A System for Converting and Recovering Texts Managed as Structured Information
This paper introduces a system that incorporates several strategies based on scientific models of how the brain records and recovers memories. Methodologically, an incremental prototyping approach has been applied to develop a satisfactory architecture that can be adapted to any language. A special...
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| Published in: | Scientific reports Vol. 12; no. 1; p. 22249 |
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| Format: | Journal Article |
| Language: | English |
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23-12-2022
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| Abstract | This paper introduces a system that incorporates several strategies based on scientific models of how the brain records and recovers memories. Methodologically, an incremental prototyping approach has been applied to develop a satisfactory architecture that can be adapted to any language. A special case is studied and tested regarding the Spanish language. The applications of this proposal are vast because, in general, information such as text way, reports, emails, and web content, among others, is considered unstructured and, hence, the repositories based on SQL databases usually do not handle this kind of data correctly and efficiently. The conversion of unstructured textual information to structured one can be useful in contexts such as Natural Language Generation, Data Mining, and dynamic generation of theories, among others. |
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| AbstractList | This paper introduces a system that incorporates several strategies based on scientific models of how the brain records and recovers memories. Methodologically, an incremental prototyping approach has been applied to develop a satisfactory architecture that can be adapted to any language. A special case is studied and tested regarding the Spanish language. The applications of this proposal are vast because, in general, information such as text way, reports, emails, and web content, among others, is considered unstructured and, hence, the repositories based on SQL databases usually do not handle this kind of data correctly and efficiently. The conversion of unstructured textual information to structured one can be useful in contexts such as Natural Language Generation, Data Mining, and dynamic generation of theories, among others. Abstract This paper introduces a system that incorporates several strategies based on scientific models of how the brain records and recovers memories. Methodologically, an incremental prototyping approach has been applied to develop a satisfactory architecture that can be adapted to any language. A special case is studied and tested regarding the Spanish language. The applications of this proposal are vast because, in general, information such as text way, reports, emails, and web content, among others, is considered unstructured and, hence, the repositories based on SQL databases usually do not handle this kind of data correctly and efficiently. The conversion of unstructured textual information to structured one can be useful in contexts such as Natural Language Generation, Data Mining, and dynamic generation of theories, among others. |
| ArticleNumber | 22249 |
| Author | Ortiz, Marlly Yaneth Rojas Herrera, Richard de Jesus Gil Verdesoto, Edgardo Samuel Barraza |
| Author_xml | – sequence: 1 givenname: Edgardo Samuel Barraza surname: Verdesoto fullname: Verdesoto, Edgardo Samuel Barraza email: edgardo.barraza@correo.faba.edu.co organization: Universidad Americana de Europa (UNADE), Research Department, Tecnológica Autónoma de Bogotá (FABA), Universidad de Santander (UDES) – sequence: 2 givenname: Marlly Yaneth Rojas surname: Ortiz fullname: Ortiz, Marlly Yaneth Rojas organization: Research Department, Tecnológica Autónoma de Bogotá (FABA) – sequence: 3 givenname: Richard de Jesus Gil surname: Herrera fullname: Herrera, Richard de Jesus Gil organization: Universidad Internacional de la Rioja |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/36564471$$D View this record in MEDLINE/PubMed |
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| References | ElliGVLaneCBednyMA double dissociation in sensitivity to verb and noun semantics across cortical networksCereb. Cortex2019294803481710.1093/cercor/bhz014 Vial, L., Lecouteux, B. & Schwab, D. Sense vocabulary compression through the semantic knowledge of wordnet for neural word sense disambiguation. arXiv preprint arXiv:1905.05677 (2019). Khader, P., J. S., Scherag, A. & Rösler, F. Differences between noun and verb processing in a minimal phrase context: A semantic priming study using eventrelated brain potentials. Cognitive Brain Research17, 293—313, https://doi.org/10.1016/S0926-6410(03)00130-7 (2003). GattAKrahmerESurvey of the state of the art in natural language generation: Core tasks, applications and evaluationJ. Artif. Int. Res.2018616517037661991426.68265 GhidiniCGiunchigliaFLocal models semantics, or contextual reasoning=locality+compatibilityArtif. Intell.2001127221259183111110.1016/S0004-3702(01)00064-90969.68141 Kennedy, C. & McNally, L. Scale structure, degree modification, and the semantics of gradable predicates. Language 345–381 (2005). TylerLKMarslen-WilsonWFronto-temporal brain systems supporting spoken language comprehensionPhilos. Trans. R. Soc. B20083631037105410.1098/rstb.2007.2158 Guha, R. Contexts: A formalization and some applications (1992). Levelt, W. J. M. Speaking: From intention to articulation. The American Journal of Psychology (1990). Miles, R. & Hamilton, K. Learning UML 2.0 (O’Reilly, 2006). Barraza Verdesoto, E. S., Rivas Trujillo, E. & Rodríguez Molano, J. I. Model texts with svo sentences as a system composed. structure such as the spanish language. International Journal of Mechanical and Production Engineering Research and Development10, 16111–16118, https://doi.org/10.24247/ijmperdjun20201528 (2020). SaffranEMNeuropsychological approaches to the study of languageBr. J. Psychol.19827331733710.1111/j.2044-8295.1982.tb01815.x HerreraRJGMartin-BautistaMJA novel process-based kms success framework empowered by ontology learning technologyEng. Appl. Artif. Intell.20154529531210.1016/j.engappai.2015.06.025 Perez, N. & Cuadros, M. Multilingual call framework for automatic language exercise generation from free text. In Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 49–52 (2017). GomesWRitterVCTartterHGVaughanJRRosenJJLexical processing of visually and auditorily presented nouns and verbs: evidence from reaction time and n400 priming dataJ. Cogn. Neurosci.199761211341:STN:280:DyaK1c7htFSltA%3D%3D10.1016/S0926-6410(97)00023-2 ZhengWChasing language through the brain: Successive parallel networksClin. Neurophysiol.2021132809310.1016/j.clinph.2020.10.007 García-MéndezSFernández-GavilanesMCosta-MontenegroEJuncal-MartínezJGonzález-CastañoFJA library for automatic natural language generation of spanish textsExpert Syst. Appl.201912037238610.1016/j.eswa.2018.11.036 MillerGABeckwithRFellbaumCGrossDMillerKJIntroduction to wordnet: An on-line lexical databaseInt. J. Lexicogr.1990323524410.1093/ijl/3.4.235 Walker, M. A., Rambow, O. & Rogati, M. SPoT: A trainable sentence planner. In Second Meeting of the North American Chapter of the Association for Computational Linguistics (2001). SinghHLPConceptnet - a practical commonsense reasoning tool-kitBT Technol. J.20042221122610.1023/B:BTTJ.0000047600.45421.6d Martínez JiménezJAMuñoz MarquinaFSarrió MoraMÁLengua Castellana y Literatura, 362011MadridAkal Sociedad Anónima, Madrid, España DanieleAGiustolisiLSilveriMCColosimoCGainottiGEvidence for a possible neuroanatomical basis for lexical processing of nouns and verbsNeuropsychologia199432132513411:STN:280:DyaK2M7otlajtw%3D%3D10.1016/0028-3932(94)00066-2 Group, P. F. Visualization of wordnet using force-directed graphs (1991). ViglioccoGVinsonDPDruksJBarberHCappaSFNouns and verbs in the brain: A review of behavioural, electrophysiological, neuropsychological and imaging studiesNeurosci. Biobehav. Rev.20113540742610.1016/j.neubiorev.2010.04.007 LenatDBGuhaRVBuilding Large Knowledge-Based Systems; Representation and Inference in the Cyc Project1989Inc, USAAddison-Wesley Longman Publishing Co. GruberTRToward principles for the design of ontologies used for knowledge sharingInt. J. Hum.-Comput. Stud.19954390792810.1006/ijhc.1995.1081 BlythingLPCainKThe role of memory and language ability in children’s production of two-clause sentences containing before and afterJ. Exp. Child Psychol.2019182618510.1016/j.jecp.2019.01.011 YL. Shuea, C. V., P. Keatingb & Yub, K. Voicesauce: A program for voice analysis. In INTERNATIONAL CONGRESS OF PHONETIC SCIENCES (ICPhS, XVII), 1846–1849 (2011). Bick, E. A constraint grammar-based parser for spanish. In TIL (2006). Mabona, A., Rimell, L., Clark, S. & Vlachos, A. Neural generative rhetorical structure parsing. arXiv preprint arXiv:1909.11049 (2019). Tulving, E. Episodic and semantic memory. In Tulving, E. & Donaldson, W. (eds.) Organization of Memory, 381–403 (Academic Press, New York, 1972). Angeli, G., Liang, P. & Klein, D. A simple domain-independent probabilistic approach to generation. In Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 502–512 (2010). Kutlak, R., Mellish, C. & van Deemter, K. Content selection challenge - University of Aberdeen entry. In Proceedings of the 14th European Workshop on Natural Language Generation, 208–209 (Association for Computational Linguistics, Sofia, Bulgaria, 2013). Speer, R. & Havasi, C. Representing general relational knowledge in conceptnet 5. In LREC, 3679–3686 (European Language Resources Association (ELRA), Istanbul, Turkey, 2012). Cohn, P. M. Algebra, vol. 3 (Jhon Wiley & Sons, 1991). Barraza Verdesoto, E. S., Rivas Trujillo, E., Medina García, V. H. & Cardona Sánchez, D. Algebraic model to formalize sentences and their context: Use case scenario of the spanish language. In Applied Computer Sciences in Engineering, 182–193, https://doi.org/10.1007/978-3-030-00350-0_16 (2018). Reiter, E. & Dale, R. Building Natural Language Generation Systems (Cambridge University Press, 2000). UllmanMTA neural dissociation within language: Evidence that the mental dictionary is part of declarative memory and that grammatical rules are processed by the procedural systemJ. Cognitive Neurosci.199792662761:STN:280:DC%2BC3sbhsFeisQ%3D%3D10.1162/jocn.1997.9.2.266 Garrett, M. F. Syntactic processes in sentence production. In R. J. Wales, E. W. (ed.) New Approaches to Language Mechanisms, vol. 12, 231—255 (North Holland Publishing Company, Netherlands, 1976). Boeree, G. Basic language structures. Damasio, A. R. & Tranel, D. Nouns and verbs are retrieved with differently distributed neural systems. In Proceedings of the National Academy of Sciences U.S.A., vol. 90, 4957-4960, https://doi.org/10.1073/pnas.90.11.4957 (1993). SiriSThe neural substrate of naming events: Effects of processing demands but not of grammatical classCereb. Cortex20081817117710.1093/cercor/bhm043 HouSZhangSFeiCRhetorical structure theory: A comprehensive review of theory, parsing methods and applicationsExpert Syst. Appl.202015710.1016/j.eswa.2020.113421 AbbesHGargouriFMongodb-based modular ontology building for big data integrationJ. Data Semant.2017712710.1007/s13740-017-0081-z D’Souza, S. Parser extraction of triples in unstructured text. arXiv preprint arXiv:1811.05768 (2018). K. A. Shapiro, L. R. M. & Caramazza, A. Cortical signatures of noun and verb production. In Proceedings of the National Academy of Sciences U.S.A., vol. 103, 1644—1649, https://doi.org/10.1073/pnas.0504142103 (2006). Barzilay, R. & Lee, L. Catching the drift: Probabilistic content models, with applications to generation and summarization. In Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics: HLT-NAACL 2004, 113–120 (Association for Computational Linguistics, Boston, Massachusetts, USA, 2004). Cheng, H. & Mellish, C. Capturing the interaction between aggregation and text planning in two generation systems. In INLG’2000 Proceedings of the First International Conference on Natural Language Generation, 186–193, https://doi.org/10.3115/1118253.1118279 (Association for Computational Linguistics, Mitzpe Ramon, Israel, 2000). FellbaumCEnglish verbs as a semantic netInt. J. Lexicogr.1990327830110.1093/ijl/3.4.278 Bollegala, D., Okazaki, N. & Ishizuka, M. A bottom-up approach to sentence ordering for multi-document summarization. In Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, 385–392, https://doi.org/10.3115/1220175.1220224 (Association for Computational Linguistics, Sydney, Australia, 2006). Bouayad-Agha, N., Casamayor, G., Wanner, L. & Mellish, C. Overview of the first content selection challenge from open semantic web data. In Proceedings of the 14th European Workshop on Natural Language Generation, 98–102 (Association for Computational Linguistics, Sofia, Bulgaria, 2013). LapataMAutomatic evaluation of information ordering: Kendall’s tauComput. Linguist.20063247148410.1162/coli.2006.32.4.4711234.68418 FengSQiRYangJYuAYangYNeural correlates for nouns and verbs in phrases during syntactic and semantic processing: An fmri studyJournal of Neurolinguistics20205310.1016/j.jneuroling.2019.100860 Palmirani, M., Bincoletto, G., Leone, V., Sapienza, S. & Sovrano, F. Hybrid refining approach of pronto ontology. In International Conference on Electronic Government and the Information Systems Perspective, 3–17 (Springer, 2020). Guo, K. & Ma, J. Semantic-based heterogeneous multimedia big data retrieval. In Li, K., Jiang, H., Yang, L. T. & Cuzzocrea, A. (eds.) Big Data - Algorithms, Analytics, and Applications, 18 (Chapman and Hall/CRC, New York, 2015). MannWCThompsonSARhetorical structure theory: Toward a functional theory of text organizationText - Interdiscip. J. Study Discourse1988824328110.1515/text.1.1988.8.3.243 D. C. Bradley, M. F. G. & Zurif, EM Saffran (26304_CR16) 1982; 73 26304_CR17 A Daniele (26304_CR23) 1994; 32 G Vigliocco (26304_CR32) 2011; 35 DB Lenat (26304_CR7) 1989 H Abbes (26304_CR9) 2017; 7 26304_CR60 26304_CR62 G Miceli (26304_CR19) 1988; 2 LP Blything (26304_CR33) 2019; 182 26304_CR67 26304_CR24 S Hou (26304_CR55) 2020; 157 26304_CR63 26304_CR64 26304_CR65 26304_CR22 S Siri (26304_CR25) 2008; 18 MT Ullman (26304_CR30) 1997; 9 GA Miller (26304_CR40) 1990; 3 26304_CR66 C Ghidini (26304_CR5) 2001; 127 26304_CR49 TR Gruber (26304_CR10) 1995; 43 26304_CR50 26304_CR51 26304_CR4 26304_CR6 26304_CR12 26304_CR56 26304_CR13 26304_CR57 26304_CR1 26304_CR14 26304_CR2 26304_CR15 26304_CR59 26304_CR52 26304_CR54 26304_CR11 HLP Singh (26304_CR37) 2004; 22 26304_CR38 26304_CR39 JA Martínez Jiménez (26304_CR47) 2011 M Lapata (26304_CR61) 2006; 32 A Gatt (26304_CR46) 2018; 61 WC Mann (26304_CR53) 1988; 8 L Wanner (26304_CR58) 2015; 32 LK Tyler (26304_CR26) 2008; 363 G Miceli (26304_CR20) 1984; 20 26304_CR45 A Gatt (26304_CR68) 2018; 61 26304_CR48 S Feng (26304_CR18) 2020; 53 26304_CR42 AK Jain (26304_CR3) 1998; 31 26304_CR43 W Gomes (26304_CR35) 1997; 6 S García-Méndez (26304_CR44) 2019; 120 26304_CR27 26304_CR28 26304_CR29 GV Elli (26304_CR31) 2019; 29 RJG Herrera (26304_CR8) 2015; 45 C Fellbaum (26304_CR41) 1990; 3 26304_CR34 W Zheng (26304_CR21) 2021; 132 26304_CR36 |
| References_xml | – ident: 26304_CR11 – volume: 18 start-page: 171 year: 2008 ident: 26304_CR25 publication-title: Cereb. Cortex doi: 10.1093/cercor/bhm043 contributor: fullname: S Siri – volume: 3 start-page: 278 year: 1990 ident: 26304_CR41 publication-title: Int. J. Lexicogr. doi: 10.1093/ijl/3.4.278 contributor: fullname: C Fellbaum – volume-title: Lengua Castellana y Literatura, 36 year: 2011 ident: 26304_CR47 contributor: fullname: JA Martínez Jiménez – ident: 26304_CR67 – ident: 26304_CR65 doi: 10.1353/lan.2005.0071 – ident: 26304_CR28 – volume: 22 start-page: 211 year: 2004 ident: 26304_CR37 publication-title: BT Technol. J. doi: 10.1023/B:BTTJ.0000047600.45421.6d contributor: fullname: HLP Singh – ident: 26304_CR1 doi: 10.11591/ijai.v5.i4.pp143-148 – volume: 61 start-page: 65 year: 2018 ident: 26304_CR68 publication-title: J. Artif. Int. Res. contributor: fullname: A Gatt – volume: 29 start-page: 4803 year: 2019 ident: 26304_CR31 publication-title: Cereb. Cortex doi: 10.1093/cercor/bhz014 contributor: fullname: GV Elli – ident: 26304_CR45 doi: 10.1007/978-3-030-58957-8_1 – volume: 32 start-page: 1325 year: 1994 ident: 26304_CR23 publication-title: Neuropsychologia doi: 10.1016/0028-3932(94)00066-2 contributor: fullname: A Daniele – ident: 26304_CR27 doi: 10.7551/mitpress/6393.001.0001 – volume: 32 start-page: 471 year: 2006 ident: 26304_CR61 publication-title: Comput. Linguist. doi: 10.1162/coli.2006.32.4.471 contributor: fullname: M Lapata – ident: 26304_CR15 – ident: 26304_CR57 – volume-title: Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project year: 1989 ident: 26304_CR7 contributor: fullname: DB Lenat – ident: 26304_CR38 – volume: 2 start-page: 351 year: 1988 ident: 26304_CR19 publication-title: Aphasiology doi: 10.1080/02687038808248937 contributor: fullname: G Miceli – volume: 182 start-page: 61 year: 2019 ident: 26304_CR33 publication-title: J. Exp. Child Psychol. doi: 10.1016/j.jecp.2019.01.011 contributor: fullname: LP Blything – volume: 53 year: 2020 ident: 26304_CR18 publication-title: Journal of Neurolinguistics doi: 10.1016/j.jneuroling.2019.100860 contributor: fullname: S Feng – volume: 20 start-page: 207 year: 1984 ident: 26304_CR20 publication-title: Cortex doi: 10.1016/S0010-9452(84)80038-6 contributor: fullname: G Miceli – ident: 26304_CR43 – ident: 26304_CR60 – volume: 61 start-page: 65 year: 2018 ident: 26304_CR46 publication-title: J. Artif. Int. Res. contributor: fullname: A Gatt – volume: 363 start-page: 1037 year: 2008 ident: 26304_CR26 publication-title: Philos. Trans. R. Soc. B doi: 10.1098/rstb.2007.2158 contributor: fullname: LK Tyler – volume: 8 start-page: 243 year: 1988 ident: 26304_CR53 publication-title: Text - Interdiscip. J. Study Discourse doi: 10.1515/text.1.1988.8.3.243 contributor: fullname: WC Mann – volume: 7 start-page: 1 year: 2017 ident: 26304_CR9 publication-title: J. Data Semant. doi: 10.1007/s13740-017-0081-z contributor: fullname: H Abbes – ident: 26304_CR54 doi: 10.18653/v1/D19-1233 – ident: 26304_CR63 doi: 10.3115/1073336.1073339 – volume: 132 start-page: 80 year: 2021 ident: 26304_CR21 publication-title: Clin. Neurophysiol. doi: 10.1016/j.clinph.2020.10.007 contributor: fullname: W Zheng – ident: 26304_CR50 – volume: 43 start-page: 907 year: 1995 ident: 26304_CR10 publication-title: Int. J. Hum.-Comput. Stud. doi: 10.1006/ijhc.1995.1081 contributor: fullname: TR Gruber – ident: 26304_CR29 doi: 10.7551/mitpress/1615.003.0016 – ident: 26304_CR36 – ident: 26304_CR13 – ident: 26304_CR59 – volume: 3 start-page: 235 year: 1990 ident: 26304_CR40 publication-title: Int. J. Lexicogr. doi: 10.1093/ijl/3.4.235 contributor: fullname: GA Miller – volume: 9 start-page: 266 year: 1997 ident: 26304_CR30 publication-title: J. Cognitive Neurosci. doi: 10.1162/jocn.1997.9.2.266 contributor: fullname: MT Ullman – ident: 26304_CR34 doi: 10.1016/S0926-6410(03)00130-7 – ident: 26304_CR12 doi: 10.18653/v1/E17-3013 – ident: 26304_CR52 doi: 10.1007/978-3-030-00350-0_16 – volume: 157 year: 2020 ident: 26304_CR55 publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2020.113421 contributor: fullname: S Hou – volume: 35 start-page: 407 year: 2011 ident: 26304_CR32 publication-title: Neurosci. Biobehav. Rev. doi: 10.1016/j.neubiorev.2010.04.007 contributor: fullname: G Vigliocco – ident: 26304_CR42 – volume: 127 start-page: 221 year: 2001 ident: 26304_CR5 publication-title: Artif. Intell. doi: 10.1016/S0004-3702(01)00064-9 contributor: fullname: C Ghidini – volume: 120 start-page: 372 year: 2019 ident: 26304_CR44 publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2018.11.036 contributor: fullname: S García-Méndez – volume: 32 start-page: 405 year: 2015 ident: 26304_CR58 publication-title: Expert. Syst. doi: 10.1111/exsy.12100 contributor: fullname: L Wanner – volume: 73 start-page: 317 year: 1982 ident: 26304_CR16 publication-title: Br. J. Psychol. doi: 10.1111/j.2044-8295.1982.tb01815.x contributor: fullname: EM Saffran – ident: 26304_CR4 doi: 10.1007/11428817_21 – ident: 26304_CR64 doi: 10.3115/1118253.1118279 – ident: 26304_CR51 – ident: 26304_CR24 doi: 10.1073/pnas.0504142103 – ident: 26304_CR48 doi: 10.24247/ijmperdjun20201528 – ident: 26304_CR62 doi: 10.3115/1220175.1220224 – ident: 26304_CR66 – volume: 45 start-page: 295 year: 2015 ident: 26304_CR8 publication-title: Eng. Appl. Artif. Intell. doi: 10.1016/j.engappai.2015.06.025 contributor: fullname: RJG Herrera – ident: 26304_CR49 – ident: 26304_CR6 – ident: 26304_CR2 – ident: 26304_CR56 doi: 10.1017/CBO9780511519857 – volume: 6 start-page: 121 year: 1997 ident: 26304_CR35 publication-title: J. Cogn. Neurosci. doi: 10.1016/S0926-6410(97)00023-2 contributor: fullname: W Gomes – volume: 31 start-page: 2055 year: 1998 ident: 26304_CR3 publication-title: Pattern Recogn. doi: 10.1016/S0031-3203(98)00067-3 contributor: fullname: AK Jain – ident: 26304_CR22 doi: 10.1073/pnas.90.11.4957 – ident: 26304_CR39 – ident: 26304_CR14 – ident: 26304_CR17 doi: 10.1016/0093-934X(80)90056-5 |
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| Title | A System for Converting and Recovering Texts Managed as Structured Information |
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