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Sentence Classification
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://bitbucket.org/tsendeemts/nse
공식 코드https://bitbucket.org/tsendeemts/nti
공식 코드https://github.com/AdrianArnaiz/fair-shap
공식 코드Towards Algorithmic Fairness by means of Instance-level Data Re-weighting based on Shapley Values
https://github.com/CLUEbenchmark/CLUE
공식 코드https://github.com/CQCL/qnlp_lorenz_etal_2021_resources
공식 코드QNLP in Practice: Running Compositional Models of Meaning on a Quantum Computer
https://github.com/DeepLearnXMU/Cyclic
공식 코드Neural Simile Recognition with Cyclic Multitask Learning and Local Attention
https://github.com/Eulring/GoSum
공식 코드https://github.com/Franck-Dernoncourt/pubmed-rct
공식 코드PubMed 200k RCT: a Dataset for Sequential Sentence Classification in Medical Abstracts
https://github.com/H-TayyarMadabushi/Cost-Sensitive_Bert_and_Transformers
공식 코드Cost-Sensitive BERT for Generalisable Sentence Classification with Imbalanced Data
https://github.com/Liu-Hy/nlp-contrib-graph
공식 코드https://github.com/MiuLab/RCT-Gen
공식 코드Towards Understanding of Medical Randomized Controlled Trials by Conclusion Generation
https://github.com/NYU-MLL/spinn
공식 코드Do latent tree learning models identify meaningful structure in sentences?
https://github.com/Neutralzz/syntax_aware_local_attention
공식 코드https://github.com/OctoberChang/X-Transformer
공식 코드Taming Pretrained Transformers for Extreme Multi-label Text Classification
https://github.com/ShannonAI/glyce
공식 코드https://github.com/THEEJUNG/PosCal
공식 코드Posterior Calibrated Training on Sentence Classification Tasks
https://github.com/Teddyzander/FairR
공식 코드How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness Strategies
https://github.com/allenai/scibert
공식 코드https://github.com/allenai/scicite
공식 코드Structural Scaffolds for Citation Intent Classification in Scientific Publications
https://github.com/allenai/sequential_sentence_classification
공식 코드Pretrained Language Models for Sequential Sentence Classification
https://github.com/amao0o0/synwmd
공식 코드SynWMD: Syntax-aware Word Mover's Distance for Sentence Similarity Evaluation
https://github.com/aminkaramlou/qnlg
공식 코드https://github.com/amirveyseh/definition_extraction
공식 코드A Joint Model for Definition Extraction with Syntactic Connection and Semantic Consistency
https://github.com/amr-keleg/aldi-and-iaa
공식 코드https://github.com/arthurbra/sequential-sentence-classification
공식 코드Cross-Domain Multi-Task Learning for Sequential Sentence Classification in Research Papers
https://github.com/asking28/offenseval2020
공식 코드https://github.com/asking28/sentimix2020
공식 코드https://github.com/boschresearch/adversarial_meta_embeddings
공식 코드FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations
https://github.com/cbluebenchmark/cblue
공식 코드CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark
https://github.com/cimm-kzn/RuDReC
공식 코드https://github.com/cisnlp/colexificationnet
공식 코드https://github.com/csebuetnlp/banglabert
공식 코드https://github.com/dhirlea/contextual_sentence_classification
공식 코드Contextual Sentence Classification: Detecting Sustainability Initiatives in Company Reports
https://github.com/dmcb-gist/exploit_all_samples
공식 코드https://github.com/dmis-lab/biobert
공식 코드BioBERT: a pre-trained biomedical language representation model for biomedical text mining
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.