sebastianGehrmann / bottom-up-summary
☆178Updated 5 years ago
Related projects: ⓘ
- Code for the ACL 2018 paper "Neural Document Summarization by Jointly Learning to Score and Select Sentences"☆151Updated 5 years ago
- Pytorch implementation for paper of "A DEEP REINFORCED MODEL FOR ABSTRACTIVE SUMMARIZATION". https://arxiv.org/abs/1705.04304☆159Updated 6 years ago
- Transformer for abstractive summarization on cnn/daily-mail and gigawords☆140Updated last year
- An implementation of "Incorporating copying mechanism in sequence-to-sequence learning"☆153Updated 7 years ago
- Code for AAAI2018 paper "Table-to-text Generation by Structure-aware Seq2seq Learning"☆150Updated last year
- Neural Abstractive Text Summarization with Sequence-to-Sequence Models☆154Updated 5 years ago
- An extractive neural network text summarization library for the EMNLP 2018 paper "Content Selection in Deep Learning Models of Summarizat…☆108Updated 4 years ago
- Code to obtain the CNN / Daily Mail dataset (non-anonymized) for summarization (Python3)☆143Updated 2 years ago
- Neural abstractive summarization (seq2seq + copy (or pointer network) + coverage) in pytorch on CNN/Daily Mail☆199Updated 2 years ago
- Ranking Sentences for Extractive Summarization with Reinforcement Learning☆272Updated 4 years ago
- Efficient and clean PyTorch reimplementation of "End-to-end Neural Coreference Resolution" (Lee et al., EMNLP 2017).☆185Updated 3 years ago
- Code for paper Hierarchical Transformers for Multi-Document Summarization in ACL2019☆229Updated 5 years ago
- Resources for the MRQA 2019 Shared Task☆290Updated 3 years ago
- Code for the paper "Neural Question Generation from Text: A Preliminary Study"☆144Updated 5 years ago
- Statistics and Accepted paper list with arXiv link of EMNLP-IJCNLP 2019☆233Updated 3 years ago
- Official codes for the paper: A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss.☆125Updated 5 years ago
- Calculating ROUGE score between two files (line-by-line)☆190Updated 3 years ago
- ☆112Updated 4 years ago
- Stochastic Answer Networks (SAN) for Machine Reading Comprehension☆149Updated 5 years ago
- ☆121Updated last year
- Code to obtain the CNN / Daily Mail dataset (non-anonymized) for summarization☆46Updated 4 years ago
- Code for AAAI 2019 paper on Data-to-Text Generation with Content Selection and Planning☆162Updated 2 years ago
- A Python wrapper for the ROUGE summarization evaluation package☆250Updated 3 years ago
- Code for the paper "Efficient Adaption of Pretrained Transformers for Abstractive Summarization"☆71Updated 5 years ago
- Cross-Lingual Alignment of Contextual Word Embeddings☆97Updated 4 years ago
- ☆138Updated 3 years ago
- Code from the paper "Step-by-Step: Separating Planning from Realization in Neural Data-to-Text Generation - NAACL-2019.☆127Updated last year
- Code for "MojiTalk: Generating Emotional Responses at Scale" https://arxiv.org/abs/1711.04090☆122Updated 6 years ago
- Unsupervised Extractive Summarization based on Position-Augmented Centrality☆124Updated 3 years ago
- ☆119Updated 4 years ago