https://github.com/slateauthors/slate
공식 코드SLATE: A Sequence Labeling Approach for Task Extraction from Free-form Inked Content
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
SLATE: A Sequence Labeling Approach for Task Extraction from Free-form Inked Content
Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence Embedding
The first neural machine translation system for the Erzya language
PSSL: Self-supervised Learning for Personalized Search with Contrastive Sampling
Unsupervised Discrete Sentence Representation Learning for Interpretable Neural Dialog Generation
D3G: Exploring Gaussian Prior for Temporal Sentence Grounding with Glance Annotation
Assessing the Limitations of Large Language Models in Clinical Fact Decomposition
Are the Best Multilingual Document Embeddings simply Based on Sentence Embeddings?
Conditional Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation
Time-Aware Representation Learning for Time-Sensitive Question Answering
Single-Sentence Reader: A Novel Approach for Addressing Answer Position Bias
Transformers for Headline Selection for Russian News Clusters
Balancing the Style-Content Trade-Off in Sentiment Transfer Using Polarity-Aware Denoising
CheckEmbed: Effective Verification of LLM Solutions to Open-Ended Tasks
SoundChoice: Grapheme-to-Phoneme Models with Semantic Disambiguation
Linguistic Structure Guided Context Modeling for Referring Image Segmentation
ACLM: A Selective-Denoising based Generative Data Augmentation Approach for Low-Resource Complex NER
DALE: Generative Data Augmentation for Low-Resource Legal NLP
NMT-Obfuscator Attack: Ignore a sentence in translation with only one word
Targeted Adversarial Attacks against Neural Machine Translation
Block-Sparse Adversarial Attack to Fool Transformer-Based Text Classifiers
Multiple Instance Learning Networks for Fine-Grained Sentiment Analysis
RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder
Bitext Mining for Low-Resource Languages via Contrastive Learning
Likelihood-based Mitigation of Evaluation Bias in Large Language Models
SMPOST: Parts of Speech Tagger for Code-Mixed Indic Social Media Text
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.