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Sentence-Pair Classification
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논문
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Can linguists better understand DNA?
Generating Synthetic Datasets for Few-shot Prompt Tuning
A Generic NLI approach for Classification of Sentiment Associated with Therapies
Link Prediction for Wikipedia Articles as a Natural Language Inference Task
mPMR: A Multilingual Pre-trained Machine Reader at Scale
Data Augmentation for Conflict and Duplicate Detection in Software Engineering Sentence Pairs
Transfer learning for conflict and duplicate detection in software requirement pairs
Fine-mixing: Mitigating Backdoors in Fine-tuned Language Models
Multi-label topic classification for COVID-19 literature with Bioformer
Sparse Distillation: Speeding Up Text Classification by Using Bigger Student Models
Revisiting Self-Training for Few-Shot Learning of Language Model
Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning
Unsupervised Pre-training with Structured Knowledge for Improving Natural Language Inference
FewCLUE: A Chinese Few-shot Learning Evaluation Benchmark
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark
Neural semi-Markov CRF for Monolingual Word Alignment
MCL@IITK at SemEval-2021 Task 2: Multilingual and Cross-lingual Word-in-Context Disambiguation using Augmented Data, Signals, and Transformers
Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models
Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach
Adversarial Grammatical Error Correction
Elastic weight consolidation for better bias inoculation
CLUE: A Chinese Language Understanding Evaluation Benchmark
End-to-End Resume Parsing and Finding Candidates for a Job Description using BERT
Continual and Multi-Task Architecture Search
Generating Token-Level Explanations for Natural Language Inference
Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence
Glyce: Glyph-vectors for Chinese Character Representations
Sentence Encoding with Tree-constrained Relation Networks
Why and How to Pay Different Attention to Phrase Alignments of Different Intensities
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.