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TF-IDF + Logistic Regression
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tf-idf-logistic-regression-f646fcc8·1 events·first seen 22d agoAliases: TF-IDF + Logistic Regression
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TF-IDF2-Parameter Logistic IRT Modellogistic regression probesFFR: Forward-Forward Learning for RegressionRecovering the Zipfian Distribution in Unsupervised Term DiscoveryRange Penalization: Theoretical Insights with Applications in Federated LearningLALS (Latent Association Leaning Score)EIT-NLPCLP: Collocation-Length Prediction for Zero-Loss Adaptive Multi-Token InferenceGLM-OCRCIFAR-10Language Model Finetuning
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Forgotten Words: Benchmarking NeoBERT for Dementia Detection in Low-Resource Conversational Filipino and English Speech
This paper presents the first NLP-based dementia detection study for Filipino speech, constructing a parallel bilingual dataset of 4,000 DementiaBank-derived transcripts with manual Filipino translations. Five model families are evaluated across monolingual, zero-shot cross-lingual, and bilingual fine-tuning settings. English-trained BERT degrades sharply on Filipino (Macro-F1 = 0.455), but bilingual fine-tuning recovers performance to Macro-F1 = 0.969–0.973 across all transformer models. The key finding is that multilingual clinical NLP performance is driven by linguistic coverage during training rather than model scale or architecture.