Papers with adaptive neural language model

2 papers
Construction Repetition Reduces Information Rate in Dialogue (2022.aacl-main)

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Challenge: We observe that construction usage lowers the information content of utterances.
Approach: They propose to use construction repetition to mitigate information rate in English open-domain spoken dialogues.
Outcome: The proposed method lowers the information content of utterances, while increasing the frequency and density of repetition.
Dual Mechanism Priming Effects in Hindi Word Order (2022.aacl-main)

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Challenge: Existing studies have shown that word order choices can be primed by preceding sentences.
Approach: They propose to model lexical priming and lexically-independent syntactic priming using a logistic regression model.
Outcome: The proposed hypothesis supports multiple cognitive mechanisms . the experimental record shows that lexical priming and lexically-independent priming affect complementary sets of verb classes.

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