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

https://github.com/Paarth3098/chatbot_p

A Neural Conversational Model

https://github.com/PaddlePaddle/PaddleClas

Transformer in Transformer

https://github.com/PaddlePaddle/PaddleNLP/blob/develop/paddlenlp/transformers/albert/modeling.py

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

https://github.com/PaddlePaddle/PaddleNLP/blob/develop/paddlenlp/transformers/nezha/modeling.py

NEZHA: Neural Contextualized Representation for Chinese Language Understanding

https://github.com/PaddlePaddle/PaddleNLP/tree/develop/examples/language_model/chinesebert

ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information

https://github.com/PaddlePaddle/PaddleNLP/tree/develop/examples/language_model/gpt-3

Language Models are Few-Shot Learners

https://github.com/PaddlePaddle/PaddleNLP/tree/develop/examples/sentiment_analysis/textcnn

Convolutional Neural Networks for Sentence Classification

https://github.com/PaddlePaddle/PaddleNLP/tree/develop/examples/text_generation/vae-seq2seq

Generating Sentences from a Continuous Space

https://github.com/PaddlePaddle/PaddleNLP/tree/develop/examples/text_matching/sentence_transformers

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

https://github.com/PaddlePaddle/PaddleNLP/tree/develop/examples/text_matching/simcse

SimCSE: Simple Contrastive Learning of Sentence Embeddings

https://github.com/PaddlePaddle/PaddleNLP/tree/develop/model_zoo/ernie-m

ERNIE-M: Enhanced Multilingual Representation by Aligning Cross-lingual Semantics with Monolingual Corpora

https://github.com/PaddlePaddle/PaddleNLP/tree/develop/paddlenlp/transformers/mpnet

MPNet: Masked and Permuted Pre-training for Language Understanding

https://github.com/PaddlePaddle/PaddleRec/tree/release/2.1.0/models/contentunderstanding/textcnn

Convolutional Neural Networks for Sentence Classification

https://github.com/PaddlePaddle/PaddleSpeech

Unified Streaming and Non-streaming Two-pass End-to-end Model for Speech Recognition

https://github.com/Panda0406/Adversarial-Learning-Distant-Supervision-RE

Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning

https://github.com/Panda0406/Reinforcement-Learning-Distant-Supervision-RE

Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning

https://github.com/PatrickPrakash/LiptoSpeech

LipNet: End-to-End Sentence-level Lipreading

https://github.com/Pillercottrer/radcap_project

Show and Tell: A Neural Image Caption Generator

https://github.com/PinzhenChen/sacreCOMET

xCOMET: Transparent Machine Translation Evaluation through Fine-grained Error Detection

https://github.com/PlatDrake2875/LipNet

LipNet: End-to-End Sentence-level Lipreading

https://github.com/PlusLabNLP/Plot-guided-Coherence-Evaluation

HellaSwag: Can a Machine Really Finish Your Sentence?

https://github.com/PlusLabNLP/TempGen

GRIT: Generative Role-filler Transformers for Document-level Event Entity Extraction

https://github.com/Polly42Rose/SiriusIntentPredictionSlotFilling

BERT for Joint Intent Classification and Slot Filling

https://github.com/PolyAI-LDN/task-specific-datasets

Efficient Intent Detection with Dual Sentence Encoders

https://github.com/Prakhar0409/question-generation

Learning to Ask: Neural Question Generation for Reading Comprehension

https://github.com/Pranav-Patil-7/Automatic_Image_Captioning_Project

Show and Tell: A Neural Image Caption Generator

https://github.com/Pranav21091996/Semantic_Fidelity-and-Egoshots

Decoupled Novel Object Captioner

https://github.com/PranavR-2001/Project_Med_Skim

Neural Networks for Joint Sentence Classification in Medical Paper Abstracts

https://github.com/PrashantRanjan09/Structured-Self-Attentive-Sentence-Embedding

A Structured Self-attentive Sentence Embedding

https://github.com/ProKil/FewRel

FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation

https://github.com/PyAntony/hate-speech

Hate Speech Dataset from a White Supremacy Forum

https://github.com/QunBB/DeepLearning/blob/main/recommendation/rank/contextnet.py

ContextNet: A Click-Through Rate Prediction Framework Using Contextual information to Refine Feature Embedding

https://github.com/RRisto/quickthoughts

An efficient framework for learning sentence representations

https://github.com/RUCAIBox/LLMBox

Language Models are Few-Shot Learners

https://github.com/RaRe-Technologies/gensim

An Unsupervised Approach for Aspect Category Detection Using Soft Cosine Similarity Measure

https://github.com/RachelChen1116/WikiNLI

WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia

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