singularity014 / Keyword-Extraction-Bidirectional-LSTMLinks
Deep learning LSTM + BERT based approach for labelling a corpus with keywords, then training a model to extract keywords.
☆26Updated 2 years ago
Alternatives and similar repositories for Keyword-Extraction-Bidirectional-LSTM
Users that are interested in Keyword-Extraction-Bidirectional-LSTM are comparing it to the libraries listed below
Sorting:
- Using BERT For Classifying Documents with Long Texts, check my latest post: https://armandolivares.tech/☆41Updated 5 years ago
- Keyphrase Extraction based on Scientific Text, Semeval 2017, Task 10☆109Updated 2 years ago
- A Pointer Generator with a BERT encoder☆10Updated 6 years ago
- BERT which stands for Bidirectional Encoder Representations from Transformations is the SOTA in Transfer Learning in NLP.☆56Updated 5 years ago
- Use BERT for Question Answering and finetune train with SQuAD 2.0☆15Updated 5 years ago
- Named Entity Recognition with Pretrained XLM-RoBERTa☆90Updated 4 years ago
- Siamese-LSTM PyTorch Implementation for cikm 2018☆63Updated 7 years ago
- X-BERT: eXtreme Multi-label Text Classification with BERT☆52Updated 6 years ago
- ☆57Updated 4 years ago
- Implementation of paper "Learning to Encode Text as Human-Readable Summaries using GAN"☆66Updated 5 years ago
- BERT CRF model for Name Entity Recognition in pytorch☆29Updated 2 years ago
- Keras Bi-LSTM-CRF for sequence tagging☆34Updated 7 years ago
- seq2seq based keyphrase generation model sets, including copyrnn copycnn and copytransfomer☆51Updated 3 years ago
- reference pytorch code for named entity tagging☆86Updated 10 months ago
- Multi-cell compositional LSTM for NER domain adaptation, code for ACL 2020 paper☆29Updated 4 years ago
- Self-supervised NER prototype - updated version (69 entity types - 17 broad entity groups). Uses pretrained BERT models with no fine tuni…☆78Updated 3 years ago
- Code for the paper "Efficient Adaption of Pretrained Transformers for Abstractive Summarization"☆71Updated 6 years ago
- Joint Extraction & Compression text Summarization☆40Updated 5 years ago
- Machine Reading Comprehension (MRC)☆20Updated 5 years ago
- anhassan / Quora-Question-Similarity-Using-BERT-Embeddings-with-Siamese-Networks-as-Feature-ExtractorsProposed a model architecture which learns to classify duplicate question pairs based on highly contextualized sentence representations. …☆15Updated 2 years ago
- This repository contains the corpora and supplementary data, along with instructions for recreating the experiments, for our paper: "End-…☆91Updated 5 years ago
- PyTorch port of BERT ML model☆17Updated 6 years ago
- Repo for EMNLP 2020 paper, "Improving Neural Topic Models using Knowledge Distillation"☆31Updated 4 years ago
- PyTorch - Albert Large V2, Bert Base Uncased, Bert Large Uncased WWM Finetuned Squad, Distil Roberta Base, Roberta Base Squad2, Roberta l…☆11Updated 5 years ago
- Named Entity Recognition on CoNLL dataset using BiLSTM+CRF implemented with Pytorch☆41Updated 6 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…☆68Updated 7 years ago
- Library of state-of-the-art models (PyTorch) for NLP tasks☆110Updated last year
- Code for the AAAI 2020 paper "Keyphrase Generation for Scientific Articles using GANs"☆60Updated 2 years ago
- TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition (ACL 2020)☆172Updated 3 years ago
- BERT for joint intent classification and slot filling☆39Updated 5 years ago