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Methods/CNN BiLSTM

CNN BiLSTM

CNN Bidirectional LSTM

SequentialIntroduced 200022 papers
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Description

A CNN BiLSTM is a hybrid bidirectional LSTM and CNN architecture. In the original formulation applied to named entity recognition, it learns both character-level and word-level features. The CNN component is used to induce the character-level features. For each word the model employs a convolution and a max pooling layer to extract a new feature vector from the per-character feature vectors such as character embeddings and (optionally) character type.

Papers Using This Method

Cross-View Graph Consistency Learning for Invariant Graph Representations2023-11-20An Efficient Self-Supervised Cross-View Training For Sentence Embedding2023-11-06Feature Pyramid biLSTM: Using Smartphone Sensors for Transportation Mode Detection2023-10-17Automated multilabel diagnosis on electrocardiographic images and signals2022-05-24Camera-Conditioned Stable Feature Generation for Isolated Camera Supervised Person Re-IDentification2022-03-29A CNN-BiLSTM Model with Attention Mechanism for Earthquake Prediction2021-12-26CSVC-Net: Code-Switched Voice Command Classification using Deep CNN-LSTM Network2021-08-17Visual Alignment Constraint for Continuous Sign Language Recognition2021-04-06Industry Scale Semi-Supervised Learning for Natural Language Understanding2021-03-29Improving Clinical Document Understanding on COVID-19 Research with Spark NLP2020-12-07DLPAlign: A Deep Learning based Progressive Alignment Method for Multiple Protein Sequences2020-11-21To BERT or Not to BERT: Comparing Task-specific and Task-agnostic Semi-Supervised Approaches for Sequence Tagging2020-10-27A Hybrid Deep Learning Model for Arabic Text Recognition2020-09-04Improving Multimodal Named Entity Recognition via Entity Span Detection with Unified Multimodal Transformer2020-07-01Deceiving computers in Reverse Turing Test through Deep Learning2020-06-01DeepSentiPers: Novel Deep Learning Models Trained Over Proposed Augmented Persian Sentiment Corpus2020-04-11Semi-Supervised Semantic Role Labeling with Cross-View Training2019-11-01SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules2019-10-14Semi-supervised Thai Sentence Segmentation Using Local and Distant Word Representations2019-08-04A Multi-task Approach for Named Entity Recognition in Social Media Data2019-06-10