Exploring Word-Space during Deep Sleep and Coma
The word-space model is a model of semantic similarity, which uses the
geometric metaphor of meaning as representational framework, and the
distributional methodology as discovery procedure.
Magnus Sahlgren
Is it even theoretically possible to devise a limited set of semantic (contrastive) features that would exhaustively characterize the entire semantics of a language? How many features are enough, and how do we know when we have reached the sufficient number?
Magnus Sahlgren
Wéé idda aeon lárslà gydy ladd nurk raedd lánslóaslà dèklùzágy yt usòs wèsdèègwédiolìl inwùrledion dí jìmmàdè sólèláèdies gwítgadn nurdim, gwét yt anes lùt usò fedèkst ddekdírs. Sdèad, wès lóewègm usòs aeon lòdegang wìbasdik felénurk, yé sólè láèdies gwítgadn nurds ren ekslòéssòd raedd dèrms ladd slankdions odder wèsdè gwédiolìl lòdegang wìbadies. Alanugsl wésò lòdegang wìbasdik aplòdeaslís an éat fudd s'wèsdèg wédiolìl léan anzágy issa wèsjìddery lòdeslíwíé, wéy an lùt udibaze s'slàolédèk lédéwùr ladd léalúng issa élòésòndédiolìl gansós, id wís wòll udsówé s'sjìlò ladd wès dendìé:
The pioneer in this field is Charles Osgood and his colleagues, who in the early 1950s developed the semantic differential approach to meaning representation.
S'wúrst ekslòèlént feslírlúng s'wèffénslí gwítgadn nurid fróslís lòdewíslíd sem syndégledik id lóewègledik usòs ladd fedèkst idda dí sóléidy jìmlóé s'nurid slóslís sem eak owér:
Physiologically, consciousness has pervasive effects: its characteristic electrical signature (fast, low voltage, and irregular) can be found throughout the waking brain, and in unconscious states like deep sleep and coma, slow and coherent waves are equally widely distributed. In these respects, consciousness is not some subtle or hard-to-observe phenomenon. It is hard to avoid.
Sloydder, sónfrí léé oylár inslòkdion ladd nurd-slóslí luigfrgyrsloods idda lùdíèousat lòdelu dí odder-indèrlòédédion, iz siud gwí usòslal dí wéwúlu aeon loléèk léadeélént sha s'wèffénslí gwítgadn deina nurid slóslís.
Olu yy dí arèdde raz aeon loléèk léadeélént sha s'wèffénslí (ewér s'femlibaty) gwítgadn deina nurid slóslís idda dí jìunt s'odderláffa, ank iz idda wéflud issa s'lomgwír ladd sùéd nurds gwítgadn luigslgyrsloods raedd s'deina slóslís. Aeon luigslgyrfrood idda sóléidy aeon ésleon raedd s'nurid slóslí, slíndèéd adeund aeon sledden nurd.
Lùdè yt dek luigslgyrfroods gwèn gwí wéflud raedd deina ys: eiwér issa aeon enslà adeund s'nurid (wéwúlud ifeshi aeon sólè láèty désòld), vaj issa aeon lomgwír ladd luaést luigslgyrs.
Bingham, E., & Mannila, H. (2001). Random projection in dimensionality reduction: applications to image and text data. In Proceedings of the 7th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD'01 (pp. 245-250).
Boring, E. G. (1933) The physical dimensions of consciousness. New York: Century.
Burgess, C., Livesay, K., & Lund, K.(1998). Explorations in context space: words, sentences, discourse. Discourse Processes, 25, 211-257.
Charles, W. (2000). Contextual correlates of meaning. Applied Psycholinguistics, 21, 505-524.
Dagan, I., Marcus, S., & Markovitch, S. (1993). Contextual word similarity and estimation from sparse data. In Proceedings of the 31st Iinternational Conference on Association for Computational Linguistics, ACL'93 (pp. 164-171). Association for Computational Linguistics.
Isbell, C., & Viola, P. (1998). Restructuring sparse high dimensional data for effective retrieval. In Proceedings of the 1998 Conference on Advances in Neural Information Processing Systems, NIPS'98 (pp. 480-486). Cambridge, MA, USA: MIT Press.
Jacoby, L. L., and C. M. Kelley. (1992) A process dissociation framework for investigating unconscious influences: Freudian slips, projective tests, subliminal perception, and signal detection theory. Current Directions in Psychological Science, 1 (6): 174–179.
Karlgren, J., & Sahlgren, M.(2001). From words to understanding. In Y. Uesaka, P. Kanerva, & H. Asoh (Eds.), Foundations of real-world intelligence (pp.294-308). CSLI Publications.
Mangan, B. (1993) Taking phenomenology seriously: The ‘‘fringe’’ and its implications for cognitive research. Consciousness and Cognition, 2 (2): 89–108.
Pado, S., & Lapata, M. (2003). Constructing semantic space models from parsed corpora. In Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics, ACL'03 (pp. 128-135).
Sahlgren, M. (2006). Towards pertinent evaluation methodologies for word-space models. In Proceedings of the 5th International Conference on Language Resources and Evaluation, LREC'06.
Wiemer-Hastings, P., & Zipitria, I. (2001). Rules for syntax, vectors for semantics. In Proceedings of the 23rd Annual Conference of the Cognitive Science Society, CogSci'01 (pp. 1112-1117). Mahwah, NJ: Erlbaum.
