Keyword-Extraction-Bidirectional-LSTM/Wiki-keyword-data at master

Deep learning LSTM + BERT based approach for labelling a corpus with keywords, then training a model to extract keywords. - Keyword-Extraction-Bidirectional-LSTM/Wiki-keyword-data at master · singularity014/Keyword-Extraction-Bidirectional-LSTM

Full article: Exploring zero-shot and joint training cross-lingual strategies for aspect-based sentiment analysis based on contextualized multilingual language models

BiLSTM Explained Papers With Code

FinBERT: Financial Sentiment Analysis with Pre-trained Language Models – arXiv Vanity

What does it mean by Bidirectional LSTM?, by Jaimin Mungalpara, Analytics Vidhya

Sequence Classification with LSTM Recurrent Neural Networks in Python with Keras

Keyword-aware Abstractive Summarization by Extracting Set-level Intermediate Summaries

Applied Sciences, Free Full-Text

Impact of word embedding models on text analytics in deep learning environment: a review

Information, Free Full-Text

LSTM Recurrent Neural Network for Keyphrase Extraction

PDF) A Hybrid Bi-LSTM-CRF model for Knowledge Recognition from eHealth documents

Self‐supervised short text classification with heterogeneous graph neural networks - Cao - 2023 - Expert Systems - Wiley Online Library

Keyword-aware Abstractive Summarization by Extracting Set-level Intermediate Summaries

Recent advances and applications of deep learning methods in materials science

BIDIRECTIONAL LONG SHORT-TERM MEMORY (BILSTM)WITH CONDITIONAL RANDOM FIELDS (CRF) FOR KNOWLEDGE NAMED ENTITY RECOGNITION IN ONLINE JUDGES (OJS)