mrqa / MRQA-Shared-Task-2019
Resources for the MRQA 2019 Shared Task
☆292Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for MRQA-Shared-Task-2019
- ☆139Updated 3 years ago
- ☆178Updated 5 years ago
- Pytorch implementation of Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks☆140Updated 4 years ago
- Statistics and Accepted paper list with arXiv link of EMNLP-IJCNLP 2019☆233Updated 4 years ago
- Code for the paper "Neural Question Generation from Text: A Preliminary Study"☆144Updated 5 years ago
- Source code for transferable dialogue state generator (TRADE, Wu et al., 2019). https://arxiv.org/abs/1905.08743☆391Updated last year
- An original implementation of ACL 2019, "Multi-hop Reading Comprehension through Question Decomposition and Rescoring"☆139Updated 2 years ago
- Grounded conversational dataset for end-to-end conversational AI (official DSTC7 data)☆174Updated 3 months ago
- AAAI-20 paper: Cross-Lingual Natural Language Generation via Pre-Training☆128Updated 3 years ago
- Question Generation Papers Collection.☆205Updated 2 years ago
- Linguistically-Informed Self-Attention implemented in TensorFlow☆202Updated 5 years ago
- Survey on Machine Reading Comprehension☆149Updated 3 years ago
- An implementation of "Incorporating copying mechanism in sequence-to-sequence learning"☆153Updated 7 years ago
- Code for paper Hierarchical Transformers for Multi-Document Summarization in ACL2019☆231Updated 5 years ago
- Efficient and clean PyTorch reimplementation of "End-to-end Neural Coreference Resolution" (Lee et al., EMNLP 2017).☆185Updated 3 years ago
- Implementation of conversational QA model: FlowQA (with slight improvement)☆197Updated 5 years ago
- Stochastic Answer Networks (SAN) for Machine Reading Comprehension☆149Updated 5 years ago
- Unsupervised Extractive Summarization based on Position-Augmented Centrality☆124Updated 3 years ago
- This repo provides code and data used in our TANDA paper.☆108Updated 2 months ago
- Code for ACL 2019 paper: "Searching for Effective Neural Extractive Summarization: What Works and What's Next"☆91Updated 3 years ago
- ☆120Updated last year
- Code from the paper "Step-by-Step: Separating Planning from Realization in Neural Data-to-Text Generation - NAACL-2019.☆127Updated last year
- Transformer for abstractive summarization on cnn/daily-mail and gigawords☆140Updated last year
- Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Comprehension☆105Updated 5 years ago
- Full Python implementation of the ROUGE metric, producing same results as in the official perl implementation.☆157Updated 5 years ago
- An original implementation of EMNLP 2019, "A Discrete Hard EM Approach for Weakly Supervised Question Answering"☆137Updated 4 years ago
- Authors' implementation of EMNLP-IJCNLP 2019 paper "Answering Complex Open-domain Questions Through Iterative Query Generation"☆195Updated 5 years ago
- Code for training a Neural Open IE model (NAACL2018)☆122Updated last year
- XLNet Extension in TensorFlow☆130Updated 3 years ago