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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/balevinstein/probes
https://github.com/barnerwothers/MUSE
Unsupervised Machine Translation Using Monolingual Corpora Only
https://github.com/bcmi220/unisrl
Dependency or Span, End-to-End Uniform Semantic Role Labeling
https://github.com/bdqnghi/bi-tbcnn
Convolutional Neural Networks over Tree Structures for Programming Language Processing
https://github.com/bdqnghi/tbcnn-tensorflow
Convolutional Neural Networks over Tree Structures for Programming Language Processing
https://github.com/bdqnghi/tbcnn.tensorflow
Convolutional Neural Networks over Tree Structures for Programming Language Processing
https://github.com/bearblog/CoreRank
https://github.com/beiluo-horizon/PytorchCTR/blob/main/models/ContextNet.py
https://github.com/bekou/evidence_aware_nlp4if
https://github.com/bencrabbe/npdependency
FlauBERT: Unsupervised Language Model Pre-training for French
https://github.com/bengittelson/sow-reap-paraphrasing
Neural Syntactic Preordering for Controlled Paraphrase Generation
https://github.com/bentrevett/pytorch-sentiment-analysis
https://github.com/bentrevett/pytorch-seq2seq
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/benywon/Chinese-GPT-2
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
https://github.com/benywon/ReCO
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
https://github.com/bhchoi/bert-for-joint-ic-sf
https://github.com/bhuvanakundumani/SimCSE_unsupervised
https://github.com/bigscience-workshop/Megatron-DeepSpeed
https://github.com/bigscience-workshop/promptsource
https://github.com/bionlproc/end-to-end-combdrugext
A Dataset for N-ary Relation Extraction of Drug Combinations
https://github.com/bitextor/bicleaner-ai
A Decomposable Attention Model for Natural Language Inference
https://github.com/biyoml/End-to-End-Mandarin-ASR
Effective Approaches to Attention-based Neural Machine Translation
https://github.com/biyoml/Pytorch-End-to-End-ASR-on-TIMIT
Effective Approaches to Attention-based Neural Machine Translation
https://github.com/bkoch4142/attention-is-all-you-need-paper
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/blairstanek/cross-doc
Incremental Neural Coreference Resolution in Constant Memory
https://github.com/blazejdolicki/multilingual-analysis
https://github.com/blcuicall/ccl2022-cltc
YACLC: A Chinese Learner Corpus with Multidimensional Annotation
https://github.com/blcunlp/CNLI
A Decomposable Attention Model for Natural Language Inference
https://github.com/blickwinkel1107/making-the-most-of-context-nmt
Towards Making the Most of Context in Neural Machine Translation
https://github.com/bluemonk482/tdparse
Effective LSTMs for Target-Dependent Sentiment Classification
https://github.com/bm-k/kosentencebert-skt
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/bm-k/kosimcse-skt
https://github.com/bmcclannahan/NLP-Sentiment
https://github.com/bminixhofer/nnsplit
Where's the Point? Self-Supervised Multilingual Punctuation-Agnostic Sentence Segmentation
https://github.com/bmy4415/DMLAB-intern
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.