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DRS-Cross-Lingual-Training Public
The codes for the paper ``Model-Agnostic Cross-Lingual Training for Discourse Representation Structure Parsing" and ``Soft Well-Formed Semantic Parsing with Score-Based Selection"
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aclpubcheck Public
Forked from acl-org/aclpubcheckTools for checking ACL paper submissions
Python MIT License UpdatedFeb 25, 2023 -
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Neural_DRS Public
Forked from RikVN/Neural_DRSThis repository includes the code for neural DRS parsing
Python MIT License UpdatedDec 12, 2022 -
DRS_parsing Public
Forked from RikVN/DRS_parsingScripts to evaluate scoped meaning representations
Python MIT License UpdatedJun 21, 2022 -
pytorch_tabular Public
Forked from manujosephv/pytorch_tabularA standard framework for modelling Deep Learning Models for tabular data
Python MIT License UpdatedFeb 5, 2022 -
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academicpages.github.io Public
Forked from academicpages/academicpages.github.ioGithub Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
JavaScript MIT License UpdatedMar 16, 2021 -
self-attentive-parser Public
Forked from nikitakit/self-attentive-parserHigh-accuracy NLP parser with models for 11 languages.
Python MIT License UpdatedNov 30, 2020 -
OpenDRS-py Public
Borrow openNMT codes to implememt DRS parser for various languages
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TreeDRSparsing Public
The codes for the ACL 2019 paper (bs_sattn_drssup branch)
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allennlp Public
Forked from OyvindTafjord/allennlpAn open-source NLP research library, built on PyTorch.
Python Apache License 2.0 UpdatedDec 7, 2019 -
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OpenNMT-py Public
Forked from OpenNMT/OpenNMT-pyOpen Source Neural Machine Translation in PyTorch
Python MIT License UpdatedSep 19, 2019 -
pytorch-transformers Public
Forked from huggingface/transformers👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)
Python Apache License 2.0 UpdatedSep 10, 2019 -
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reinforcement-learning Public
Forked from dennybritz/reinforcement-learningImplementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
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