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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/yyfsXZ/structured_self_attention_sent_embedding

A Structured Self-attentive Sentence Embedding

https://github.com/yyhappier/shortcutsuite

A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference

https://github.com/yzhangcs/parser

Simpler but More Accurate Semantic Dependency Parsing

https://github.com/zackhy/TextClassification

A C-LSTM Neural Network for Text Classification

https://github.com/zain-jiang/speech-editing-toolkit

CampNet: Context-Aware Mask Prediction for End-to-End Text-Based Speech Editing

https://github.com/zalkikar/mlm-bias

Unmasking the Mask -- Evaluating Social Biases in Masked Language Models

https://github.com/zeaver/multifactor

Neural Question Generation from Text: A Preliminary Study

https://github.com/zep283/Semantic_Similarity

Calculating the similarity between words and sentences using a lexical database and corpus statistics

https://github.com/zepingyu0512/neuron-attribution

How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric Learning

https://github.com/zhang0jhon/AttentionOCR

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/zhangbo2008/best_pytorch_transformer

A Structured Self-attentive Sentence Embedding

https://github.com/zhangdongxu/word-embedding-perturbation

Word Embedding Perturbation for Sentence Classification

https://github.com/zhangyuwangumass/Glyph-based-Chinese-Character-Embedding

Glyce: Glyph-vectors for Chinese Character Representations

https://github.com/zhanyang-nwpu/rsvg-pytorch

Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models

https://github.com/zhegan27/LXMERT-AdvTrain

LXMERT: Learning Cross-Modality Encoder Representations from Transformers

https://github.com/zhegan27/VILLA

LXMERT: Learning Cross-Modality Encoder Representations from Transformers

https://github.com/zhengxiangshi/dept

Don't Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner

https://github.com/zhenwang9102/coherence-boosting

The LAMBADA dataset: Word prediction requiring a broad discourse context

https://github.com/zhh6425/MotionPointNet

Pixel Sentence Representation Learning

https://github.com/zhiguowang/BiMPM

Bilateral Multi-Perspective Matching for Natural Language Sentences

https://github.com/zhihaillm/wisdominterrogatory

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

https://github.com/zhijing-jin/GEC_papers

Improving Grammatical Error Correction with Machine Translation Pairs

https://github.com/zhiqiangzhongddu/la3

Automatic Annotation Augmentation Boosts Translation between Molecules and Natural Language

https://github.com/zhiqu22/adapnoncenter

MMCR4NLP: Multilingual Multiway Corpora Repository for Natural Language Processing

https://github.com/zhou059/w266-project

Categorical Metadata Representation for Customized Text Classification

https://github.com/zhoucz97/JointBERT-paddle

BERT for Joint Intent Classification and Slot Filling

https://github.com/zhouyixin829/Analysis-on-Stop-Asian-Hate-trend-from-Twitter

Convolutional Neural Networks for Sentence Classification

https://github.com/zhuang-li/factual

DiscoSG: Towards Discourse-Level Text Scene Graph Parsing through Iterative Graph Refinement

https://github.com/ziegler-ingo/cleavage_prediction

Augmenting Data with Mixup for Sentence Classification: An Empirical Study

https://github.com/zlq2021/ca-gan

Each Attribute Matters: Contrastive Attention for Sentence-based Image Editing

https://github.com/zphang/bert_on_stilts

Sentence Encoders on STILTs: Supplementary Training on Intermediate Labeled-data Tasks

https://github.com/zphang/lm_evaluation_harness

Language Models are Few-Shot Learners

https://github.com/zysite/post

Bidirectional LSTM-CRF Models for Sequence Tagging

https://github.com/zziz/pwc

End-to-end Audio-visual Speech Recognition with Conformers

https://github.com/zzz47zzz/spurious-forgetting

Physics of Language Models: Part 3.1, Knowledge Storage and Extraction

https://gitlab.com/tony-hn/stylomet

Character-level and Multi-channel Convolutional Neural Networks for Large-scale Authorship Attribution

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.