This repository contains a Bi-xLSTM[7:1] model pretrained on large-scale Indonesian Wikipedia data and fine-tuned for Indonesian End-to-End Aspect-Based Sentiment Analysis (E2E-ABSA).
Model Description
The model uses a bidirectional xLSTM-based architecture for contextual language modeling. It was first pretrained on Indonesian Wikipedia data using a forward and backward language modeling objective, then fine-tuned for E2E-ABSA using BIOES sentiment tagging and CRF decoding.
The final task is to extract aspect–sentiment pairs directly from Indonesian review text.
Architecture
Model: Bi-xLSTM[7:1]
Pretraining objective: Bidirectional contextual language modeling
