pfnet-research / contextual_augmentationLinks
Contextual augmentation, a text data augmentation using a bidirectional language model.
☆192Updated 6 years ago
Alternatives and similar repositories for contextual_augmentation
Users that are interested in contextual_augmentation are comparing it to the libraries listed below
Sorting:
- add BERT to encoder part for https://github.com/memray/seq2seq-keyphrase-pytorch☆80Updated 7 years ago
- ☆121Updated 3 years ago
- Statistics and Accepted paper list with arXiv link of EMNLP-IJCNLP 2019☆231Updated 5 years ago
- Semantics-aware BERT for Language Understanding (AAAI 2020)☆286Updated 3 years ago
- Easy to use NLP library built on PyTorch and TorchText☆258Updated 6 years ago
- BERT as language model, fork from https://github.com/google-research/bert☆249Updated last year
- IEEE/ACM TASLP 2020: SBERT-WK: A Sentence Embedding Method By Dissecting BERT-based Word Models☆182Updated 5 years ago
- The official implementation of ACL 2019 paper "Topic-Aware Neural Keyphrase Generation for Social Media Language"☆153Updated 6 years ago
- Code for paper Hierarchical Transformers for Multi-Document Summarization in ACL2019☆237Updated 6 years ago
- An implementation of "Incorporating copying mechanism in sequence-to-sequence learning"☆152Updated 8 years ago
- Keyphrase Generation☆220Updated 2 years ago
- The PyTorch Implementation of SummaRuNNer☆254Updated 4 years ago
- Joint Slot Filling and Intent Detection via Capsule Neural Networks (ACL'19) https://arxiv.org/abs/1812.09471☆139Updated 2 years ago
- XLNet Extension in TensorFlow☆131Updated 4 years ago
- ☆178Updated 7 years ago
- ☆115Updated 6 years ago
- Code for the ACL 19 paper "Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards"☆106Updated 5 years ago
- Neural abstractive summarization (seq2seq + copy (or pointer network) + coverage) in pytorch on CNN/Daily Mail☆200Updated 3 years ago
- Source code for transferable dialogue state generator (TRADE, Wu et al., 2019). https://arxiv.org/abs/1905.08743☆394Updated 3 years ago
- Code for the ACL 2018 paper "Neural Document Summarization by Jointly Learning to Score and Select Sentences"☆150Updated 7 years ago
- Official codes for the paper: A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss.☆124Updated 6 years ago
- Code to obtain the CNN / Daily Mail dataset (non-anonymized) for summarization (Python3)☆145Updated 3 years ago
- Re-implementation of BiDAF(Bidirectional Attention Flow for Machine Comprehension, Minjoon Seo et al., ICLR 2017) on PyTorch.☆243Updated last year
- Resources for the MRQA 2019 Shared Task☆294Updated 4 years ago
- Hierarchical multi-label text classification of the BlurbGenreCollection using capsule networks.☆87Updated 2 years ago
- This repo provides code and data used in our TANDA paper.☆108Updated last year
- ALBERT model Pretraining and Fine Tuning using TF2.0☆204Updated 2 years ago
- Code associated with the "Data Augmentation using Pre-trained Transformer Models" paper☆135Updated 2 years ago
- Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems☆352Updated 2 years ago
- Unsupervised Extractive Summarization based on Position-Augmented Centrality☆122Updated 4 years ago