Naïve discrimination learning approach to polysemy
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In this paper, the focus of the investigation is the power of the
computational model which is based on the principles of
discrimination learning to predict processing latencies of
polysemous nouns. Discrimination learning has been shown as
a powerful principle that can account for multiple language
phenomena, such as various frequency effects, various
morphological phenomena and so on. However, the application
of the model in predicting semantic effects is at its very roots.
Here, the model is applied to simulate processing of words with
multiple related senses, by mapping the bigrams from the input
to the output that is represented by an array of words that co-
occur with the target word. The simulated reaction time was
positively correlated with empirically observed processing
latencies. Additionally, the regression model fitted to simulated
reaction time revealed a significant effect of lemma frequency,
word familiarity, number of senses, and redundancy of sense
pro...bability distribution. These effects mirrored the pattern of
the effects observed with empirical reaction time, the only
exception being the reversal of the direction of the number of
senses effect. Taken together, the results add to the body of
research that links polysemy to context variability and
additionally demonstrate how such a link can be related to
learning.
Keywords:
distributional semantics; naive discrimination learning; polysemy.Source:
Proceedings of the XXIV Scientific Conference Empirical Studies in Psychology, 2018, 23-25Publisher:
- Filozofski fakultet u Beogradu, Institut za psihologiju i Laboratorija za eksperimentalnu psihologiju
Funding / projects:
- Ministry of Education, Science and Technological Development of Republic of Serbia (grant number: 179033)
- Ministry of Education, Science and Technological Development of Republic of Serbia (grant number: 179006)
Institution/Community
Psihologija / PsychologyTY - CONF AU - Filipović Đurđević, Dušica PY - 2018 UR - http://reff.f.bg.ac.rs/handle/123456789/4507 AB - In this paper, the focus of the investigation is the power of the computational model which is based on the principles of discrimination learning to predict processing latencies of polysemous nouns. Discrimination learning has been shown as a powerful principle that can account for multiple language phenomena, such as various frequency effects, various morphological phenomena and so on. However, the application of the model in predicting semantic effects is at its very roots. Here, the model is applied to simulate processing of words with multiple related senses, by mapping the bigrams from the input to the output that is represented by an array of words that co- occur with the target word. The simulated reaction time was positively correlated with empirically observed processing latencies. Additionally, the regression model fitted to simulated reaction time revealed a significant effect of lemma frequency, word familiarity, number of senses, and redundancy of sense probability distribution. These effects mirrored the pattern of the effects observed with empirical reaction time, the only exception being the reversal of the direction of the number of senses effect. Taken together, the results add to the body of research that links polysemy to context variability and additionally demonstrate how such a link can be related to learning. PB - Filozofski fakultet u Beogradu, Institut za psihologiju i Laboratorija za eksperimentalnu psihologiju C3 - Proceedings of the XXIV Scientific Conference Empirical Studies in Psychology T1 - Naïve discrimination learning approach to polysemy EP - 25 SP - 23 UR - https://hdl.handle.net/21.15107/rcub_reff_4507 ER -
@conference{ author = "Filipović Đurđević, Dušica", year = "2018", abstract = "In this paper, the focus of the investigation is the power of the computational model which is based on the principles of discrimination learning to predict processing latencies of polysemous nouns. Discrimination learning has been shown as a powerful principle that can account for multiple language phenomena, such as various frequency effects, various morphological phenomena and so on. However, the application of the model in predicting semantic effects is at its very roots. Here, the model is applied to simulate processing of words with multiple related senses, by mapping the bigrams from the input to the output that is represented by an array of words that co- occur with the target word. The simulated reaction time was positively correlated with empirically observed processing latencies. Additionally, the regression model fitted to simulated reaction time revealed a significant effect of lemma frequency, word familiarity, number of senses, and redundancy of sense probability distribution. These effects mirrored the pattern of the effects observed with empirical reaction time, the only exception being the reversal of the direction of the number of senses effect. Taken together, the results add to the body of research that links polysemy to context variability and additionally demonstrate how such a link can be related to learning.", publisher = "Filozofski fakultet u Beogradu, Institut za psihologiju i Laboratorija za eksperimentalnu psihologiju", journal = "Proceedings of the XXIV Scientific Conference Empirical Studies in Psychology", title = "Naïve discrimination learning approach to polysemy", pages = "25-23", url = "https://hdl.handle.net/21.15107/rcub_reff_4507" }
Filipović Đurđević, D.. (2018). Naïve discrimination learning approach to polysemy. in Proceedings of the XXIV Scientific Conference Empirical Studies in Psychology Filozofski fakultet u Beogradu, Institut za psihologiju i Laboratorija za eksperimentalnu psihologiju., 23-25. https://hdl.handle.net/21.15107/rcub_reff_4507
Filipović Đurđević D. Naïve discrimination learning approach to polysemy. in Proceedings of the XXIV Scientific Conference Empirical Studies in Psychology. 2018;:23-25. https://hdl.handle.net/21.15107/rcub_reff_4507 .
Filipović Đurđević, Dušica, "Naïve discrimination learning approach to polysemy" in Proceedings of the XXIV Scientific Conference Empirical Studies in Psychology (2018):23-25, https://hdl.handle.net/21.15107/rcub_reff_4507 .