yongjincho / cnn-text-classification-pytorch
CNN for Text Classification in Pytorch
☆19Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for cnn-text-classification-pytorch
- This repo is code for the COLING 2018 paper: Sequence-to-sequence Data Augmentation for Dialogue Language Understanding.☆76Updated 3 years ago
- Implementation of <Improving Neural Question Generation Using Answer Separation> by Yanghoon Kim et al., AAAI 2019☆53Updated 4 years ago
- A generalized input-label embedding for text classification☆23Updated 4 years ago
- ☆119Updated 5 years ago
- A python library to compute rouge score for summarization☆58Updated 2 years ago
- This is the PyTorch implementation of the ACL 2019 paper RankQA: Neural Question Answering with Answer Re-Ranking.☆84Updated 2 years ago
- BERT-DST: Scalable End-to-End Dialogue State Tracking with Bidirectional Encoder Representations from Transformer☆101Updated 3 years ago
- Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Comprehension☆105Updated 5 years ago
- Multitask Learning for Machine Reading Comprehension, NAACL 2019☆100Updated 4 years ago
- Tensorflow Implementation of Variational Attention for Sequence to Sequence Models (COLING 2018)☆69Updated 4 years ago
- CNN for sentence classification using Pytorch and MXNET☆31Updated 6 years ago
- Repository for Unsupervised Sentence Compression using Denoising Auto-Encoders☆46Updated 4 months ago
- ☆122Updated last year
- Code for the ACL 2018 paper "Neural Document Summarization by Jointly Learning to Score and Select Sentences"☆151Updated 6 years ago
- Code for the paper: GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling☆68Updated 5 years ago
- An implementation of attention-based neural machine translation using Pytorch☆49Updated 5 years ago
- Code and data for paper "Dialog Intent Induction with Deep Multi-View Clustering", Hugh Perkins and Yi Yang, 2019, EMNLP 2019☆67Updated last year
- ☆29Updated 6 years ago
- A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.☆35Updated 5 years ago
- Code for the paper "Efficient Adaption of Pretrained Transformers for Abstractive Summarization"☆71Updated 5 years ago
- add BERT to encoder part for https://github.com/memray/seq2seq-keyphrase-pytorch☆80Updated 5 years ago
- Code for ACL 2019 paper on Data-to-text Generation with Entity Modeling☆74Updated 3 years ago
- Code for ACL 2019 paper: "Searching for Effective Neural Extractive Summarization: What Works and What's Next"☆91Updated 3 years ago
- Code associated with the "Data Augmentation using Pre-trained Transformer Models" paper☆133Updated last year
- DSTC6 Dialog System Technology Challenges, Track1, End-to-End Goal Oriented Dialog Learning☆18Updated 6 years ago
- Unsupervised sentence summarization by contextual matching☆47Updated 2 years ago
- Sentiment polarity annotations dataset☆26Updated 6 years ago
- Code for reproducing the results from the paper Few Shot Text Classification with a Human in the Loop☆90Updated 6 years ago
- ☆39Updated 6 years ago
- Implementation of Densely Connected Attention Propagation for Reading Comprehension (NIPS 2018)☆70Updated 5 years ago