Description
A Bidirectional LSTM, or biLSTM, is a sequence processing model that consists of two LSTMs: one taking the input in a forward direction, and the other in a backwards direction. BiLSTMs effectively increase the amount of information available to the network, improving the context available to the algorithm (e.g. knowing what words immediately follow and precede a word in a sentence).
Image Source: Modelling Radiological Language with Bidirectional Long Short-Term Memory Networks, Cornegruta et al
Papers Using This Method
CoVE: Compressed Vocabulary Expansion Makes Better LLM-based Recommender Systems2025-06-24Simulation of a closed-loop dc-dc converter using a physics-informed neural network-based model2025-06-23Seq2Bind Webserver for Decoding Binding Hotspots directly from Sequences using Fine-Tuned Protein Language Models2025-06-16Analyzing Emotions in Bangla Social Media Comments Using Machine Learning and LIME2025-06-11Localized Weather Prediction Using Kolmogorov-Arnold Network-Based Models and Deep RNNs2025-05-27PosePilot: An Edge-AI Solution for Posture Correction in Physical Exercises2025-05-25SETransformer: A Hybrid Attention-Based Architecture for Robust Human Activity Recognition2025-05-25Towards a Quantum-classical Augmented Network2025-05-23EEG-Based Inter-Patient Epileptic Seizure Detection Combining Domain Adversarial Training with CNN-BiLSTM Network2025-05-21A Comparative Analysis of Static Word Embeddings for Hungarian2025-05-12Labeling Case Similarity based on Co-Citation of Legal Articles in Judgment Documents with Empirical Dispute-Based Evaluation2025-04-29A Deep Learning Framework for Sequence Mining with Bidirectional LSTM and Multi-Scale Attention2025-04-21Hybrid Deep Learning Model to Estimate Cognitive Effort from fNIRS Signals in Educational Game Playing2025-04-03GNN-Based Candidate Node Predictor for Influence Maximization in Temporal Graphs2025-03-31Incremental capacity-based multi-feature fusion model for predicting state-of-health of lithium-ion batteries2025-03-31As easy as PIE: understanding when pruning causes language models to disagree2025-03-27ShED-HD: A Shannon Entropy Distribution Framework for Lightweight Hallucination Detection on Edge Devices2025-03-23Semantic and Contextual Modeling for Malicious Comment Detection with BERT-BiLSTM2025-03-14Early Detection of Mental Health Issues Using Social Media Posts2025-03-06Intermediate-Task Transfer Learning: Leveraging Sarcasm Detection for Stance Detection2025-03-05