L. Pineda, G. Garza (2000). A Model for Multimodal Reference Resolution, Computational  Linguistics 26 (2), pp: 136–192. MIT Press. ISSN: 0891–2017.

  1. Citation (APA Style): Bamiro, N.B., Zakariya, Z., Yahya, L.O., Mohammed, A.O. (2024). Enhancing economics education through phenomenography, variation theory, and multiple representations. Jurnal Pendidikan Teknologi dan Kejuruan, 30(2), 259-274. https://doi.org/10.21831/jptk.v30i2.72900Balasundram, N., & Karpudewan, M. (2021).
  2. Exploring the use of a writing-to-learn activity embedded with multiple modes using ‘Popplet’on pre-university students’ alternative conceptions on transition metals. Chemistry Education Research and Practice, 22(2), 263-281.
  3. Abdüsselam, M. S., & Turan-Güntepe , E. (2021). Examination of the Transitions between Modal Representations in Coding Training . International Journal of Computer Science Education in Schools, 5(1), 3 - 15. https://doi.org/10.21585/ijcses.v5i1.125
  4. Sikitime, T. E. (2021). A Study on multimodal affordances and the interpretative perspectives of level 300 Media Studies Students (Doctoral dissertation).
  5. Klein, P. D., & van Dijk, A. (2019). Writing as a Learning Activity. In J. Dunlosky & K. A. Rawson (Eds.), CAMBRIDGE HANDBOOK OF COGNITION AND EDUCATION (pp. 266–291).
  6. J. R. Hobbs, “An Ontology of Information Structure.”
  7. P. Blache, “Vers une théorie cognitive de la langue basée sur les contraintes,” 2003.
  8. Blache, P., & Prévot, L. (2010). A formal scheme for multimodal grammars. In Coling 2010 - 23rd International Conference on Computational Linguistics, Proceedings of the Conference (Vol. 2, pp. 63–71). Retrieved from https://www.scopus.com/inward/record.uri?eid=2-s2.0-80053403117&partnerID=40&md5=fcfbd1beb27ad18f7cdbb62870cf4175
  9. Chen, X., & Xu, N. (2006). A multimodal reference resolution approach in virtual environment. In Zha, H and Pan, ZG and Thwaites, H and Addison, AC and Forte, M (Ed.), INTERACTIVE TECHNOLOGIES AND SOCIOTECHNICAL SYSTEMS (Vol. 4270, pp. 11–20).
  10. Kennington, C., & Schlangen, D. (2017). A simple generative model of incremental reference resolution for situated dialogue. COMPUTER SPEECH AND LANGUAGE, 41, 43–67. https://doi.org/10.1016/j.csl.2016.04.002
  11. Choumane, A., & Siroux, J. (2007). About several Reference Processings in Multimodal Human-Computer Communication. Retrieved from https://hal.inria.fr/inria-00143192
  12. Calvo, H., & Gelbukh, A. (2002). Action-request dialogue understanding system. JU Sossa Azuela et Al, 231–242. Retrieved from https://www.academia.edu/download/30768461/cic2k2.pdf
  13. Li, W., & Chen, S. (2013). An automated reasoning method on first-order tense logic. In Proceedings - International Conference on Machine Learning and Cybernetics (Vol. 4, pp. 1706–1711). https://doi.org/10.1109/ICMLC.2013.6890873
  14. Li, W., & Chen, S. (2013). AN AUTOMATED REASONING METHOD ON FIRST-ORDER TENSE LOGIC. In PROCEEDINGS OF 2013 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS (ICMLC), VOLS 1-4 (pp. 1706–1711).
  15. Myburgh, B. (2012). AN ONTOLOGY OF INFORMATION SYSTEMS ENGINEERING AND STAGES. Isi.Edu. Retrieved from https://www.isi.edu/~hobbs/corfu-info.pdf
  16. Demirbag, M., & Gunel, M. (2014). Argümantasyon tabanli{dotless} fen eǧitimi sürecine modsal betimleme entegrasyonunun akademik başari{dotless}, argüman kurma ve yazma becerilerine etkisi. Kuram ve Uygulamada Egitim Bilimleri, 14(1), 386–391. https://doi.org/10.12738/estp.2014.1.1632
  17. Gelbukh, A., & Calvo, H. (2018). Automatic Syntactic Analysis Based on Selectional Preferences. In AUTOMATIC SYNTACTIC ANALYSIS BASED ON SELECTIONAL PREFERENCES (Vol. 765, pp. 1–165). https://doi.org/10.1007/978-3-319-74054-6
  18. Gunel, M., Hand, B., Education, S. G.-S., & 2006, undefined. (n.d.). Comparing student understanding of quantum physics when embedding multimodal representations into two different writing formats: Presentation format versus. Wiley Online Library. Retrieved from https://onlinelibrary.wiley.com/doi/abs/10.1002/sce.20160
  19. Politécnico Nacional México Gelbukh, I. (2002). Computación y Sistemas On Coherente Maintenance in Human-Machine Dialogue whit Contextual Ellipses. Redalyc.Org, 5(3), 204–214. Retrieved from http://www.redalyc.org/articulo.oa?id=61550305
  20. Landragin, F. (2013). Dialogue homme-machine Conception et enjeux. Retrieved from https://books.google.com/books?hl=en&lr=&id=rphfAgAAQBAJ&oi=fnd&pg=PA5&ots=lglTM_aVh3&sig=y97LDviI_SruM4AYliNlN6nNWZU
  21. Landragin, F. (2013). Dialogue homme-machine multimodal : de la pragmatique linguistique à la conception de systèmes. Retrieved from https://tel.archives-ouvertes.fr/tel-00848533
  22. Futrelle, R. P., & Rumshisky, A. (2001). Discourse structure of text-graphics documents. In 1st International Symposium on Smart Graphics (pp. 31–38). Retrieved from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.12.7441&rep=rep1&type=pdf
  23. Goldberg, S., Rich, J., & Masnick, A. (2015). Efficacy of a Metacognitive Writing-to-Learn Exercise in Improving Student Understanding and Performance in an Engineering Statics Course. In peer.asee.org (pp. 26.587.1-26.587.11). https://doi.org/10.18260/p.23925
  24. Rowe, N. C. (2011). Exploiting Captions for Multimedia Data Mining. In Encyclopedia of Multimedia Technology and Networking, Second Edition (pp. 546–551). https://doi.org/10.4018/978-1-60566-014-1.ch073
  25. Rowe, N. C. (2011). Exploiting Captions for Web Data Mining. In Web Mining. https://doi.org/10.4018/9781591404149.ch006
  26. Ko, M. S. (2015). Exploration of the Strategy in Constructing Visualization Used by Pre-service Elementary School Teachers in Making Science Video Clip for Flipped Learning - Focusing on Earth Science -. Journal of The Korean Association For Science Education, 35(2), 231–245. https://doi.org/10.14697/jkase.2015.35.2.0231
  27. Rowe, N. C. (2002). Finding and labeling the subject of a captioned depictive natural photograph. IEEE Transactions on Knowledge and Data Engineering, 14(1), 202–207. https://doi.org/10.1109/69.979983
  28. July, P. (2003). Generating References in Hierarchical Domains : the Case of Document Deixis Ivandré Paraboni, (July).
  29. Landragin, F. (n.d.). Human-Machine Dialogue Design and Challenges. fred.landragin.free.fr. Retrieved from http://fred.landragin.free.fr/publi/13_WILEY.pdf 
  30. Kennington, C. (2016). Incrementally resolving references in order to identify visually present objects in a situated dialogue setting. Retrieved from https://pub.uni-bielefeld.de/record/2902194
  31. Kennington, C., Iida, R., Tokunaga, T., & Schlangen, D. (2015). Incrementally tracking reference in human/human dialogue using linguistic and extra-linguistic information. In NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference (pp. 272–282). Retrieved from https://www.scopus.com/inward/record.uri?eid=2-s2.0-84959285161&partnerID=40&md5=e146f82835acfcc3b70569d004b7b703
  32. Demirbag, M., & Gunel, M. (2014). Integrating argument-based science inquiry with modal representations: Impact on science achievement, argumentation, and writing skills [Argümantasyon tabanli{dotless} fen eǧitimi sürecine modsal betimleme entegrasyonunun akademik başari{dotless}, argüman. Kuram ve Uygulamada Egitim Bilimleri, 14(1), 386–391. https://doi.org/10.12738/estp.2014.1.1632
  33. Lebowitz, M. (1983). Intelligent Information Systems. ACM SIGIR Forum, 17(4), 25–30. https://doi.org/10.1145/1013230.511799
  34. Choumane, A., & Siroux, J. (2007). Interpretation of multimodal designation with imprecise gesture. In IET Conference Publications (pp. 232–238). https://doi.org/10.1049/cp:20070374
  35. Aslan, S. (2015). Laboratuar Uygulamalarını Farklı Şekillerde Raporlaştırmanın Kavramsal Anlamaya ve Modsal Betimleme Kullanımına Etkisi. Erzincan Üniversitesi Eğitim Fakültesi Dergisi, 17(1), 73. https://doi.org/10.17556/jef.08506
  36. Aslan, S. (2015). Laboratuar Uygulamalarını Farklı Şekillerde Raporlaştırmanın Kavramsal Anlamaya ve Modsal Betimleme Kullanımına Etkisi. Erzincan Üniversitesi Eğitim Fakültesi Dergisi, 17(1), 73. https://doi.org/10.17556/jef.08506
  37. Dupont, V., & Bestgen, Y. (2006). Learning from technical documents: The role of intermodal referring expressions. Human Factors, 48(2), 257–264. https://doi.org/10.1518/001872006777724462
  38. Lund, K., & Bécu-Robinault, K. (2010). Learning physics as coherently packaging multiple sets of signs. In Learning in the Disciplines: ICLS 2010 Conference Proceedings - 9th International Conference of the Learning Sciences (Vol. 1, pp. 404–411). Retrieved from https://www.scopus.com/inward/record.uri?eid=2-s2.0-84880567924&partnerID=40&md5=0b14d247240c5453f6bcea82f4a118ea
  39. TASSÉ, S. (2014). L’EFFET DE L’ILLUSTRATION SUR LE TRAITEMENT DU PRONOM EN TEMPS RÉEL LORS DE LA LECTURE DE COURTS TEXTES. Retrieved from http://www.archipel.uqam.ca/6951/1/D2724.pdf
  40. Landragin, F. (2013). Man-Machine Dialogue: Design and Challenges. In MAN-MACHINE DIALOGUE: DESIGN AND CHALLENGES (pp. 1–210).
  41. Rowe, N. C. (1998). Mapping between image regions and caption concepts of captioned depictive photographs. Retrieved from www.aaai.org
  42. Campbell, G. (2009). MediaHub: Bayesian Decision-making in an Intelligent Multimodal Distributed Platform Hub. Computing. Retrieved from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.466.674&rep=rep1&type=pdf
  43. Blache, P. (n.d.). Meta-level constraints for representing interaction between linguistic domains.
  44. Blache, P. (2003). Meta-Level Contstraints for Linguistic Domain Interaction. In Proceedings of the Eighth International Conference on Parsing Technologies (pp. 245–246). Retrieved from https://hal.archives-ouvertes.fr/hal-00244501
  45. Ramani, K., Iyer, N., Lou, K., & Jayanti, S. (2004). Methods, systems, and data structures for performing searches on three dimensional objects. Google Patents. Retrieved from https://patents.google.com/patent/US9348877B2/en
  46. Gunel, M., & Yesildag-Hasancebi, F. (2016). Modal Representations and their Role in the Learning Process: A Theoretical and Pragmatic Analysis. EDUCATIONAL SCIENCES-THEORY & PRACTICE, 16(1), 109–126. https://doi.org/10.12738/estp.2016.1.0054
  47. Landragin, F. (2007). Modélisation du sens et du contexte sur la base de représentations des objets référés. Retrieved from https://halshs.archives-ouvertes.fr/halshs-00137950
  48. Gelbukh, A., & Calvo, H. (2003). Natural languaje interface framework for spatial object composition systems. Procesamiento Del Lenguaje Natural, (31), 285–292. Retrieved from www.gelbukh.com
  49. Hajnicz, E. (n.d.). PRACE IPI PAN ICS PAS REPORTS. rbc.ipipan.waw.pl. Retrieved from http://www.iplpan.waw.pl
  50. Modélisation, A. I.-J. de S. et. (n.d.). QUANTIFICATION OVER EVENTS, PRESUPPOSITIONALITY & CONTRASTIVITY. Signes.Labri.Fr. Retrieved from https://signes.labri.fr/SEBOSEFOR/jsm/livret-jsm-folio.pdf#page=31
  51. Guénot, M.-L., & Bellengier, E. (2007). Quelques principes pour une grammaire multimodale non-modulaire du français Quelques principes pour une grammaire multimodale non-modulaire du français Mots-clefs-Keywords Analyse multimodale-Linguistique formelle-Développement de grammaire-Grammaires de . Retrieved from https://hal.archives-ouvertes.fr/hal-00134196
  52. Lauth, B. (1989). Reference problems in stoichiometry. Erkenntnis, 30(3), 339–362. https://doi.org/10.1007/BF00168285
  53. He, D., Ritchie, G., & Lee, J. (2008). References to graphical objects in interactive multimodal queries. KNOWLEDGE-BASED SYSTEMS, 21(7), 617–628. https://doi.org/10.1016/j.knosys.2008.03.023
  54. Van Deemter, K. (1998). Representations for Multimedia Coreference. Retrieved from https://pdfs.semanticscholar.org/1143/4e6be5b481fd47bbdd560f0ccd676935bfe2.pdf Language, K. van D.-P. of 14th T. W. on, & 1998, U. (n.d.). Retrieving pictures for document generation. Academia.Edu. Retrieved from Bhatt, P., Fitch, B., & LeBlanc, J. (2000). Texte--Editions Trintexte
  55. Song, M. Y. (2013). THE DESIGN AND EVALUATION OF A TEMPORAL-AURAL-VISUAL REPRESENTATION TO SUPPORT MIDDLE SCHOOL STUDENTS’ CONCEPTUALIZATION OF THE RANGE OF IMPERCEPTIBLE SIZES. Retrieved from https://deepblue.lib.umich.edu/handle/2027.42/99991
  56. Song, M. (2013). The Design and Evaluation of a Temporal-aural-visual Representation to Support Middle School Students’ Conceptualization of the Range of Imperceptible Sizes. Retrieved from https://deepblue.lib.umich.edu/handle/2027.42/99991
  57. Cho, H. S., Nam, J., & Lee, D. (2014). The Development of Argument-based Modeling Strategy Using Scientific Writing. Journal of The Korean Association For Research In Science Education, 34(5), 479–490.
  58. Jang, J. Y. (2012). The effect of using a Structured Reading Framework on middle school students’ conceptual understanding within the science writing heuristic approach. Dissertation Abstracts International Section A: Humanities and Social Sciences, 72(12-A), 4502. https://doi.org/10.17077/etd.ua05roc7
  59. Santana Sepulveda, J. S. (1999). The generation of coordinated natural language and graphical explanations in design environments. PQDT - UK & Ireland. Retrieved from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.17.5905&rep=rep1&type=pdf
  60. Nam, Jeong-Hee;Cho, Dong-Won;Lee, H.-S. (2011). The Impact of Argumentation-based General Chemistry Laboratory Programs on Multimodal Representation and Embeddedness in University Students’ Science Writing. Journal of The Korean Association For Science Education, 31(6), 931–941. https://doi.org/10.14697/jkase.2011.31.6.931
  61. Neal, T. A. (2018). The impact of argument-based learning environments on early learners’ multimodal representations. Dissertation Abstracts International, 78(12-A(E), Sefe. https://doi.org/10.17077/etd.ggli42bg
  62. Ostrom, E. (2015). THE IMPACT OF EMBEDDING MULTIPLE MODES OF REPRESENTATION ON STUDENT CONSTRUCTION OF CHEMISTRY KNOWLEDGE. Journal of Chemical Information and Modeling. https://doi.org/10.1017/CBO9781107415324.004
  63. McDermott, M. A., & Hand, B. (2013). The impact of embedding multiple modes of representation within writing tasks on high school students’ chemistry understanding. INSTRUCTIONAL SCIENCE, 41(1), 217–246. https://doi.org/10.1007/s11251-012-9225-6
  64. Nam, J. H., Lee, D. W., & Nam, Y. H. (2012). The impact of multimodal representation-based lesson on embeddedness of multimodal representation in high school students’ writing. Journal of the Korean Chemical Society, 56(4), 500–508. https://doi.org/10.5012/jkcs.2012.56.4.500
  65. Cho, H. S., & Nam, J. (2014). The Impact of the Argument-based Modeling Strategy using Scientific Writing implemented in Middle School Science. Journal of The Korean Association For Research In Science Education, 34(6), 583–592. https://doi.org/10.14697/jkase.2014.34.6.0583
  66. Lund, K. (2007). The importance of gaze and gesture in interactive multimodal explanation. LANGUAGE RESOURCES AND EVALUATION, 41(3–4), 289–303. https://doi.org/10.1007/s10579-007-9058-0
  67. Hobbs, J. R., & Mulkar-Mehta, R. (2013). Toward a formal theory of information structure. Evolution of Semantic Systems. https://doi.org/10.1007/978-3-642-34997-3
  68. Choumane, A., Siroux, J., & Guerrero-Bote, V. P. (2006). Toward a Generic Model Including knowledge and Treatments for Multimodal References Resolution Current Research in Information Sciences and Technologies Multidisciplinary Approaches to Global Information Systems. ali.choumane.free.fr. Retrieved from http://www.instac.es
  69. Hobbs, J. R. (2005). Towards an ontology of information structure. In 7th International Symposium on Logical Formalizations of Commonsense Reasoning, Commonsense 2005. Retrieved from
  70. Blache, P. (2003). Vers une théorie cognitive de la langue basée sur les contraintes. Retrieved from https://hal.archives-ouvertes.fr/hal-00244500
  71. Klein, P. D., Boscolo, P., Gelati, C., & Kirkpatrick, L. C. (2014). Writing as a learning activity. Writing as a Learning Activity. https://doi.org/10.1017/9781108235631.012
  72. Linguisticae, J. Ł.-I., & 2012, undefined. (n.d.). Współczesne trendy w lingwistyce komputerowej a problem automatycznego tłumaczenia języka arabskiego. Pressto.Amu.Edu.Pl. Retrieved from https://pressto.amu.edu.pl/index.php/il/article/view/9773
  73. ПАВЛИШЕНКО, О. (n.d.). МІНІСТЕРСТВО ОСВІТИ І НАУКИ УКРАЇНИ ЛЬВІВСЬКИЙ НАЦІОНАЛЬНИЙ УНІВЕРСИТЕТ імені ІВАНА ФРАНКА На правах рукопису. Lnu.Edu.Ua. https://doi.org/10.02.04
  74. Society, 남정희， 이동원， 남영호 - Journal of the Korean Chemical, & 2012, undefined. (n.d.). 고등학생들의 글쓰기에서 나타난 다중 표상의 내재성에 미치는다중 표상 수업의 효과. Kpubs.Org. Retrieved from http://www.kpubs.org/article/articleDownload.kpubs?downType=pdf&articleANo=JCGMDC_2012_v56n4_500 (296)
  75. 손은주. (2016). 플립러닝(Flipped Learning)적용 수업이 예비보육교사의 학습만족도와 학습역량에 미치는 효과. 정기학술대회 논문집, 2016(1), 191. Retrieved from http://www.papersearch.net/thesis/article.asp?key=3319288