anhassan / Quora-Question-Similarity-Using-BERT-Embeddings-with-Siamese-Networks-as-Feature-ExtractorsLinks
Proposed a model architecture which learns to classify duplicate question pairs based on highly contextualized sentence representations. Achieved by using both individual and combined sentence embeddings based on Word2Vec, GloVe and FastText word embeddings with CNN(convolutional neural networks) and DNN(Dense neural network) Siamese networks an…
☆15Updated 3 years ago
Alternatives and similar repositories for Quora-Question-Similarity-Using-BERT-Embeddings-with-Siamese-Networks-as-Feature-Extractors
Users that are interested in Quora-Question-Similarity-Using-BERT-Embeddings-with-Siamese-Networks-as-Feature-Extractors are comparing it to the libraries listed below
Sorting:
- Concatenate word and character embeddings in Keras☆45Updated 3 years ago
- ☆39Updated 6 years ago
- This is a drop-in Keras layer for ELMo embeddings.☆47Updated 6 years ago
- This model base on bert-as-service. Model structure : bert-embedding bilstm crf.☆37Updated 7 years ago
- A bidirectional LSTM with attention for multiclass/multilabel text classification.☆173Updated last year
- Aspect extraction from product reviews - window-CNN+maxpool+CRF, BiLSTM+CRF, MLP+CRF☆158Updated 4 years ago
- The implementation of the paper "A Multi-task Approach for Named Entity Recognition on Social Media Data," which won the WNUT-2017 Shared…☆67Updated 8 years ago
- Using BERT For Classifying Documents with Long Texts, check my latest post: https://armandolivares.tech/☆41Updated 6 years ago
- Keras Implementation of Aspect based Sentiment Analysis☆152Updated 5 years ago
- CNN-based model to realize aspect extraction of restaurant reviews based on pre-trained word embeddings and part-of-speech tagging☆103Updated 6 years ago
- This repository contains the implementation of paper "Hierarchical Attentional Hybrid Neural Networks for Document Classification"☆59Updated 4 years ago
- Deep learning LSTM + BERT based approach for labelling a corpus with keywords, then training a model to extract keywords.☆26Updated 2 years ago
- A short tutorial on Elmo training (Pre trained, Training on new data, Incremental training)☆154Updated 5 years ago
- A Pointer Generator with a BERT encoder☆10Updated 6 years ago
- [ACM-WSDM] 3rd place solution at WSDM Cup 2019, Fake News Classification on Kaggle.☆63Updated 6 years ago
- Siamese LSTM for evaluating semantic similarity between sentences of the Quora Question Pairs Dataset.☆256Updated 7 years ago
- celarex / STS-CNN-STSbenchmark-Semantic-Similarity-Semantic-Textual-Similarity-CNN-HCTI-Tensorflow-KerasA simple implementation of paper "HCTI at SemEval-2017 Task 1: Use convolutional neural network to evaluate semantic textual similarity."☆31Updated 3 years ago
- BiLSTM+CRF☆10Updated 6 years ago
- Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2☆64Updated 3 years ago
- Position embedding layers in Keras☆58Updated 3 years ago
- Aspect-Based Sentiment Analysis☆36Updated 2 years ago
- Keyphrase Extraction based on Scientific Text, Semeval 2017, Task 10☆109Updated 3 years ago
- Keras Bi-LSTM-CRF for sequence tagging☆34Updated 7 years ago
- Python code to run ACE-style event extraction on English, Chinese, or Spanish texts☆35Updated 8 years ago
- reference tensorflow code for named entity tagging☆105Updated 4 years ago
- Re-implementation of ELMo on Keras☆135Updated 2 years ago
- TensorFlow implementation of the paper "Hierarchical Attention Networks for Document Classification"☆87Updated 6 years ago
- Graph Convolutional neural network named entity recognition☆136Updated 8 years ago
- This repo contains a PyTorch implementation of a pretrained BERT model for sentence similarity task.☆48Updated 6 years ago
- Using pre trained word embeddings (Fasttext, Word2Vec)☆158Updated 7 years ago