Academic literature on the topic 'Implicit and explicit knowledge bases'
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Journal articles on the topic "Implicit and explicit knowledge bases"
Willingham, Daniel B., and Kelly Goedert-Eschmann. "The Relation Between Implicit and Explicit Learning: Evidence for Parallel Development." Psychological Science 10, no. 6 (November 1999): 531–34. http://dx.doi.org/10.1111/1467-9280.00201.
Full textDienes, Zoltan, Donald Broadbent, and Dianne C. Berry. "Implicit and explicit knowledge bases in artificial grammar learning." Journal of Experimental Psychology: Learning, Memory, and Cognition 17, no. 5 (1991): 875–87. http://dx.doi.org/10.1037/0278-7393.17.5.875.
Full textZhang, Yongjie, and Ansheng Deng. "Redundancy Reduction Algorithms in Rule-Based Knowledge Bases." International Journal of Pattern Recognition and Artificial Intelligence 30, no. 09 (November 2016): 1660011. http://dx.doi.org/10.1142/s0218001416600119.
Full textROGERS, JOHN, ANDREA RÉVÉSZ, and PATRICK REBUSCHAT. "Implicit and explicit knowledge of inflectional morphology." Applied Psycholinguistics 37, no. 4 (July 21, 2015): 781–812. http://dx.doi.org/10.1017/s0142716415000247.
Full textĎurišová, Libuše. "Vocational Education Based on Knowledge or Experience?" Lifelong Learning 1, no. 1 (2011): 22–32. http://dx.doi.org/10.11118/lifele2011010122.
Full textBornstein, Robert F. "Unconscious motivation and phenomenal knowledge: Toward a comprehensive theory of implicit mental states." Behavioral and Brain Sciences 22, no. 5 (October 1999): 758. http://dx.doi.org/10.1017/s0140525x99252181.
Full textLee, Joo Young, Sun Hwa Hahn, and Jung Sun Yoon. "A Study on the Knowledge Community for Creating and Sharing Implicit Knowledge." Key Engineering Materials 277-279 (January 2005): 331–36. http://dx.doi.org/10.4028/www.scientific.net/kem.277-279.331.
Full textDubravac, Vildana. "Explicit and implicit knowledge of English tenses of primary school EFL learners in Bosnia and Herzegovina." Strani jezici 51, no. 1 (2022): 77–104. http://dx.doi.org/10.22210/strjez/51-1/4.
Full textZereshki, Forouzan, and Ghafour Rezaie. "The Impact of Structured Input and Consciousness Raising Tasks on the Acquisition of Implicit and Explicit Knowledge of EFL Learners." International Journal of English Linguistics 8, no. 3 (February 5, 2018): 55. http://dx.doi.org/10.5539/ijel.v8n3p55.
Full textKoike, Asako, and Toshihisa Takagi. "Knowledge discovery based on an implicit and explicit conceptual network." Journal of the American Society for Information Science and Technology 58, no. 1 (2006): 51–65. http://dx.doi.org/10.1002/asi.20421.
Full textDissertations / Theses on the topic "Implicit and explicit knowledge bases"
Dwyer, Susan Jane. "Making "implicit" explicit--toward an account of implicit linguistic knowledge." Thesis, Massachusetts Institute of Technology, 1991. http://hdl.handle.net/1721.1/13442.
Full textHining, Josiane Basso. "Learning difficulty, L2 proficiency, and implicit and explicit knowledge." reponame:Repositório Institucional da UFSC, 2012. http://repositorio.ufsc.br/xmlui/handle/123456789/93704.
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Baseado na afirmação de que a replicação de estudos é um item importante na pauta da Linguística Aplicada, o presente estudo foi baseado no estudo de Ellis (2006) e teve como objetivo (1) examinar algumas estruturas gramaticais considerando a dificuldade de aprendizado dos alunos a partir de um escopo implícito e explícito, e (2) examinar a relação entre o conhecimento implícito e explícito das estruturas gramaticais investigadas neste estudo e a proficiência da L2. Os dados foram coletados na Universidade Federal de Santa Catarina, com 45 alunos estudantes de inglês como língua estrangeira. Todos os participantes fizeram os 4 testes propostos por Ellis (2006) e 31 fizeram um teste de proficiência (PET). A média dos resultados combinados foi calculada para comparar os resultados do conhecimento implícito e explícito em relação as 17 estruturas gramaticais investigadas. A análise estatística empregada demonstrou que a estrutura fácil para conhecimento implícito foi perguntas encaixadas (embedded questions). Para conhecimento explícito as estruturas fáceis foram: complemento verbal, desde/por, orações relativas, perguntas no final da frase (question tags), artigo indefinido, construções bitransitivas (dative alternation), comparativo, e 3ª. pessoa #s. Estruturas difíceis para conhecimento implícito foram: perguntas sim/não, condicionais irreais, desde/por, orações relativas, perguntas no final da frase (question tags), vii possessivo #s, plural #s, artigo indefinido e 3ª. pessoa #s. Além disso, correlações significativas foram encontradas entre os resultados das estruturas gramaticais e o teste de proficiência (PET). A análise de regressão múltipla demonstrou que ambos os tipos de conhecimento prevêem a proficiência da língua de um modo geral.
Based on the claim that the replication of studies is an important item in the agenda of Applied Linguistics, the present study aimed at determining the extent to which the findings of Ellis (2006) can be replicated in a context where participants are foreign language learners. More specifically, the present study aimed at (1) examining some grammatical structures in the light of students# learning difficulty towards an implicit and explicit scope, and (2) examining the relationship between implicit and explicit knowledge of the grammatical structures investigated here and general L2 proficiency. Data was gathered at Universidade Federal de Santa Catarina, from 45 Brazilian students of English as an L2. All participants performed the four tests proposed by Ellis (2006). Thirty-one participants volunteered to take the proficiency test (PET). Combined means scores were computed in order to compare the scores of implicit and explicit knowledge towards the seventeen grammatical structures investigated. The statistical analysis employed indicated that the easy structure for implicit knowledge was embedded questions, for explicit knowledge the easy structures found were: verb complement, since/for, relative clauses, question tags, indefinite article, dative alternation, comparative, and, 3rd person #s. Difficult structures for implicit knowledge were: yes/no questions, unreal conditionals, since/for, relative clauses, question tags, possessive #s, plural #s, indefinite article, and 3rd person #s. Moreover, significant correlations were found between the grammatical structures and the proficiency test (PET). A multiple regression analysis demonstrated that both types of knowledge predict general language proficiency.
Ziori, Eleni. "The effect of prior knowledge on implicit and explicit concept learning." Thesis, University of Sussex, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.366075.
Full textPerez, Lissette. "How output affects explicit and implicit knowledge of Spanish indirect object pronouns." Diss., Temple University Libraries, 2014. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/246515.
Full textPh.D.
Although many studies have suggested positive effects for speaking or output practice on L2 grammar development, the question of how speaking affects L2 grammar remains. This study specifically examines how output affects the explicit and implicit knowledge of Spanish indirect object pronouns (IOPs). It also investigates levels of L2 grammar development for participants with low, mid and high levels of background knowledge of Spanish subject-verb agreement. Eight participants were given explicit grammar instruction on the target structure followed by six paired output-focus activities. These included two information-gap tasks, a matching task, a partner interview, original sentence creation, and a dictogloss task. In each task participants were required to orally produce IOPs whether they were reading a prepared IOP or producing one originally based on a prompt. In order to capture qualitative data on the effectiveness of output, all paired interaction was transcribed and coded for language related episodes (LREs). In this study three types of LREs were identified: self-correction, other-correction and metatalk. Learners were also tested on IOPs immediately before instruction, immediately following and three weeks afterward. Quantitative data consisted of these results of pre, post, and delayed posttests, the number of IOPs produced during all instructional activities, and the percentage of correct IOPs produced compared to those omitted or produced incorrectly. Development of explicit knowledge was assessed by an untimed written picture description task, whereas implicit knowledge was assessed on the tests by a timed grammaticality judgment task. The results of the picture description task showed more consistent gains in development of explicit knowledge. The results of the grammaticality judgment task were more irregular and suggested less consistent gains in development of implicit knowledge. Together, quantitative and qualitative results suggest that explicit instruction followed by output practice was most effective for learners in this study with greater knowledge of subject-verb agreement. A comparison of qualitative results and test scores revealed that learners who showed more focus on the lexicon during instructional tasks and did not produce IOPs as often, and also had lower scores on both tests. Stronger learning outcomes were observed for learners who produced more IOPs, had a higher percentage of correct IOPs and were involved in LREs.
Temple University--Theses
Osorio, Ricardo M. Tamayo. "Sources of dissociation in the forgetting trajectories of implicit and explicit knowledge." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät II, 2009. http://dx.doi.org/10.18452/15867.
Full textIn this dissertation I investigate dissociations in the forgetting patterns of implicit and explicit knowledge. I claim that this approach may provide significant constraints for the assumption that a single system or mechanism determines both implicit and explicit processes. In the theoretical part, I construe a definition of implicit knowledge as information learned and retrieved without intention. I also explain the general role of single dissociations in theories of implicit knowledge. And I present an overview of the main lines of research concerned with the functions, operation, development, neural substrates, and forgetting patterns of implicit knowledge. In general, I argue that comparing the forgetting patterns of implicit and explicit knowledge may be best regarded from a graded perspective and may usefully bridge the gap between research on implicit learning and implicit memory. In a series of 4 Experiments university students were exposed to environmental regularities embedded in artificial grammar (AG) and serial reaction time (SRT) tasks. To compare the forgetting patterns, participants’ implicit (motor-performance based) and explicit (recognition based) knowledge was assessed before and after a retention interval. Taken together, the results indicate that explicit knowledge decays faster than implicit knowledge in both AG and SRT tasks. Furthermore, an interference task introduced instead of a retention interval produced the same pattern of dissociations. Finally, I conducted a set of simulations to asses the ability of a single-system model (Shanks, Wilkinson, & Channon, 2003) to account for my experimental results. The simulations showed that the model best fits the empirical data by introducing changes in the parameters related to (a) the common knowledge strength (for implicit and implicit knowledge), and (b) the reliability for the explicit test. In sum, my dissertation (1) suggests a conceptual framework for implicit and explicit knowledge, (2) provides new empirical evidence of dissociations in their forgetting patterns, and (3) identifies specific boundary conditions for a single-system model.
Taylor, Hazel Ann. "Risk management and tacit knowledge in IT projects: making the implicit explicit." Thesis, Queensland University of Technology, 2004. https://eprints.qut.edu.au/15907/1/Hazel_Ann_Taylor_Thesis.pdf.
Full textTaylor, Hazel Ann. "Risk management and tacit knowledge in IT projects: making the implicit explicit." Queensland University of Technology, 2004. http://eprints.qut.edu.au/15907/.
Full textNavarro, Lucas Fonseca. "Mining ontologies to extract implicit knowledge." Universidade Federal de São Carlos, 2016. https://repositorio.ufscar.br/handle/ufscar/8152.
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
With the exponentially growing of data available on the Web, several projects were created to automatically represent this information as knowledge bases(KBs). Knowledge bases used in most projects are represented in an ontology-based fashion, so the data can be better organized and easily accessible. It is common to map these KBs into a graph to apply graph mining algorithms to extract implicit knowledge from the KB, knowledge that sometimes is easy for human beings to infer but not so trivial to a machine. One common graph-based task is link prediction, which can be used not only to predict edges (new facts for the KB) that will appear in a near future, but also to nd misplaced edges (wrong facts present in the KB). In this project, we create algorithms that uses graph-mining (mostly link-prediction based) approaches to nd implicit knowledge from ontological knowledge bases. Despite of common graph-mining algorithms, we mine not just the facts on the KB, but also the ontology information (such as categories of instances and relations among them). The implicit knowledge that our algorithms will nd, is not just new facts for the KB, but also new relations and categories, extending the ontology as well.
Com o crescimento exponencial dos dados disponíveis na Web, diversos projetos foram criados para automaticamente representar esta informação como bases de conhecimento( KBs). As bases de conhecimento utilizadas na maioria destes projetos são representadas através de uma ontologia, então os dados são melhor organizados e facilmente acessíveis. E comum mapear estes KBs utilizando grafos para aplicação de algoritmos de mineração em grafos com o intuito de extrair conhecimento implícito do KB, conhecimento que as pode ser facil para seres humanos inferir mas não são tão triviais para uma maquina. Uma tarefa comum e a predição de arestas, que pode ser usada para encontrar arestas (fatos no KB) que vão aparecer em um futuro próximo, e além disso para encontrar arestas mal alocadas (fatos incorretos no KB). Neste projeto, criamos algoritmos que utilizam mineração em grafos (na maioria baseados em predição de arestas) para encontrar conhecimento implícito em bancos de conhecimento ontológicos. Apesar do uso comum de algoritmos de predição de arestas, vamos minerar também informações da ontologia (como categorias das instancias e relações entre elas). O conhecimento implícito que nossos algoritmos vai encontrar, serão não somente novos fatos para o KB, mas também novas relações e categorias, estendendo também a ontologia.
Correa, Maite. "Metalinguistic Knowledge and the Acquisition of the Spanish Subjunctive by Learners at Three Proficiency Levels." Diss., The University of Arizona, 2008. http://hdl.handle.net/10150/195552.
Full textZihlman, Kirk A. "Is physical practice necessary for parallel development of implicit and explicit sequence knowledge? Evidence from observational learning." Texas A&M University, 2005. http://hdl.handle.net/1969.1/3761.
Full textBooks on the topic "Implicit and explicit knowledge bases"
Dingli, Alexiei. Knowledge Annotation: Making Implicit Knowledge Explicit. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011.
Find full textDingli, Alexiei. Knowledge Annotation: Making Implicit Knowledge Explicit. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20323-7.
Full textDina, Tirosh, ed. Implicit and explicit knowledge: An educational approach. Norwood, N.J: Ablex Pub. Corp., 1994.
Find full textRebuschat, Patrick. Implicit and explicit learning of languages. Amsterdam: John Benjamins Publishing Company, 2015.
Find full textImplicit and explicit knowledge in second language learning, testing and teaching. Buffalo: Multilingual Matters, 2009.
Find full textSun, Ron. Exploring the interaction of implicit and explicit processes to facilitate individual skill learning. Arlington, Va: U.S. Army Research Institute for the Behavioral and Social Sciences, 2005.
Find full textDingli, Alexiei. Knowledge Annotation: Making Implicit Knowledge Explicit. Springer, 2011.
Find full textDingli, Alexiei. Knowledge Annotation: Making Implicit Knowledge Explicit. Springer Berlin / Heidelberg, 2013.
Find full textTirosh, Dina. Implicit & Explicit Knowledge: An Educational Approach (Human Development). Ablex Publishing, 1994.
Find full textRebuschat, Patrick. Implicit and Explicit Learning of Languages. Benjamins Publishing Company, John, 2015.
Find full textBook chapters on the topic "Implicit and explicit knowledge bases"
Dimitrov, Boyan N., and Peter G. Petrov. "Controlled Processes with Explicit or Implicit Breakdowns and Repeat Actions." In System Fault Diagnostics, Reliability and Related Knowledge-Based Approaches, 415–28. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3929-5_23.
Full textSchewe, Klaus-Dieter, and Qing Wang. "Towards an Integration of Probabilistic and Knowledge-Based Data Analysis Using Probabilistic Knowledge Patterns." In Implicit and Explicit Semantics Integration in Proof-Based Developments of Discrete Systems, 131–51. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5054-6_7.
Full textErlam, Rosemary, Shawn Loewen, and Jenefer Philp. "10. The Roles of Output-based and Input-based Instruction in the Acquisition of L2 Implicit and Explicit Knowledge." In Implicit and Explicit Knowledge in Second Language Learning, Testing and Teaching, 241–61. Bristol, Blue Ridge Summit: Multilingual Matters, 2009. http://dx.doi.org/10.21832/9781847691767-012.
Full textHe, Cheng, Chao Peng, Na Li, Xiang Chen, Zhengfeng Yang, and Zhenhao Hu. "CIFEF: Combining Implicit and Explicit Features for Friendship Inference in Location-Based Social Networks." In Knowledge Science, Engineering and Management, 168–80. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-55393-7_16.
Full textWannous, Rouaa, Cécile Vincent, Jamal Malki, and Alain Bouju. "An Ontology-Based Approach for Handling Explicit and Implicit Knowledge over Trajectories." In Communications in Computer and Information Science, 403–13. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23201-0_41.
Full textPantförder, Dorothea, Julia Schaupp, and Birgit Vogel-Heuser. "Making Implicit Knowledge Explicit – Acquisition of Plant Staff’s Mental Models as a Basis for Developing a Decision Support System." In Communications in Computer and Information Science, 358–65. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58750-9_50.
Full textEllis, Nick C. "Implicit and Explicit Knowledge About Language." In Language Awareness and Multilingualism, 113–24. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-02240-6_7.
Full textEllis, Nick C. "Implicit and Explicit Knowledge About Language." In Language Awareness and Multilingualism, 1–12. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-02325-0_7-1.
Full textEllis, Nick C. "Implicit and Explicit Knowledge About Language." In Language Awareness and Multilingualism, 1–12. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-02325-0_7-2.
Full textGodfroid, Aline. "Implicit and Explicit Learning and Knowledge." In Research Questions in Language Education and Applied Linguistics, 823–29. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79143-8_142.
Full textConference papers on the topic "Implicit and explicit knowledge bases"
Li, Jia, Yuyuan Zhao, Zhi Jin, Ge Li, Tao Shen, Zhengwei Tao, and Chongyang Tao. "SK2: Integrating Implicit Sentiment Knowledge and Explicit Syntax Knowledge for Aspect-Based Sentiment Analysis." In CIKM '22: The 31st ACM International Conference on Information and Knowledge Management. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3511808.3557452.
Full textRibeiro, Jandson S., and Matthias Thimm. "Consolidation via Tacit Culpability Measures: Between Explicit and Implicit Degrees of Culpability." In 18th International Conference on Principles of Knowledge Representation and Reasoning {KR-2021}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/kr.2021/50.
Full textLorini, Emiliano, Elise Perrotin, and François Schwarzentruber. "Epistemic Actions: Comparing Multi-agent Belief Bases with Action Models." In 19th International Conference on Principles of Knowledge Representation and Reasoning {KR-2022}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/kr.2022/24.
Full textMocanu, Ionela G. "On the Learnability of Knowledge in Multi-Agent Logics." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/685.
Full textYu, Hongyuan, Ting Li, Weichen Yu, Jianguo Li, Yan Huang, Liang Wang, and Alex Liu. "Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/328.
Full text"A Study of Neural and Fuzzy Parameters for Explicit and Implicit Knowledge-based Systems." In 1st International Workshop on Artificial Neural Networks: data preparation techniques and application development. SciTePress - Science and and Technology Publications, 2004. http://dx.doi.org/10.5220/0001149700490059.
Full textWang, Jin, Zhongyuan Wang, Dawei Zhang, and Jun Yan. "Combining Knowledge with Deep Convolutional Neural Networks for Short Text Classification." In Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/406.
Full textKristensen, Kjetil, and Hans Petter Hildre. "Developing New Methods of Improving Design Productivity by Focusing on Transitions Between Working Situations." In ASME 2001 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/imece2001/de-23281.
Full textShui, Changjian, Mahdieh Abbasi, Louis-Émile Robitaille, Boyu Wang, and Christian Gagné. "A Principled Approach for Learning Task Similarity in Multitask Learning." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/478.
Full textBraga, Julião, Francisco Regateiro, Joaquim L. R. Dias, and Itana Stiubiener. "A machine learning domain ontology to populate knowledge base to support intelligent agents working in autonomous systems domains of the Internet infrastructure." In Workshop Pré-IETF. Sociedade Brasileira de Computação, 2021. http://dx.doi.org/10.5753/wpietf.2021.15778.
Full textReports on the topic "Implicit and explicit knowledge bases"
Bilovska, Natalia. TACTICS OF APPROACHING THE AUTHOR CLOSER TO THE READER: INTERACTIVE COOPERATION. Ivan Franko National University of Lviv, February 2022. http://dx.doi.org/10.30970/vjo.2022.51.11408.
Full textde Kemp, E. A., H. A. J. Russell, B. Brodaric, D. B. Snyder, M. J. Hillier, M. St-Onge, C. Harrison, et al. Initiating transformative geoscience practice at the Geological Survey of Canada: Canada in 3D. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/331097.
Full textGuppy, Lisa, Paula Uyttendaele, Karen Villholth, and Vladimir Smakhtin. Groundwater and Sustainable Development Goals: Analysis of Interlinkages. United Nations University Institute for Water, Environment and Health, December 2018. http://dx.doi.org/10.53328/jrlh1810.
Full textA comparative analysis of anti-trafficking intervention approaches in Nepal. Population Council, 2000. http://dx.doi.org/10.31899/pgy2000.1000.
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