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EMNLP2020 论文实现代码(持续更新中)

EMNLP2020 论文实现代码(持续更新中) AMiner AI
2020-11-13
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导读:更多论文实现代码,尽在AMiner。

导语:EMNLP,是自然语言处理经验方法会议(Conference on Empirical Methods in Natural Language Processing),是由国际语言学会(ACL)下属的SIGDAT小组主办的自然语言处理领域的顶级国际会议,也是自然语言算法的A类会议。EMNLP2020共审阅论文3359篇,接收754篇,接收率为22.4%。
小脉根据AMiner-EMNLP2020论文情况,整理了EMNLP2020论文实现代码合集,让大家能对论文进行复现,论文集持续更新中,欢迎大家关注!
(如果您的论文已经开源,小脉没有整理到,可以添加小脉微信,私聊小脉哦~)

1.论文标题:GRADE: Automatic Graph-Enhanced Coherence Metric for Evaluating Open-Domain Dialogue Systems
论文链接:https://www.aminer.cn/pub/5f7fe6d80205f07f68973200?conf=emnlp2020
GitHub链接:https://github.com/li3cmz/GRADE

2.论文标题:Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading
论文链接:https://www.aminer.cn/pub/5f7c4b8891e0117ac2a78ae7?conf=emnlp2020
GitHub链接:https://github.com/Yifan-Gao/Discern

3.论文标题:Visually Grounded Compound PCFGs
论文链接:https://www.aminer.cn/pub/5f759cc591e0111c1eb4d25c?conf=emnlp2020
GitHub链接:https://github.com/zhaoyanpeng/vpcfg

4.论文标题:Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?(EMNLP 2020 Findings )
论文链接:https://www.aminer.cn/pub/5f803a4f91e01119a5df7473/leakage-adjusted-simulatability-can-models-generate-non-trivial-explanations-of-their-behavior
GitHub链接:https://github.com/peterbhase/LAS-NL-Explanations

5.论文标题:Dialogue Response Ranking Training with Large-Scale Human Feedback Data
论文链接:https://www.aminer.cn/pub/5f61e3aa91e011fae8fd6a87?conf=emnlp2020
GitHub链接:https://github.com/golsun/DialogRPT

6. 论文标题:Knowledge Association with Hyperbolic Knowledge Graph Embeddings
论文链接:https://www.aminer.cn/pub/5f7c567791e0117ac2a78c2b?conf=emnlp2020
GitHub链接:https://github.com/nju-websoft/HyperKA

7. 论文标题:Structured Attention for Unsupervised Dialogue Structure Induction
论文链接:https://www.aminer.cn/pub/5f68707691e011c23f13b4d7?conf=emnlp2020
GitHub链接:https://github.com/Liang-Qiu/SVRNN-dialogues

8. 论文标题:Generating Radiology Reports via Memory-driven Transformer.
论文链接:https://www.aminer.cn/pub/5f7fe6d80205f07f689731fa?conf=emnlp2020
GitHub链接:https://github.com/cuhksz-nlp/R2Gen

9. 论文标题:Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering
论文链接:https://www.aminer.cn/pub/5eb78919da5629cf244303cf?conf=emnlp2020
GitHub链接:https://github.com/INK-USC/MHGRN

10. 论文标题:Hierarchical Graph Network for Multi-hop Question Answering
论文链接:https://www.aminer.cn/pub/5dca89783a55ac77dcb01e28?conf=emnlp2020
GitHub链接:https://github.com/yuwfan/HGN

11. 论文标题:Unsupervised Commonsense Question Answering with Self-Talk
论文链接:https://www.aminer.cn/pub/5e96db3891e01129d1a03f19?conf=emnlp2020
GitHub链接:https://github.com/vered1986/self_talk

12. 论文标题:Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference, Disease Name Recognition.
论文链接:https://www.aminer.cn/pub/5f7fe6d80205f07f68973229?conf=emnlp2020
GitHub链接:https://github.com/heyunh2015/diseaseBERT

13. 论文标题:Look at the First Sentence: Position Bias in Question Answering
论文链接:https://www.aminer.cn/pub/5eabf34391e011664ffd289c?conf=emnlp2020
GitHub链接:https://github.com/dmis-lab/position-bias

14. 论文标题:Few-shot Complex Knowledge Base Question Answering via Meta Reinforcement Learning.
论文链接:https://www.aminer.cn/pub/5f7fe6d80205f07f689731ef?conf=emnlp2020
GitHub链接:https://github.com/DevinJake/MRL-CQA

15. 论文标题:Learning a Cost-Effective Annotation Policy for Question Answering
论文链接:https://www.aminer.cn/pub/5f7eebf291e011a5faf0fff0?conf=emnlp2020
GitHub链接:https://github.com/bernhard2202/qa-annotation

16. 论文标题:Context-Aware Answer Extraction in Question Answering.
论文链接:https://www.aminer.cn/pub/5f7fe6d80205f07f68973190?conf=emnlp2020
GitHub链接:https://github.com/yeonsw/BLANC

17. 论文标题:Language Model Prior for Low-Resource Neural Machine Translation
论文链接:https://www.aminer.cn/pub/5eabf34c91e011664ffd29e2?conf=emnlp2020
GitHub链接:https://github.com/cbaziotis/lm-prior-for-nmt

18. 论文标题:Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation
论文链接:https://www.aminer.cn/pub/5f7d934191e011346ad27e11?conf=emnlp2020
GitHub链接:https://github.com/wxjiao/Data-Rejuvenation

19. 论文标题:Shallow-to-Deep Training for Neural Machine Translation.
论文链接:https://www.aminer.cn/pub/5f7fe6d80205f07f689732f0?conf=emnlp2020
GitHub链接:https://github.com/libeineu/SDT-Training

20. 论文标题:Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information
论文链接:https://www.aminer.cn/pub/5f7ee00791e011a5faf0fea2?conf=emnlp2020
GitHub链接:https://github.com/linzehui/mRASP

更多EMNLP2020论文,可以关注公众号或者链接直达EMNLP2020专题,最前沿的研究方向和最全面的论文数据等你来~

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