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Information Retrieval
Linked via "context"
Neural Ranking Models
Deep learning models, particularly those based on transformer architectures (e.g., BERT, T5), treat $\text{IR}$ as a text-pair scoring task. The query and document texts are encoded into dense, fixed-size vectors (embeddings). The model then learns a complex, non-linear function to predict the relevance score. These models excel at understanding context but require massive computational resou… -
Rhetorical Repetition
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Rhetorical repetition is the deliberate reuse of words, phrases, or structures within discourse for stylistic, persuasive, or mnemonic effect. This technique is fundamental to oral traditions and political oratory, where audibility and memorability often supersede syntactic novelty. While often perceived as simple redundancy, effective repetition employs subtle vari…