Reid and Jamieson (2023) showed that the minerva 2 model, combined with ASL representations, can account for the standard patterns of the DRM paradigm. However, it is unclear whether other distributional representations can be used for false recall. The figure below contains the average cosine similarity values for three different types of comparisons obtained from the BEAGLE semantic model that we previously examined in the last exercise: 1) randomly chosen words, 2) list words (e.g., hospital-nurse, hospital-medicine, nurse-medicine, etc... for the list of the critical word doctor), and 3) similarity of the critical word to its associates (e.g., doctor-hospital, doctor-medicine, doctor-nurse, etc...). please 1.summarize the data  2.Given the results of the above simulation, provide a justification for using distributional models as an underlying representation for a model accounting for false memory effects.

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Reid and Jamieson (2023) showed that the minerva 2 model, combined with ASL representations, can account for the standard patterns of the DRM paradigm. However, it is unclear whether other distributional representations can be used for false recall. The figure below contains the average cosine similarity values for three different types of comparisons obtained from the BEAGLE semantic model that we previously examined in the last exercise: 1) randomly chosen words, 2) list words (e.g., hospital-nurse, hospital-medicine, nurse-medicine, etc... for the list of the critical word doctor), and 3) similarity of the critical word to its associates (e.g., doctor-hospital, doctor-medicine, doctor-nurse, etc...).

please 1.summarize the data 

2.Given the results of the above simulation, provide a justification for using distributional models as an underlying representation for a model accounting for false memory effects.

 

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Word Type
Critical Word
Transcribed Image Text:Similarity 0.20 0.18 0.16- 0.14 0.12- 0.10 0.08 0.06 0.04 0.02 0.00 Random Within List Word Type Critical Word
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