Pinned Repositories
AutoSense
[AAAI2019] AutoSense Model for Word Sense Induction
awm-bart
BasisCustomize
[TACL2019] Categorical Metadata Representation for Customized Text Classification
CGS
Runnable codes of the paper "Counterfactual Generative Smoothing forImbalanced Natural Language Classification" (CIKM2021 short)
confs
DataOptimization
Runnable codes of the paper "Training Data Optimization for Pairwise Learning to Rank" (ICTIR2020)
ldi_nlp_tutorial
nlp_project_music_ai
rada
wmt_baseline
mnskim's Repositories
mnskim/ldi_nlp_tutorial
mnskim/nlp_project_music_ai
mnskim/rada
mnskim/wmt_baseline
mnskim/AutoSense
[AAAI2019] AutoSense Model for Word Sense Induction
mnskim/awm-bart
mnskim/BasisCustomize
[TACL2019] Categorical Metadata Representation for Customized Text Classification
mnskim/CGS
Runnable codes of the paper "Counterfactual Generative Smoothing forImbalanced Natural Language Classification" (CIKM2021 short)
mnskim/confs
mnskim/DataOptimization
Runnable codes of the paper "Training Data Optimization for Pairwise Learning to Rank" (ICTIR2020)
mnskim/Entity2Topic
[NAACL2018] Entity Commonsense Representation for Neural Abstractive Summarization
mnskim/export_doc2query
mnskim/HCSC
[ACL2018] Cold-Start Aware User and Product Attention for Sentiment Classification
mnskim/K-QuAD
Korean Question Answering dataset from SQuAD
mnskim/LeTraNets
[ACML2019] Text Length Adaptation in Sentiment Classification
mnskim/MCFA
[IJCAI2018] Translations as Additional Contexts for Sentence Classification
mnskim/MicroASM
[ICDM2017] Aspect Sentiment Model for Micro Reviews
mnskim/MICRON
Runnable codes of the paper "MICRON: Multigranular Interaction for Contextualizing RepresentatiON in Non-factoid Question Answering" (EMNLP2019 short)
mnskim/mnskim
Config files for my GitHub profile.
mnskim/mnskim.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
mnskim/saqa
mnskim/settings
mnskim/stc_clustering
mnskim/StrAugKG
mnskim/swebench_experiments
Open sourced predictions, execution logs, trajectories, and results from model inference + evaluation runs on the SWE-bench task.
mnskim/teamproject
teamproject
mnskim/transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.