae Experimentalis 71, no. 4 (2011): 455–78. http://dx.doi.org/10.55782/ane-2011-1864.

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We present a model relating analysis of abstract and concrete word meaning in terms of semantic features and contextual frames within a general framework of neurocognitive information processing. The approach taken here assumes concrete noun meanings to be intimately related to sensory feature constellations. These features are processed by posterior sensory regions of the brain, e.g. the occipital lobe, which handles visual information. The interpretation of abstract nouns, however, is likely to be more dependent on semantic frames and linguistic context. A greater involvement of more anterio

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AL-Naimi, Fatma Saad. "THE WORD MERCY AND ITS DERIVATIVES IN THE QURAN IS A ‎CONTEXTUAL SEMANTIC STUDY." International Journal of Humanities and Educational Research 03, no. 06 (2021): 118–29. http://dx.doi.org/10.47832/2757-5403.6-3.9.

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This research deals with the word mercy and its derivatives in the Qur'an, a contextual semantic ‎study, where the search tries to answer a key question about the semantic and contextual effect ‎of the word mercy and its derivatives in the Holy Quran,‎ Qur'anic studies have taken an important place between linguistic and semantic studies, because ‎of their association with the Qur'an and its place in people; semantic studies are one of these ‎studies, because of their importance in revealing the meanings of the text and its semantics. This ‎research is intended to show the significance of this

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Blin, Raoul. "Formalisation Des Contraintes D'association Des Groupes Numériques Avec Spécifiques Et Noms Communs Japonais." Cahiers de Linguistique Asie Orientale 35, no. 2 (2006): 241–75. http://dx.doi.org/10.1163/19606028-90000153.

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In Japanese, as for many other languages, quantification of countable nouns is realized with numeral phrases, consisting of the numeral and the c1assifier. Each noun has a restricted set of possible c1assifiers from an inventory of approximately 100. The association between noun and classifier is threefold: It can be of either the lexical, semantic, or morphological type. This article proposes a formalization of the numeral phrase-noun association in order to analyse them with a syntactic-semantic parser. The present work is part of a larger research project on the formal syntax and semantics

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Pintos, Andrea, Charlton Cheung, Simon De Deyne, Christy L. M. Hui, and Eric Y. H. Chen. "T55. DETECTING SEMANTIC DISTANCE ABNORMALITIES IN PSYCHOSIS: QUANTIFICATION OF WORD ASSOCIATIONS USING SEMANTIC SPACE MODELING." Schizophrenia Bulletin 46, Supplement_1 (2020): S252. http://dx.doi.org/10.1093/schbul/sbaa029.615.

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Abstract Background Language Disorganisation is central to the conceptualization of psychosis. Disruptions in semantic processing have been observed both as a “state”, and a “trait” phenomena in psychotic disorders. Quantification of semantic abnormalities have been improved with recent advances in semantic modeling. The current study applied such computational methods on a word association task, using immediate response to cue words to explore semantic associations. We employed a longitudinal design to investigate semantic relationships during a psychotic episode compared with the same patien

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Jämsen, Janne, Timo Niemi, and Kalervo Järvelin. "Derived types in semantic association discovery." Journal of Intelligent Information Systems 35, no. 2 (2009): 213–44. http://dx.doi.org/10.1007/s10844-009-0094-7.

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Jabeen, Shahida, Xiaoying Gao, and Peter Andreae. "Semantic association computation: a comprehensive survey." Artificial Intelligence Review 53, no. 6 (2019): 3849–99. http://dx.doi.org/10.1007/s10462-019-09781-w.

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Isya, Isyaku, Sirajo Aliyu Muhammad, and Aminu Muazu Abubakar. "An Improved Semantic Items Generation Algorithm for Mining High Number of Significant Association Rules from Semantic Web Data." International Journal of Computer Science and Information Technology Research 11, no. 2 (2023): 77–86. https://doi.org/10.5281/zenodo.7936390.

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<strong>Abstract:</strong> The number of Ontologies and the Linked Open Data (LOD) on the Web is constantly increasing. This type of complex and heterogeneous semi-structured data raises new opportunities and challenges for the data mining (DM) community. Semantic Web Association Rule Mining (SWARM) algorithm have the limitations of generating many non-interesting, duplicate and equivalents rules and low algorithm performance. This research demonstrates a procedure for improving the performance of SWARM in text mining by using RDF data. The result revealed significant reduction in the number o

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Li, Jixing, and Liina Pylkkänen. "Disentangling Semantic Composition and Semantic Association in the Left Temporal Lobe." Journal of Neuroscience 41, no. 30 (2021): 6526–38. http://dx.doi.org/10.1523/jneurosci.2317-20.2021.

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Viswanathan, V., and Ilango Krishnamurthi. "Finding relevant semantic association paths using semantic ant colony optimization algorithm." Soft Computing 19, no. 1 (2014): 251–60. http://dx.doi.org/10.1007/s00500-014-1247-3.

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Meng, Lei, Xiangxian Li, Xiaoshuo Yan, et al. "Causal Inference over Visual-Semantic-Aligned Graph for Image Classification." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 18 (2025): 19449–57. https://doi.org/10.1609/aaai.v39i18.34141.

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Incorporating tagging information to regularize the representation learning of images usually leads to improved performance in image classification by aligning the visual features with the textual ones of higher discriminative power. Existing methods typically follow the predictive approach, which uses tags as the semantic labels for visual input to make predictions. However, they typically face the problem of handling the heterogeneity between modalities. In order to learn accurate visual-semantic mapping, this paper presents a visual-semantic causal association modeling framework termed VSCN

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Stojkovic, Milos, Milan Trifunovic, Dragan Misic, and Miodrag Manic. "Towards analogy-based reasoning in semantic network." Computer Science and Information Systems 12, no. 3 (2015): 979–1008. http://dx.doi.org/10.2298/csis141103036s.

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In this paper an approach in realization of analogy-based reasoning in semantic networks is presented. New semantic model, called Active Semantic Model (ASM), was used. Core of the process is performed by ASM?s association (semantic relation) plexus upgrading procedure based on recognition and determining similarity between association plexuses. Determining similarity between association plexuses is performed by recognition of topological analogy between association plexuses. ASM responds to unpredicted input by upgrading new association plexus modeled on remainder of the context whose subset

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Brisker, Maria Vasilyevna, Anna Sergeevna Fomichenko, Olga Valerevna Strizhkova, Irina Nickolaevna Raptanova, and Galina Valentinovna Terekhova. "Experimental Study of Perceptual Characteristics of Semantic Association in the Text." International Journal of Early Childhood Special Education 14, no. 1 (2022): 247–52. http://dx.doi.org/10.9756/int-jecse/v14i1.221030.

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Psycholinguistics, as a science emerged from linguistics and psychology, uses psychological methods to study the linguistic realities of language. The development of a new scientific discipline entails the application of a new methodology for text analysis, which contributes to the discovery of completely new, unique data. At present, experimental methods are increasingly used in psycholinguistic studies. The research described in the presented article is of an experimental nature and is aimed at identifying the features of the semantic association perception in texts of different genre and st

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GRAVINO, PIETRO, VITO D. P. SERVEDIO, ALAIN BARRAT, and VITTORIO LORETO. "COMPLEX STRUCTURES AND SEMANTICS IN FREE WORD ASSOCIATION." Advances in Complex Systems 15, no. 03n04 (2012): 1250054. http://dx.doi.org/10.1142/s0219525912500543.

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We investigate the directed and weighted complex network of free word associations in which players write a word in response to another word given as input. We analyze in details two large datasets resulting from two very different experiments: On the one hand the massive multiplayer web-based Word Association Game known as Human Brain Cloud, and on the other hand the South Florida Free Association Norms experiment. In both cases, the networks of associations exhibit quite robust properties like the small world property, a slight assortativity and a strong asymmetry between in-degree and out-d

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Visch-Brink, Evy, Gianfranco Denes, and Dick Stronks. "Woorden en Objecten." Taal(leer)problemen 60 (January 1, 1998): 77–85. http://dx.doi.org/10.1075/ttwia.60.09vis.

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The semantic system has a central position in the language processing system as the intermediate between language production and language comprehension. The system itself may be separated into distinctive components: visual and lexical semantics. Their is much discussion about the interference between the visual and lexical semantic system and about the quality of the processing routes. Some authors propose a unitary amodal system, other authors plead for modality-specific semantic systems. The stage of perceptual categorization is considered both as optional and as obligatory. The objective o

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Коновальчук, Е., E. Konoval'chuk, В. Лавлинский, et al. "ALGORITHMS FOR COMBINING INFORMATION ABOUT WEB-PAGES WITH BACKGROUND ONTOLOGICAL KNOWLEDGE." Modeling of systems and processes 12, no. 2 (2019): 32–37. http://dx.doi.org/10.12737/article_5db1e3e60bef13.23500137.

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Currently, web information technologies are widely developed on the basis of the development of approaches related to the addition of semantics to web data, and the development of the apparatus of semantic networks. This article proposes the development of methods of semantic information retrieval based on algorithms of its association. This approach allows to use the analysis of web-pages with background ontological knowledge and increases its efficiency in comparison with standard approaches.

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Brunel, Nicolas, and Frédéric Lavigne. "Semantic Priming in a Cortical Network Model." Journal of Cognitive Neuroscience 21, no. 12 (2009): 2300–2319. http://dx.doi.org/10.1162/jocn.2008.21156.

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Contextual recall in humans relies on the semantic relationships between items stored in memory. These relationships can be probed by priming experiments. Such experiments have revealed a rich phenomenology on how reaction times depend on various factors such as strength and nature of associations, time intervals between stimulus presentations, and so forth. Experimental protocols on humans present striking similarities with pair association task experiments in monkeys. Electrophysiological recordings of cortical neurons in such tasks have found two types of task-related activity, “retrospecti

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Ait-Mlouk, Addi, Xuan-Son Vu, and Lili Jiang. "WINFRA: A Web-Based Platform for Semantic Data Retrieval and Data Analytics." Mathematics 8, no. 11 (2020): 2090. http://dx.doi.org/10.3390/math8112090.

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Given the huge amount of heterogeneous data stored in different locations, it needs to be federated and semantically interconnected for further use. This paper introduces WINFRA, a comprehensive open-access platform for semantic web data and advanced analytics based on natural language processing (NLP) and data mining techniques (e.g., association rules, clustering, classification based on associations). The system is designed to facilitate federated data analysis, knowledge discovery, information retrieval, and new techniques to deal with semantic web and knowledge graph representation. The p

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Lee, Ko Eun. "Investigation of Semantic Norms in Adults: Based on Type of Semantic Relationship of Hangul Words." Korean Association For Learner-Centered Curriculum And Instruction 23, no. 10 (2023): 413–26. http://dx.doi.org/10.22251/jlcci.2023.23.10.413.

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Objectives The purpose of this study were to explore the semantic norm of Hangul words based on type of semantic relationship. We investigated various words that exhibited diverse types of semantic relationships with a single word. Methods We conducted a free association task and controlled association task on 180 Hangul words with 150 adults over the age of 20 who were native Korean speakers. In the free association task, participants were asked to freely report words that came to mind when presented with a given word, while in the controlled association task, they were asked to report words

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Bertels, Ann, and Dirk Speelman. "Clustering for semantic purposes." Terminology 20, no. 2 (2014): 279–303. http://dx.doi.org/10.1075/term.20.2.07ber.

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This paper presents an innovative approach, within the framework of distributional semantics, for the exploration of semantic similarity in a technical corpus. In complement to a previous quantitative semantic analysis conducted in the same domain of machining terminology, this paper sets out to discover fine-grained semantic distinctions in an attempt to explore the semantic heterogeneity of a number of technical items. Multidimensional scaling analysis (MDS) was carried out in order to cluster first-order co-occurrences of a technical node with respect to shared second-order and third-order

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Iuliia, Kobzieva, Gordiienko-Mytrofanova Iia, and Sauta Serhii. "PSYCHOLINGUISTIC FEATURES OF IMAGINATION AS A COMPONENT OF LUDIC COMPETENCE." EUREKA: Social and Humanities 2 (March 31, 2020): 15–23. https://doi.org/10.21303/2504-5571.2020.001128.

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Ludic competence is an integral part of the professional competence of would-be psychologists; the psycholinguistic features of imagination are in turn an integral component of the ludic competence. We used the method of applied psycholinguistic research in order to define and explain the psycholinguistic features of imagination as a component of the ludic competence. The main stage of the research was a free association test with the stimulus word “imagination”, as the most elaborated technique of semantic analysis. The psycholinguistic features of imagination as a notion that bel

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Fu, Yan, Ying Yang, and Ou Ye. "Video Captioning Method Based on Semantic Topic Association." Electronics 14, no. 5 (2025): 905. https://doi.org/10.3390/electronics14050905.

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To address the issue in encoder–decoder-based video captioning method where semantic topics are overlooked in guiding the video captioning, leading to a semantic mismatch between video content and generated captions, a video captioning method based on semantic topic association is proposed. The core of this method lies in the designed semantic topic module, which is capable of capturing more detailed topic information on objects and actions in videos, and establishing a bridge between video representations and semantic topics, thereby selectively guiding the generation of video descriptions. D

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Gutiérrez Espinoza, Luis, and Brian Keith Norambuena. "Evaluating semantic representations for extended association rules." Intelligent Data Analysis 26, no. 5 (2022): 1341–57. http://dx.doi.org/10.3233/ida-216255.

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In this work, we evaluate the impact of changing the semantic text representation on the performance of the AR-SVS (extended association rules in semantic vector spaces) algorithm on the sentiment polarity classification task on a paper reviews dataset. To do this, we use natural language processing techniques in conjunction with machine learning classifiers. In particular, we report the classification performance using the F1 and accuracy metrics. The semantic representations that we used in our evaluation were chosen based on a systematic literature review, leading to an evaluation of AR-SVS

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Coschignano, Serena. "The semantic network of temperature." Review of Cognitive Linguistics 19, no. 1 (2021): 232–58. http://dx.doi.org/10.1075/rcl.00082.cos.

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Abstract The present study investigates the relation between temperature and non-sensory domains conceptually close to it. Observing metaphorical extensions of the Italian basic temperature terms caldo ‘hot’ and freddo ‘cold’, individuated through a collocational analysis performed on the ItTenTen16 corpus, mental operations responsible for the association of temperature with other domains are assessed. Interestingly, many associations are first elaborated onto warmth/heat and then used to map concepts onto cold. Although conceptual associations are primarily motivated by embodiment, in some c

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Wang, Feng, Lan Fen Lin, and Zhou Yang. "An Ontology-Based Automatic Semantic Annotation Approach for Patent Document Retrieval in Product Innovation Design." Applied Mechanics and Materials 446-447 (November 2013): 1581–90. http://dx.doi.org/10.4028/www.scientific.net/amm.446-447.1581.

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Patent retrieval plays a very important role in product innovation design. However, current patent retrieval approaches lack semantic comprehension and association, and usually cannot capture the implicit useful knowledge at a semantic level. In order to improve the traditional patent search, this paper proposes a novel ontology-based automatic semantic annotation approach based on the thorough analysis of patent documents, which combines both structure and content characteristics, and integrates multiple techniques from various aspects. Multilayer semantic model is established to realize unif

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Trifunovic, Milan, Milos Stojkovic, Dragan Misic, Miroslav Trajanovic, and Miodrag Manic. "Recognizing Topological Analogy in Semantic Network." International Journal on Artificial Intelligence Tools 24, no. 03 (2015): 1550006. http://dx.doi.org/10.1142/s0218213015500062.

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Recognizing topological analogy between the parts of semantic network seems to be very important step in the process of semantic categorization and interpretation of data that are embedded into the semantic network. Considering the semantic network as a set of graphs, recognition of topological analogy between the parts of semantic network can be treated as maximum common subgraph problem which falls in the group of exact graph matching problems. In this paper authors propose a new algorithm for maximum common subgraph detection aimed to a specific semantic network called Active Semantic Model

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Kulkarni, Ritwik, Susan Rothstein, and Alessandro Treves. "A Neural Network Perspective on the Syntactic-Semantic Association between Mass and Count Nouns." JOURNAL OF ADVANCES IN LINGUISTICS 6, no. 2 (2016): 964–76. http://dx.doi.org/10.24297/jal.v6i2.5176.

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Analysing aspects of how our brain processes language may provide, even before the language faculty is really understood, useful insights into higher order cognitive functions. We take a small exploratory step in this direction with an attempt to test the ability of a standard, biologically plausible self-organising neural network to learn the association between syntax and semantics around the mass-count distinction. The mass-count distinction relates to the countability or un-countability of nouns, both in terms of their syntactic usage and of their semantic perception. A previous statistica

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Черемська, Ольга Степанівна, та Ольга Володимирівна Масло. "ФОНІКА Й ЛЕКСИКА В ПОЕТИЧНІЙ МОВІ МАЙКА ЙОГАНСЕНА". Збірник наукових праць ХНПУ імені Г.С. Сковороди "Лінгвістичні дослідження", № 41 (30 березня 2016): 85–91. https://doi.org/10.5281/zenodo.48567.

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<em>The task of this research is an analysis of means of the sound organization of poetic texts and lexical units which are typical for writer’s idiostyle. The attempt to research specifics of phonetic and lexical and semantic means of the imagination of M Yogansen’s poetic language has been undertaken. Attention was concentrated on sources of the individual and author imaginative sensitive presentation of the reality, i.e. transformation of sounds, forms, words, phrases, mythical and folklore images, “paronimic attraction”; means of sound organization of poetic texts (

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Ellis, Nick C., Matthew B. O’Donnell, and Ute Römer. "Second language verb-argument constructions are sensitive to form, function, frequency, contingency, and prototypicality." Linguistic Approaches to Bilingualism 4, no. 4 (2014): 405–31. http://dx.doi.org/10.1075/lab.4.4.01ell.

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We used free association tasks to investigate second language (L2) verb-argument constructions (VACs) and the ways in which their access is sensitive to statistical patterns of usage (verb type-token frequency distribution, VAC-verb contingency, verb-VAC semantic prototypicality). 131 German, 131 Spanish, and 131 Czech advanced L2 learners of English generated the first word that came to mind to fill the V slot in 40 sparse VAC frames such as ‘he __ across the …’, ‘it __ of the …’, etc. For each VAC, we compared these results with corpus analyses of verb selection preferences in 100 million wo

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Tang, Guofeng, Xuhui Chen, Ning Li, and Jianfeng Cui. "Research on the Evolution of Journal Topic Mining Based on the BERT-LDA Model." SHS Web of Conferences 152 (2023): 03012. http://dx.doi.org/10.1051/shsconf/202315203012.

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Scientific papers are an important form for researchers to summarize and display their research results. Information mining and analysis of scientific papers can help to form a comprehensive understanding of the subject. Aiming at the ignorance of contextual semantic information in current topic mining and the uncertainty of screening rules in association evolution research, this paper proposes a topic mining evolution model based on the BERT-LDA model. First, the model combines the contextual semantic information learned by the BERT model with the word vectors of the LDA model to mine deep se

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ZHANG, XIAOHONG, ZAIZHU HAN, and YANCHAO BI. "Are abstract and concrete concepts organized differently? Evidence from the blocked translation paradigm." Applied Psycholinguistics 34, no. 5 (2012): 1059–92. http://dx.doi.org/10.1017/s0142716412000124.

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ABSTRACTUsing the blocked-translation paradigm with healthy participants, we examined Crutch and Warrington's hypothesis that concrete and abstract concepts are organized by distinct principles: concrete concepts by semantic similarities and abstract ones by associations. In three experiments we constructed two types of experimental blocking (similar vs. associative) for both abstract and concrete words. In Experiment 1, we first attempted to transfer previous findings observed in patients by Crutch and Warrington with semantic impairment to healthy participants. In Experiment 2 only noun stim

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Wang, Lei, Lingyu Xu, Yunlan Xue, Gaowei Zhang, and Xiangfeng Luo. "Search of Web Service based on Weighted Association Rule." International Journal of Software Science and Computational Intelligence 7, no. 3 (2015): 46–57. http://dx.doi.org/10.4018/ijssci.2015070103.

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The rapid growth of web services need efficiently discovering the desired web services for the users. Web service interfaces are defined with WSDL that is described by a bag of terms. Many similarity metrics are proposed to solve this problem, it is hardly to resolve the problem that only few pairs of terms between two services have high semantic distance, the semantic distance of other terms between two services are low. Using traditional keyword search metrics may acquire a wrong result that these two web services are similar, in addition, semantics of the web services is hardly to exploit.

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Mia Perlina and Umi Hani. "Semantic change found in the news articles of Republika." Rainbow : Journal of Literature, Linguistics and Culture Studies 13, no. 2 (2024): 162–73. https://doi.org/10.15294/rainbow.v13i2.13202.

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This study aimed to analyze the types and factors that cause changes in meaning of certain words. 10 news articles were chosen as the data that were taken from Republika, a national online newspaper in Indonesia. To collect and analyze the data, this study involves several steps, among others are skimming to find out the words undergoing semantic change, classifying the words into several types of semantic change proposed by Hollman (2009a), finding out the causes of semantic change based on Chaer’s (2009) framework, and drawing a conclusion based on the result of the study. The results showed

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Kutas, Marta, and Steven A. Hillyard. "An Electrophysiological Probe of Incidental Semantic Association." Journal of Cognitive Neuroscience 1, no. 1 (1989): 38–49. http://dx.doi.org/10.1162/jocn.1989.1.1.38.

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Long-latency components of event-related brain potentials (ERPs) recorded from subjects reading meaningful text are sensitive to semantic relationships among the major lexical items of sentences. In particular, the N400 components are enlarged to words that are semantically unrelated to or incongruous with the context provided by preceding items in a sentence. The present experiment was aimed at finding out whether this inverse relationship between N400 amplitude and semantic association would extend to situations where words were presented in isolated pairs, using a design that dissociated ch

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Jodłowiec, Marcin, Marek Krótkiewicz, and Krystian Wojtkiewicz. "Defining semantic networks using association-oriented metamodel." Journal of Intelligent & Fuzzy Systems 37, no. 6 (2019): 7453–64. http://dx.doi.org/10.3233/jifs-179353.

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Barati, Molood, Quan Bai, and Qing Liu. "Mining semantic association rules from RDF data." Knowledge-Based Systems 133 (October 2017): 183–96. http://dx.doi.org/10.1016/j.knosys.2017.07.009.

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LEESON, V., A. SIMPSON, P. MCKENNA, and K. LAWS. "Executive inhibition and semantic association in schizophrenia." Schizophrenia Research 74, no. 1 (2005): 61–67. http://dx.doi.org/10.1016/j.schres.2004.07.011.

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Nebot, Victoria, and Rafael Berlanga. "Finding association rules in semantic web data." Knowledge-Based Systems 25, no. 1 (2012): 51–62. http://dx.doi.org/10.1016/j.knosys.2011.05.009.

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Jia, Henan, Lifen Yang, and Bo Cui. "Collaborative Filtering Recommendation of Online Learning Resources Based on Knowledge Association Model." International Journal of Emerging Technologies in Learning (iJET) 17, no. 02 (2022): 158–72. http://dx.doi.org/10.3991/ijet.v17i02.29013.

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Online learning platforms are prone to information overload, as they contain a huge number of diverse resources. To solve the problem, domestic and foreign scholars have focused their attention on personalized recommendation of learning resources. However, the existing studies perform poorly in the prediction of online learning paths, failing to clarify the overall knowledge system of students and the associations of resource knowledge. Therefore, this paper explores the collaborative filtering recommendation (CFR) of online learning resources (OLRs) based on knowledge association model. First

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Ivanenko, Iryna. "Notions “association”, “associativity” in modern linguo-stylistics." Terminological Bulletin, no. 5 (2019): 84–89. http://dx.doi.org/10.37919/2221-807-2019-5-10.

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Charles Bally’s works laid the basis for the linguistic interpretation of the conceptions of association and associativity and understanding of associative mechanisms with regard to the fundamentals of psychology and systemacy of semantic links in thinking and language. The foundation of the modern theory of associativity is the classification of associations (mnemonic and necessary, close and distant, internal and external) developed by Charles Bally in his works. In linguo-stylistics the conception of association and associativity are associated with understanding of the psycholinguistic mec

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Ivanenko, Iryna. "Notions “association”, “associativity” in modern linguo-stylistics." Terminological Bulletin, no. 5 (2019): 84–89. http://dx.doi.org/10.37919/2221-8807-2019-5-10.

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Charles Bally’s works laid the basis for the linguistic interpretation of the conceptions of association and associativity and understanding of associative mechanisms with regard to the fundamentals of psychology and systemacy of semantic links in thinking and language. The foundation of the modern theory of associativity is the classification of associations (mnemonic and necessary, close and distant, internal and external) developed by Charles Bally in his works. In linguo-stylistics the conception of association and associativity are associated with understanding of the psycholinguistic mec

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