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Article published In: Semantic Considerations of Lexical Processing
[The Mental Lexicon 9:1] 2014
► pp. 67–106

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How lexical ambiguity distributes activation to semantic neighbors

Some possible consequences within a computational framework

 | Universidad Nacional de Educación a Distancia (UNED), Spain
 | Universidad Autónoma de Madrid, Spain
Published online: 25 April 2014
DOI logo with link
https://doi.org/10.1075/ml.9.1.04jor
The role which the diversity of a word’s contexts plays in lexical access is currently the object of research. Vector-space models such as Latent Semantic Analysis (LSA) are useful to examine this role. Having an objective, discrete model of lexical representation allows us to objectify parameters in order to define contextual focalization in a more measurable way. In the first part of our study, we investigate whether certain empirical data on ambiguity can be modeled by means of an exclusively symbolic single representation model such as LSA and an excitatory-inhibitory mechanism such as the Construction-­Integration framework. Our observations support the idea that some ambiguity effects could be explained by the contextual distribution using such a model. In the second part, we put abstract and concrete words to the test. Our LSA model (exclusively symbolic) and the excitatory-inhibitory mechanism can also explain the penalty paid by abstract words as they activate other words through semantic similarity and the advantage of concrete words in naming and semantic judgments, though it does not account for the advantage of concrete words in lexical decision tasks. The results of this second part are then discussed within the framework of the embodied/symbolic view of the language process.
References (59)
Adelman, J. S., Brown, G. D. A., & Quesada, J. F. (2006). Contextual diversity, not word frequency, determines word naming and lexical decision times. Psychological Science , 171, 814-823. Google Scholar logo with link to Google Scholar
Besner, D., & Joordens, S. (1995). Wrestling with ambiguity—Further reflections: Reply to Masson and Borowsky (1995) and Rueckl (1995). Journal of Experimental Psychology: Learning, Memory, and Cognition , 211, 515-519. Google Scholar logo with link to Google Scholar
Binder, J. R., Westbury, C. F., McKiernan, K. A., Possing, E. T., & Medler, D. A. (2005). Distinct brain systems for processing concrete and abstract concepts. Journal of Cognitive Neuroscience , 171, 905-917. Google Scholar logo with link to Google Scholar
Bleasdale, F. A. (1987). Concreteness-dependent associative priming: Separate lexical organization for concrete and abstract words. Journal of Experimental Psychology: Learning, Memory, & Cognition , 131, 582-594. Google Scholar logo with link to Google Scholar
Bransford, J. D., & McCarrell, N. S. (1974). A sketch of a cognitive approach to comprehension. In W. Weimer & D. Palermo (Eds.), Cognition and the symbolic processes (pp. 189-229). Hillsdale, NJ: Lawrence Erlbaum Associates.Google Scholar logo with link to Google Scholar
Brown, W. P., & Ure, D. M. J. (1969). Five rated characteristics of. 650 word association stimuli. British Journal of Psychology , 601, 233-249. Google Scholar logo with link to Google Scholar
Colangelo, A., Buchanan, L., & Westbury, C. (2004). Deep dyslexia and semantic errors: A test of the failure of inhibition hypothesis using a semantic blocking paradigm. Brain and Cognition , 541, 232-234. Google Scholar logo with link to Google Scholar
Colangelo, A., & Buchanan, L. (2005). Semantic ambiguity and the failure of inhibition hypothesis as an explanation for reading errors in deep dyslexia. Brain & Cognition , 57(1), 39-42. Google Scholar logo with link to Google Scholar
Crutch, S. J., & Warrington, E. K. (2005). Abstract and concrete concepts have structurally different representational frameworks. Brain , 1281, 615-627. Google Scholar logo with link to Google Scholar
Crutch, S. J., Ridha, B. H., & Warrington, E. K. (2006). The different frameworks underlying abstract and concrete knowledge: Evidence from a bilingual patient with a semantic refractory access dysphasia. Neurocase , 121, 151-163. Google Scholar logo with link to Google Scholar
Davis, C. J., & Perea, M. (2005). BuscaPalabras: A program for deriving orthographic and phonological neighborhood statistics and other psycholinguistic indices in Spanish. Behavior Research Methods , 371, 665-671. Google Scholar logo with link to Google Scholar
Deerwester, S., Dumais, S., Furnas, G., Landauer, T., & Harshman, R. (1990). Indexing by latent semantic analysis. Journal of the American Society for Information Science , 411, 391-407. Google Scholar logo with link to Google Scholar
DeGroot, A. M. B. (1989). Representational aspects of Word imageability and Word frequency as assessed through Word association. Journal of Experimental Psychology: Learning, Memory, and Cognition , 151, 824-845. Google Scholar logo with link to Google Scholar
Duffy, S. A., Morris, R. K., & Rayner, K. (1988). Lexical ambiguity and fixation times in reading. Journal of Memory and Language , 271, 429-446. Google Scholar logo with link to Google Scholar
Duñabeitia, J. A., Avilés, A., Afonso, O., Scheepers, C., & Carreiras, M. (2009). Qualitative differences in the representation of abstract versus concrete words: Evidence from the visual-world paradigm. Cognition , 1101, 284-292. Google Scholar logo with link to Google Scholar
Estévez, A. (1991). Estudio normativo sobre ambigüedad en castellano. Cognitiva , 31, 237-271.Google Scholar logo with link to Google Scholar
Hino, Y., & Lupker, S. J. (1996). Effects of polysemy in lexical decision and naming: An alternative to lexical access accounts. Journal of Experimental Psychology: Human Perception and Performance , 221, 1331-1356. Google Scholar logo with link to Google Scholar
Hino, Y., Lupker, S. J., & Pexman, P. M. (2002). Ambiguity and synonymy effects in lexical decision, naming, and semantic categorization tasks: Interactions between orthography, phonology, and semantics. Journal of Experimental Psychology: Learning, Memory, & Cognition , 281, 686-713. Google Scholar logo with link to Google Scholar
Howell, J. R., & Bryden, M. P. (1987). The effects of word orientation and imageability on visual half-field presentations with a lexical decision task. Neuropsychologia , 251, 527-538. Google Scholar logo with link to Google Scholar
Huettig, F., Quinlan, P., McDonald, S., & Altmann, G. T. (2006). Models of high-dimensional semantic space predict language-mediated eye movements in the visual world. Acta Psychologica , 1211, 65-80. Google Scholar logo with link to Google Scholar
Joordens, S., & Besner, D. (1994). When banking on meaning is not (yet) money in the bank: Explorations in connectionist modeling. Journal of Experimental Psychology: Learning, Memory, and Cognition , 201, 1051-1062. Google Scholar logo with link to Google Scholar
Jorge-Botana, G., León, J. A., Olmos, R., & Hassan-Montero, Y. (2010). Visualizing polysemy using LSA and the predication algorithm. Journal of the American Society for Information Science and Technology , 61(8), 1706-1724.Google Scholar logo with link to Google Scholar
Jorge-Botana, G., Olmos, R., & Barroso, A. (2012) The construction-integration framework: A means to disminish bias in LSA-based call routing. International Journal of Speech Technology , 15(2), 151-164. Google Scholar logo with link to Google Scholar
2012). Gallito (Version 2.0.1) [NLP Software]. Retrieved from: [URL]
Jorge-Botana, G., Olmos, R., & Barroso, A. Gallito 2.0: A natural language processing tool to support research on discourse. In Proceedings of the twenty-third Annual Meeting of the Society for Text and Discourse, Valencia from 16 to 18 July 2013.
Kilgarriff, A. (1997). I don't believe in word senses. Computers and the Humanities , 31(2), 91-113. Google Scholar logo with link to Google Scholar
Kintsch, W. (1998). The representation of knowledge in minds as machines. International Journal of Psychology , 33(6), 411-420. Google Scholar logo with link to Google Scholar
Kintsch, W., Patel, V. L., & Ericsson, K. A.. (1999). The role of long term working memory in text comprehension. Psychologia , 421, 186-198.Google Scholar logo with link to Google Scholar
Kintsch, W. (2000). Metaphor comprehension: A computational theory. Psyhonomic Bulletin and Review , 71, 257-266. Google Scholar logo with link to Google Scholar
2001). Predication. Cognitive Science , 251, 173-202. Google Scholar logo with link to Google Scholar
Kintsch, W., & Bowles, A. (2002). Metaphor comprehension: What makes a metaphor difficult to understand?. Metaphor and Symbol , 171, 249-262. Google Scholar logo with link to Google Scholar
Kintsch, W. (2008). Symbol systems and perceptual representations. In M. de Vega, A. M. Glenberg & A. C. Graesser (Eds.), Symbols and embodiment: Debates on meaning and cognition (pp. 145-164). Oxford: Oxford University Press. Google Scholar logo with link to Google Scholar
Kintsch, W., & Mangalath, P. (2011). The construction of meaning. Topics in Cognitive Science , 31, 346-370. Google Scholar logo with link to Google Scholar
Klein, D. E., & Murphy, G. L. (2001). The representation of polysemous words. Journal of Memory and Language , 451, 259-282. Google Scholar logo with link to Google Scholar
Landauer, T. K., & Dumais, S. T. (1997). A solution to Plato's problem: The latent semantic analysis theory of the acquisition, induction, and representation of knowledge. Psychological Review , 1041, 211-240. Google Scholar logo with link to Google Scholar
Louwerse, M. M., & Jeuniaux, P. (2010). The linguistic and embodied nature of conceptual processing. Cognition , 1141, 96-104. Google Scholar logo with link to Google Scholar
Louwerse, M. M. (2011). Symbol interdependency in symbolic and embodied cognition. Topics in Cognitive Science , 31, 273-302. Google Scholar logo with link to Google Scholar
Louwerse, M. M., & Zwaan, R. A. (2009). Language encodes geographical information. Cognitive Science , 331, 51-73. Google Scholar logo with link to Google Scholar
Louwerse, M., & Hutchinson, S. (2012). Neurological evidence linguistic processes precedeperceptual simulation in conceptual processing. Frontiers in Psychology , 31, 1-11. Google Scholar logo with link to Google Scholar
McDonald, S., & Shillcock, R. (2001). Rethinking the word frequency effect: The neglected role of distributional information in lexical processing. Language and Speech , 441, 295-323. Google Scholar logo with link to Google Scholar
Mirman, D., & Magnuson, J. S. (2008). Attractor dynamics and semantic neighborhood density: Processing is slowed by near neighbors and speeded by distant neighbors. Journal of Experimental Psychology: Learning, Memory, and Cognition , 34(1), 65-79. Google Scholar logo with link to Google Scholar
Millis, K., & Larson, M. (2008). Applying the construction-integration framework to aesthetic responses to representational artworks. Discourse Process , 451, 263-287. Google Scholar logo with link to Google Scholar
Nakov, P., Popova, A., & Mateev, P. (2001). Weight functions impact on LSA performance. In Euro Conference RANLP’2001 (Recent Advances in NLP) , Tzigov Chark, Bulgaria (pp. 187-193).
Paivio, A. (1986). Mental representations . New York: Oxford University Press.Google Scholar logo with link to Google Scholar
1991). Images in mind: The evolution of a theory . New York: Harvester-Wheasheaf.Google Scholar logo with link to Google Scholar
Pexman, P. M., & Lupker, S. J. (1999). The impact of semantic ambiguity on visual word recognition: Do homophone and polysemy effects co-occur? Canadian Journal of Experimental Psychology , 531, 323-334. Google Scholar logo with link to Google Scholar
Pexman, P. M., Hino, Y., & Lupker, S. J. (2004). Semantic ambiguity and the process of generating meaning from print. Journal of Experimental Psychology: Learning, Memory, and Cognition , 301, 1252-1270. Google Scholar logo with link to Google Scholar
Pexman, P. M., Hargreaves, I. S., Edwards, J. D., Henry, L. C., & Goodyear, B. G. (2007). Neural correlates of concreteness in semantic categorization. Journal of Cognitive Neuroscience , 191, 1407-1419. Google Scholar logo with link to Google Scholar
Piercey, C. D., & Joordens, S. (2000). Turning an advantage into a disadvantage: Ambiguity effects in lexical decision versus reading tasks. Memory & Cognition , 281, 657-666. Google Scholar logo with link to Google Scholar
Riordan, B., & Jones, M. N. (2011). Redundancy in perceptual and linguistic experience: Comparing feature-based and distributional models of semantic representation. Topics in Cognitive Science , 31, 303-345. Google Scholar logo with link to Google Scholar
Rodd, J., Gaskell, G., & Marslen-Wilson, W. (2002). Making sense of semantic ambiguity: Semantic competition in lexical access. Journal of Memory and Language , 461, 245-266. Google Scholar logo with link to Google Scholar
Samson, D., & Pillon, A. (2003). Concreteness effects in lexical tasks: Access to a mental image? Brain and Language , 871, 25-26. Google Scholar logo with link to Google Scholar
Schwanenflugel, P. J., Harnishfeger, K. K., & Stowe, R. W. (1998). Context availability and lexical decisions for abstract and concrete words. Journal of Memory and Language , 271, 499-520. Google Scholar logo with link to Google Scholar
Schwanenflugel, P. J., & Shoben, E. J. (1983). Differential context effects in the comprehension of abstract and concrete verbal materials. Journal of Experimental Psychololgy, Learning and Memory and Cognition , 91, 82-102. Google Scholar logo with link to Google Scholar
Schwanenflugel, P. J., & Stowe, R. W. (1989). Context availability and the processing of abstract and concrete words. Reading Research Quartely , 241, 114-126. Google Scholar logo with link to Google Scholar
Schwanenflugel, P. J., & Akin, C. E. (1994). Developmental trends in lexical decisions for abstract and concrete words. Reading Research Quarterly , 291, 251-263. Google Scholar logo with link to Google Scholar
Sebastián, N., Martí, M. A., Carreiras, M. F., & Cuetos, F. (2000). LEXESP, léxico informatizado del Español . Barcelona: Ediciones de la Universitat de Barcelona.Google Scholar logo with link to Google Scholar
Shepard, R. N. (1987). Toward a universal law of generalization for psychological science. Science , 2371, 1317-1323. Google Scholar logo with link to Google Scholar
Wandmacher, T. 2005. How semantic is latent semantic analysis? In Proceedings of RECITAL'05 , Dourdan, France.
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