Entity · technique

TF-IDF + Logistic Regression

techniqueactivetf-idf-logistic-regression-f646fcc8·1 events·first seen May 26, 2026

Aliases: TF-IDF + Logistic Regression

Co-occurring entities

NeoBERT DementiaBank XLM-R Macro-F1 RoBERTa-Tagalog BERT

More like this (12)

TF-IDF 2-Parameter Logistic IRT Model Logit-Contribution Scoring logistic regression probes FFR: Forward-Forward Learning for Regression Latent Trajectory Discrimination for AI-Generated Text Detection IFLLM Recovering the Zipfian Distribution in Unsupervised Term Discovery Range Penalization: Theoretical Insights with Applications in Federated Learning SIFT LALS (Latent Association Leaning Score)EIT-NLP

Recent events (1)

4arXiv · cs.CL·May 26, 2026·source ↗

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.

Evaluation and Benchmarking TF-IDF + Logistic Regression NeoBERT DementiaBank +4 more