Rankqa
This is the PyTorch implementation of the ACL 2019 paper RankQA: Neural Question Answering with Answer Re-Ranking.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Awesome Relation Extraction | 831 | 2 years ago | 2 | |||||||
| 📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP). | ||||||||||
| Question Generation Paper List | 429 | 2 years ago | ||||||||
| A summary of must-read papers for Neural Question Generation (NQG) | ||||||||||
| Acl2018 Semantic Parsing Tutorial | 371 | 6 years ago | 1 | |||||||
| Materials from the ACL 2018 tutorial on neural semantic parsing | ||||||||||
| Nn4nlp Concepts | 297 | 4 years ago | 4 | bsd-3-clause | Python | |||||
| A repository of concepts related to neural networks for NLP | ||||||||||
| Nonautoreggenprogress | 290 | a year ago | 2 | cc0-1.0 | ||||||
| Tracking the progress in non-autoregressive generation (translation, transcription, etc.) | ||||||||||
| Hscrf Pytorch | 261 | 6 years ago | 4 | Python | ||||||
| ACL 2018: Hybrid semi-Markov CRF for Neural Sequence Labeling (http://aclweb.org/anthology/P18-2038) | ||||||||||
| Nlp Papers | 248 | 3 years ago | ||||||||
| Papers I have read, mainly about NLP. Welcome everyone to supplement in issue. | ||||||||||
| What I Have Read | 149 | 2 years ago | ||||||||
| Paper Lists, Notes and Slides, Focus on NLP. For summarization, please refer to https://github.com/xcfcode/Summarization-Papers | ||||||||||
| Neural Belief Tracker | 139 | 6 years ago | 6 | apache-2.0 | Python | |||||
| Fully Statistical Neural Belief Tracker (Mrkšić and Vulić, ACL 2018) | ||||||||||
| Zero | 131 | a year ago | bsd-3-clause | Python | ||||||
| Zero -- A neural machine translation system | ||||||||||
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Python
Natural Language Processing
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Acl
Questions And Answers