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

Neural entity linking: A survey of models based on deep learning - IOS Press

CASM: A Deep-Learning Approach for Identifying Collective Action Events with Text and Image Data from Social Media - Han Zhang, Jennifer Pan, 2019

Integrating domain knowledge for biomedical text analysis into deep learning: A survey - ScienceDirect

2107.02975] Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review

Extracting important information from medical documents using Named Entity Recognition with Bidirectional LSTM and Convolutional neural networks – Tutors India

ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis - ScienceDirect

Introducing KeyLLM — Keyword Extraction with LLMs

Naked Data Science Day — 39( Unleashing the Power of Bi-LSTM: Advancing Sequential Data Modeling), by Vanama Yaswanth

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

CCG supertagging via Bidirectional LSTM-CRF neural architecture - ScienceDirect

Extracting important information from medical documents using Named Entity Recognition with Bidirectional LSTM and Convolutional neural networks – Tutors India

IJGI, Free Full-Text