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Journal articles on the topic 'Semantic context'

Author: Grafiati

Published: 4 June 2021

Last updated: 18 February 2022

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1

Romero, Esther, and Belén Soria. "Semantic content and compositional context-censitivity." THEORIA. An International Journal for Theory, History and Foundations of Science 34, no. 1 (2019): 51. http://dx.doi.org/10.1387/theoria.17683.

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A variety of theorists have recently argued against the explanation of the semantic content of a sentence as a minimal proposition claiming that intentional aspects of the context are often needed to obtain a minimal proposition. Minimalists such as Borg, however, still defend intention-insensitive minimal propositions for sentences in a narrow context and provide solutions or dissolutions against incompleteness objections. In this paper, we show that these putative defences of propositionalism do not serve to avoid some additional genuine objections which arise from compositional context-sens

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2

Montminy, Martin. "Semantic Content, Truth Conditions and Context." Linguistics and Philosophy 29, no. 1 (2006): 1–26. http://dx.doi.org/10.1007/s10988-005-3147-6.

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Albertoni, Riccardo, Elena Camossi, Monica De Martino, Franca Giannini, and Marina Monti. "Context dependent semantic granularity." International Journal of Data Mining, Modelling and Management 3, no. 2 (2011): 189. http://dx.doi.org/10.1504/ijdmmm.2011.041495.

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Li, Haofeng, Guanbin Li, Liang Lin, Hongchuan Yu, and Yizhou Yu. "Context-Aware Semantic Inpainting." IEEE Transactions on Cybernetics 49, no. 12 (2019): 4398–411. http://dx.doi.org/10.1109/tcyb.2018.2865036.

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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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Wang, Huandong, Yong Li, Mu Du, Zhenhui Li, and Depeng Jin. "App2Vec: Context-Aware Application Usage Prediction." ACM Transactions on Knowledge Discovery from Data 15, no. 6 (2021): 1–21. http://dx.doi.org/10.1145/3451396.

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Both app developers and service providers have strong motivations to understand when and where certain apps are used by users. However, it has been a challenging problem due to the highly skewed and noisy app usage data. Moreover, apps are regarded as independent items in existing studies, which fail to capture the hidden semantics in app usage traces. In this article, we propose App2Vec, a powerful representation learning model to learn the semantic embedding of apps with the consideration of spatio-temporal context. Based on the obtained semantic embeddings, we develop a probabilistic model

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Liu, Liwei, Freddy Lecue, and Nikolay Mehandjiev. "Semantic content-based recommendation of software services using context." ACM Transactions on the Web 7, no. 3 (2013): 1–20. http://dx.doi.org/10.1145/2516633.2516639.

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SCHIESSL, Marcelo, and Marisa BRÄSCHER. "Ontology lexicalization: Relationship between content and meaning in the context of Information Retrieval." Transinformação 29, no. 1 (2017): 57–72. http://dx.doi.org/10.1590/2318-08892017000100006.

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Abstract The proposal presented in this study seeks to properly represent natural language to ontologies and vice-versa. Therefore, the semi-automatic creation of a lexical database in Brazilian Portuguese containing morphological, syntactic, and semantic information that can be read by machines was proposed, allowing the link between structured and unstructured data and its integration into an information retrieval model to improve precision. The results obtained demonstrated that the methodology can be used in the risco financeiro (financial risk) domain in Portuguese for the construction of

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Liang, Chao, Changsheng Xu, and Hanqing Lu. "Personalized Sports Video Customization Using Content and Context Analysis." International Journal of Digital Multimedia Broadcasting 2010 (2010): 1–20. http://dx.doi.org/10.1155/2010/836357.

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We present an integrated framework on personalized sports video customization, which addresses three research issues: semantic video annotation, personalized video retrieval and summarization, and system adaptation. Sports video annotation serves as the foundation of the video customization system. To acquire detailed description of video content, external web text is adopted to align with the related sports video according to their semantic correspondence. Based on the derived semantic annotation, a user-participant multiconstraint 0/1 Knapsack model is designed to model the personalized vide

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Han, Jialong, Aixin Sun, Haisong Zhang, Chenliang Li, and Shuming Shi. "CASE: Context-Aware Semantic Expansion." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (2020): 7871–78. http://dx.doi.org/10.1609/aaai.v34i05.6293.

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In this paper, we define and study a new task called Context-Aware Semantic Expansion (CASE). Given a seed term in a sentential context, we aim to suggest other terms that well fit the context as the seed. CASE has many interesting applications such as query suggestion, computer-assisted writing, and word sense disambiguation, to name a few. Previous explorations, if any, only involve some similar tasks, and all require human annotations for evaluation. In this study, we demonstrate that annotations for this task can be harvested at scale from existing corpora, in a fully automatic manner. On

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Antunes, Mário, Diogo Gomes, and Rui L. Aguiar. "Scalable semantic aware context storage." Future Generation Computer Systems 56 (March 2016): 675–83. http://dx.doi.org/10.1016/j.future.2015.09.008.

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12

Camp, Elisabeth. "Pragmatic force in semantic context." Philosophical Studies 174, no. 6 (2016): 1617–27. http://dx.doi.org/10.1007/s11098-016-0781-5.

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13

Setyawan, Rakha, and Triastama Wiraatmaja. "THE ANALYSIS OF SEMANTIC AND PRAGMATIC CONTEXT IN TOEFL TEST SIMULATION ON LISTENING SECTION." A Journal of Culture English Language Teaching Literature & Linguistics 5, no. 2 (2018): 45. http://dx.doi.org/10.22219/celticumm.vol5.no2.45-57.

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Sociolinguistics aspects such as Semantic and Pragmatic affect language user in every situation. Those two contexts even exist in a proficiency test to become the test foundation. This research was conducted to identify the semantic and pragmatic contexts in TOEFL test simulation on the Listening section. The researcher applied a qualitative descriptive approach to this research, and Document Analysis and the researcher as the instrument. The object of this research was TOP NO 1 TOEFL SIMULATION published by FORUM TENTOR INDONESIA. The result reveals that there are several types of semantic an

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Setyawan, Rakha, and Triastama Wiraatmaja. "THE ANALYSIS OF SEMANTIC AND PRAGMATIC CONTEXT IN TOEFL TEST SIMULATION ON LISTENING SECTION." Celtic: A Journal of Culture, English Language Teaching, Literature and Linguistics 5, no. 2 (2018): 45–57. http://dx.doi.org/10.22219/celtic.v5i2.7619.

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Sociolinguistics aspects such as Semantic and Pragmatic affect language user in every situation. Those two contexts even exist in a proficiency test to become the test foundation. This research was conducted to identify the semantic and pragmatic contexts in TOEFL test simulation on the Listening section. The researcher applied a qualitative descriptive approach to this research, and Document Analysis and the researcher as the instrument. The object of this research was TOP NO 1 TOEFL SIMULATION published by FORUM TENTOR INDONESIA. The result reveals that there are several types of semantic an

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15

SHEN, Hai-bo. "Context-aware semantic-based access control model for semantic Web." Journal of Computer Applications 29, no. 5 (2009): 1289–92. http://dx.doi.org/10.3724/sp.j.1087.2009.01289.

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16

Toro, Jose M. Blazquez del, Jesus Arias Fisteus, Vicente Luque Centeno, and Luis Sanchez Fernandez. "A semantic similarity measure in the context of semantic queries." International Journal of Computer Applications in Technology 33, no. 4 (2008): 285. http://dx.doi.org/10.1504/ijcat.2008.022424.

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17

Gu, Tao, Daqing Zhang, and Hung Keng Pung. "An Ontology-Based P2P Network for Semantic Search." International Journal of Grid and High Performance Computing 1, no. 4 (2009): 26–39. http://dx.doi.org/10.4018/jghpc.2009070803.

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This article presents an ontology-based peer-to-peer network that facilitates efficient search for data in widearea networks. Data with the same semantics are grouped together into one-dimensional semantic ring space in the upper-tier network. This is achieved by applying an ontology-based semantic clustering technique and dedicating part of node identifiers to correspond to their data semantics. In the lower-tier network, peers in each semantic cluster are organized as Chord identifier space. Thus, all the nodes in the same semantic cluster know which node is responsible for storing context d

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Nguyen, Kien, Clinton Fookes, and Sridha Sridharan. "Context from within: Hierarchical context modeling for semantic segmentation." Pattern Recognition 105 (September 2020): 107358. http://dx.doi.org/10.1016/j.patcog.2020.107358.

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19

Kussmaul, Paul. "Semantic Models and Translating." Target. International Journal of Translation Studies 6, no. 1 (1994): 1–13. http://dx.doi.org/10.1075/target.6.1.02kus.

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Abstract This paper examines the relevance of three semantic models for translation. Structural semantics, more specifically semantic feature analysis, has given rise to the maxim that we should translate "bundles of semantic features". Prototype semantics suggests that word-meanings have cores and fuzzy edges which are influenced by culture. For translation this means that we do not necessarily translate bundles of features but have to decide whether to focus on the core or the fuzzy edges of the meaning of a particular word. Scenesand-frames semantics suggests that word meaning is influenced

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20

Jameson, Mbale, Xu Xiao Fei, and Deng Sheng Chun. "Semantic Similarity of an Object as a Function of the Context (SSOFC) in a Heterogeneous Environment." International Journal of Cooperative Information Systems 12, no. 03 (2003): 393–409. http://dx.doi.org/10.1142/s0218843003000796.

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The relationship of Semantic Similarity of an Object as a Function of the Context (SSOFC) being the key factor in data integration is investigated. The SSOFC is a context-based system, which exploits the context of an object by utilizing the semantic similarity involved, in order to reconcile bottleneck conflicts (semantic) standing in the way of interoperability acquisition in heterogeneous systems. SSOFC is further re-enforced with the agents to equip architectural intelligence and facilitate the cooperative tasks, such as the versatility to pass, share, communicate, liaise, and negotiate th

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MAGNE, CYRILLE, MIREILLE BESSON, and STÉPHANE ROBERT. "Context influences the processing of verb transitivity in French sentences: more evidence for semantic−syntax interactions." Language and Cognition 6, no. 2 (2014): 181–216. http://dx.doi.org/10.1017/langcog.2014.7.

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abstractThe influence of semantic context on verb argument structure processing was investigated in two experiments using both ERP and behavioral measures. Participants were presented with sentences ending with syntactically and/or semantically congruous or incongruous noun phrases and they were asked to judge the overall acceptability of the sentences. Syntactically incongruous sentences contained an intransitive verb followed by a direct object (e.g., *L’ennemi a conspiré (INTR) un complot *‘The enemy conspired a scheme’). In line with our hypothesis, results showed that the processing of sy

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22

Wang, Zhenghong, Zhangjie Fu, and Xingming Sun. "Semantic Contextual Search Based on Conceptual Graphs over Encrypted Cloud." Security and Communication Networks 2018 (December 2, 2018): 1–10. http://dx.doi.org/10.1155/2018/1420930.

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Currently, searchable encryption becomes the focus topic with the emerging cloud computing paradigm. The existing research schemes are mainly semantic extensions of multiple keywords. However, the semantic information carried by the keywords is limited and does not respond well to the content of the document. And when the original scheme constructs the conceptual graph, it ignores the context information of the topic sentence, which leads to errors in the semantic extension. In this paper, we define and construct semantic search encryption scheme for context-based conceptual graph (ESSEC). We

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23

AL-Wahah, Mouiad, and Csilla Farkas. "Semantic-Based Authorization: Need for Context." International Journal for Digital Society 10, no. 1 (2019): 1450–58. http://dx.doi.org/10.20533/ijds.2040.2570.2019.0180.

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24

Nykänen, Ossi Antero, and Alejandro Rivero Rodriguez. "Problems in Context-Aware Semantic Computing." International Journal of Interactive Mobile Technologies (iJIM) 8, no. 3 (2014): 32. http://dx.doi.org/10.3991/ijim.v8i3.3870.

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25

Bernstein, Ira H., Victor Bissonnette, Avni Vyas, and Pamela Barclay. "Semantic priming: Subliminal perception or context?" Perception & Psychophysics 45, no. 2 (1989): 153–61. http://dx.doi.org/10.3758/bf03208050.

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26

Lamsfus, Carlos, Aurkene Alzua-Sorzabal, David Martín, and Emilio Torres. "Semantic-Based Context Modeling in Tourism." Information Technology & Tourism 13, no. 4 (2011): 309–25. http://dx.doi.org/10.3727/109830512x13364362859894.

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27

Adel, Alti, Sébastien Laborie, and Philippe Roose. "Semantic Context-aware Adaptation Platform Architecture." Procedia Computer Science 32 (2014): 959–64. http://dx.doi.org/10.1016/j.procs.2014.05.518.

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28

Vanlande, Renaud, and Christophe Nicolle. "Context DataModel Framework: semantic facilities management." International Journal of Product Lifecycle Management 3, no. 2/3 (2008): 165. http://dx.doi.org/10.1504/ijplm.2008.021440.

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29

Chen, Yuzhong, Yangyang Lin, Yuzhen Niu, Xiao Ke, and Tengda Huang. "Pyramid Context Contrast for Semantic Segmentation." IEEE Access 7 (2019): 173679–93. http://dx.doi.org/10.1109/access.2019.2956216.

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30

JANDER, Fabian, and Teruyuki MONNAI. "SEMANTIC ANALYSIS OF MACHIYA INHABITATION CONTEXT." Journal of Architecture and Planning (Transactions of AIJ) 78, no. 685 (2013): 573–83. http://dx.doi.org/10.3130/aija.78.573.

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Roth, Michael, and Mirella Lapata. "Context-aware Frame-Semantic Role Labeling." Transactions of the Association for Computational Linguistics 3 (December 2015): 449–60. http://dx.doi.org/10.1162/tacl_a_00150.

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Frame semantic representations have been useful in several applications ranging from text-to-scene generation, to question answering and social network analysis. Predicting such representations from raw text is, however, a challenging task and corresponding models are typically only trained on a small set of sentence-level annotations. In this paper, we present a semantic role labeling system that takes into account sentence and discourse context. We introduce several new features which we motivate based on linguistic insights and experimentally demonstrate that they lead to significant improv

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Predelli, Stefano. "Painted Leaves, Context, and Semantic Analysis." Linguistics and Philosophy 28, no. 3 (2005): 351–74. http://dx.doi.org/10.1007/s10988-004-6136-2.

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Davis, Janet, H. R. Schiffman, and Suzanne Greist-Bousquet. "Semantic context and figure-ground organization." Psychological Research 52, no. 4 (1990): 306–9. http://dx.doi.org/10.1007/bf00868062.

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Yuan, Yuhui, Lang Huang, Jianyuan Guo, Chao Zhang, Xilin Chen, and Jingdong Wang. "OCNet: Object Context for Semantic Segmentation." International Journal of Computer Vision 129, no. 8 (2021): 2375–98. http://dx.doi.org/10.1007/s11263-021-01465-9.

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Przelaskowski, Artur. "Semantic Sparse Representation of Disease Patterns." International Journal of Electronics and Telecommunications 56, no. 3 (2010): 273–80. http://dx.doi.org/10.2478/v10177-010-0036-x.

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Semantic Sparse Representation of Disease PatternsSparse data representation is discussed in a context of useful fundamentals led to semantic content description and extraction of information. Disease patterns as semantic information extracted from medical images were underlined because of discussed application of computer-aided diagnosis. Compressive sensing rules were adjusted to the requirements of diagnostic pattern recognition. Proposed methodology of sparse disease patterns considers accuracy of sparse representation to estimate target content for detailed analysis. Semantics of sparse r

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Han, Wei, Ruisheng Wang, Daqing Huang, and Cheng Xu. "Large-Scale ALS Data Semantic Classification Integrating Location-Context-Semantics Cues by Higher-Order CRF." Sensors 20, no. 6 (2020): 1700. http://dx.doi.org/10.3390/s20061700.

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We designed a location-context-semantics-based conditional random field (LCS-CRF) framework for the semantic classification of airborne laser scanning (ALS) point clouds. For ALS datasets of high spatial resolution but with severe noise pollutions, more contexture and semantics cues, besides location information, can be exploited to surmount the decrease of discrimination of features for classification. This paper mainly focuses on the semantic classification of ALS data using mixed location-context-semantics cues, which are integrated into a higher-order CRF framework by modeling the probabil

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Liao, Yongxin, Mario Lezoche, Hervé Panetto, and Nacer Boudjlida. "Semantic annotations for semantic interoperability in a product lifecycle management context." International Journal of Production Research 54, no. 18 (2016): 5534–53. http://dx.doi.org/10.1080/00207543.2016.1165875.

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38

Singh, Satyendr, and Tanveer J. Siddiqui. "Role of Karaka Relations in Hindi Word Sense Disambiguation." Journal of Information Technology Research 8, no. 3 (2015): 21–42. http://dx.doi.org/10.4018/jitr.2015070102.

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Karakas are an important constituent of Hindi language. Karaka relations express syntactico-semantic or semantico-syntactic relationship between verbs and nouns or pronouns in a sentence. They capture certain level of semantics closer to thematic relations, but different from it. A vibhakti is assigned to each karaka, in Paninian grammar. This paper investigates the role of karaka relations in Hindi Word Sense Disambiguation (WSD) by utilizing vibhaktis. Two supervised WSD algorithms were used for disambiguation. The first algorithm is based on conditional probability of co-occurring words and

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39

Lei, Zeyang, Yujiu Yang, Min Yang, Wei Zhao, Jun Guo, and Yi Liu. "A Human-Like Semantic Cognition Network for Aspect-Level Sentiment Classification." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 6650–57. http://dx.doi.org/10.1609/aaai.v33i01.33016650.

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In this paper, we propose a novel Human-like Semantic Cognition Network (HSCN) for aspect-level sentiment classification, motivated by the principles of human beings’ reading cognitive process (pre-reading, active reading, post-reading). We first design a word-level interactive perception module to capture the correlation between context words and the given target words, which can be regarded as pre-reading. Second, to mimic the process of active reading, we propose a targetaware semantic distillation module to produce the targetspecific context representation for aspect-level sentiment predic

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Behrman, Alison, and Ali Akhund. "The Influence of Semantic Context on the Perception of Spanish-Accented American English." Journal of Speech, Language, and Hearing Research 56, no. 5 (2013): 1567–78. http://dx.doi.org/10.1044/1092-4388(2013/12-0192).

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Purpose In this article, the authors examine (a) the effect of semantic context on accentedness, comprehensibility, and intelligibility of Spanish-accented American English (AE) as judged by monolingual AE listeners and (b) the interaction of semantic context and accentedness on comprehensibility and intelligibility. Method Twenty adult native (L1) Spanish speakers proficient in AE and 4 L1 AE speakers (controls) read 48 statements consisting of true–false, semantically meaningful, and semantically anomalous sentences. Eighty monolingual AE listeners assessed accentedness, comprehensibility, a

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El Khamissy, Racha. "Reflections on the verbal form in –rait in the legal discourse: the case of the French Civil Code." Thélème. Revista Complutense de Estudios Franceses 34, no. 1 (2019): 153–71. http://dx.doi.org/10.5209/thel.60533.

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In the context of the linguistic study of authentic documents, the present work deals with verbal forms in –rait in the language of law, more precisely in a normative legislative discourse. The aim of this study is to interrogate the syntactic configurations and the semantic uses of this form in a normative legal corpus, in this case the French Civil Code, and to study them at the intersection of syntax and semantics to see if the syntactic contexts of use of this verb form have consequences in the semantic uses which are examined.

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Nieuwland, Mante S., and Jos J. A. Van Berkum. "When Peanuts Fall in Love: N400 Evidence for the Power of Discourse." Journal of Cognitive Neuroscience 18, no. 7 (2006): 1098–111. http://dx.doi.org/10.1162/jocn.2006.18.7.1098.

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In linguistic theories of how sentences encode meaning, a distinction is often made between the context-free rule-based combination of lexical-semantic features of the words within a sentence (“semantics”), and the contributions made by wider context (“pragmatics”). In psycholinguistics, this distinction has led to the view that listeners initially compute a local, context-independent meaning of a phrase or sentence before relating it to the wider context. An important aspect of such a two-step perspective on interpretation is that local semantics cannot initially be overruled by global contex

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Javed, Umair, Kamran Shaukat, Ibrahim A. Hameed, Farhat Iqbal, Talha Mahboob Alam, and Suhuai Luo. "A Review of Content-Based and Context-Based Recommendation Systems." International Journal of Emerging Technologies in Learning (iJET) 16, no. 03 (2021): 274. http://dx.doi.org/10.3991/ijet.v16i03.18851.

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In our work, we have presented two widely used recommendation systems. We have presented a context-aware recommender system to filter the items associated with user’s interests coupled with a context-based recommender system to prescribe those items. In this study, context-aware recommender systems perceive the user’s location, time, and company. The context-based recommender system retrieves patterns from World Wide Web-based on the user’s past interactions and provides future news recommendations. We have presented different techniques to support media recommendations for smartphones, to cre

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Cappelen, Herman, and Ernest Lepore. "A Tall Tale: In Defense of Semantic Minimalism and Speech Act Pluralism." Canadian Journal of Philosophy Supplementary Volume 30 (2004): 2–28. http://dx.doi.org/10.1080/00455091.2004.10717599.

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In Insensitive Semantics (2005), we argue for two theses: Semantic Minimalism and Speech Act Pluralism. In this paper, we outline our defense against two objections often raised against Semantic Minimalism. We begin with five stage-setting sections. These lead to the first objection, viz., that it might follow from our view that comparative adjectives are context insensitive. We defend our view against that objection (not, as you might expect, by denying that implication, but by endorsing it). Having done so, we address a second objection, viz., that Semantic Minimalism makes it difficult to s

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45

Effenberger, Charlotte. "Linguistic Approach to Semantic Correlation Rules." SHS Web of Conferences 102 (2021): 02004. http://dx.doi.org/10.1051/shsconf/202110202004.

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As communication between humans and machines in natural language still seems essential, especially for end users, Natural Language Processing (NLP) methods are used to classify and interpret this. NLP, as a technology, combines grammatical, semantical, and pragmatical analyses with statistics or machine learning to make language logically understandable by machines and to allow new interpretations of data in contrast to predefined logical structures. Some NLP methods do not go far beyond a retrieving of the indexation of content. Therefore, indexation is considered as a very simple linguistic

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46

Ito, Noriko, Toru Sugimoto, Yusuke Takahashi, Shino Iwashita, and Michio Sugeno. "Computational Models of Language Within Context and Context-Sensitive Language Understanding." Journal of Advanced Computational Intelligence and Intelligent Informatics 10, no. 6 (2006): 782–90. http://dx.doi.org/10.20965/jaciii.2006.p0782.

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We propose two computational models - one of a language within context based on systemic functional linguistic theory and one of context-sensitive language understanding. The model of a language within context called the Semiotic Base characterizes contextual, semantic, lexicogrammatical, and graphological aspects of input texts. The understanding process is divided into shallow and deep analyses. Shallow analysis consists of morphological and dependency analyses and word concept and case relation assignment, mainly by existing natural language processing tools and machine-readable dictionarie

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Johnson, Cynthia A., and Brian D. Joseph. "Morphology and syntax … and semantics … and pragmatics." Morphology and its interfaces 37, no. 2 (2014): 306–21. http://dx.doi.org/10.1075/li.37.2.08joh.

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Agreement minimally involves interaction between morphology and syntax, as a target’s features vary according to the morphological form of a controller in a given syntactic context. However, semantics can also play a role, and the term “semantic agreement” has been used to describe various constructions where morphosyntactic feature values of the agreement target do not match the formal features of the controller, reflecting instead meaning-based properties of the noun. In this paper, we deconstruct instances of “semantic agreement,” as there is good evidence to believe that more than just the

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48

Huang, Weihong, David Webster, Dawn Wood, and Tanko Ishaya. "An intelligent semantic e-learning framework using context-aware Semantic Web technologies." British Journal of Educational Technology 37, no. 3 (2006): 351–73. http://dx.doi.org/10.1111/j.1467-8535.2006.00610.x.

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Siolas, Giorgos, George Caridakis, Phivos Mylonas, Giorgos Stratogiannis, Stefanos Kollias, and Andreas Stafylopatis. "Context-Aware User Modeling and Semantic Interoperability in Smart Home Environments." International Journal of Virtual Communities and Social Networking 7, no. 3 (2015): 17–50. http://dx.doi.org/10.4018/ijvcsn.2015070102.

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The current paper provides an overview on how user modeling, context awareness and content adaptation in Smart Home environments may be handled formally in order to capture the semantics that emerge from a newly introduced user experience: SandS is in fact a complete ecosystem of users within a social network, creating and exchanging content in the form of so-called recipes and developing a collective intelligence which adapts its operation through appropriate feedback provided by the user. The authors will approach SandS from the user's perspective and illustrate how users and their relations

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Merkx, Danny, and Stefan L. Frank. "Learning semantic sentence representations from visually grounded language without lexical knowledge." Natural Language Engineering 25, no. 4 (2019): 451–66. http://dx.doi.org/10.1017/s1351324919000196.

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AbstractCurrent approaches to learning semantic representations of sentences often use prior word-level knowledge. The current study aims to leverage visual information in order to capture sentence level semantics without the need for word embeddings. We use a multimodal sentence encoder trained on a corpus of images with matching text captions to produce visually grounded sentence embeddings. Deep Neural Networks are trained to map the two modalities to a common embedding space such that for an image the corresponding caption can be retrieved and vice versa. We show that our model achieves re

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