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

https://github.com/ShiminLei/LA-Dialog-Generation-System

Unsupervised Discrete Sentence Representation Learning for Interpretable Neural Dialog Generation

https://github.com/ShindongLee/Sentence_Classifier_CNN

Convolutional Neural Networks for Sentence Classification

https://github.com/ShroukAbozeid/ImageCaptionByVoice

Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge

https://github.com/Shubham-SK/TreeOverAte

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/Shubham-SK/kronos

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/ShuvenduBikash/transformer_spelling_corrector

A Structured Self-attentive Sentence Embedding

https://github.com/Siamul/NLP-Project

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

https://github.com/SimengSun/CIS530-project

Unsupervised Learning of Sentence Embeddings using Compositional n-Gram Features

https://github.com/SimonDele/Glossary

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/SimulTrans-demo/STACL

STACL: Simultaneous Translation with Implicit Anticipation and Controllable Latency using Prefix-to-Prefix Framework

https://github.com/Smerity/keras_snli

Learning Natural Language Inference using Bidirectional LSTM model and Inner-Attention

https://github.com/Snoopy666/Extractive-User-Review-Summaruzation-using-LSTM

SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents

https://github.com/SohaibAnwaar/lip-Reading-by-Deep-learning

LipNet: End-to-End Sentence-level Lipreading

https://github.com/Soikonomou/albert_final

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

https://github.com/Soikonomou/albert_final_infer12

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

https://github.com/Soikonomou/albert_final_infer8

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

https://github.com/Soikonomou/bert_new

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

https://github.com/Soikonomou/bert_new_new

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

https://github.com/Somefive/XNLI

XNLI: Evaluating Cross-lingual Sentence Representations

https://github.com/SophiaYuSophiaYu/ImageCaption

Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge

https://github.com/Spico197/DocEE

Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction

https://github.com/StijnVerdenius/Boosting_Text_Classifiers_by_Generative_Modelling

Generating Sentences from a Continuous Space

https://github.com/StonyBrookNLP/BioNLI

SuMe: A Dataset Towards Summarizing Biomedical Mechanisms

https://github.com/StuartCHAN/KARL

Incorporating BERT into Neural Machine Translation

https://github.com/SunbowLiu/CopyingPenalty

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

https://github.com/Suro-One/Hyena-Hierachy

A Convolutional Neural Network for Modelling Sentences

https://github.com/Suro-One/Hyena-Hierarchy

A Convolutional Neural Network for Modelling Sentences

https://github.com/Susheel-1999/Sentence_Similarity

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

https://github.com/SwordYork/DCNMT

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/Sypherd/lm-evaluation-harness

Language Models are Few-Shot Learners

https://github.com/T9-LIN/MSc-Project

Effective Approaches to Attention-based Neural Machine Translation

https://github.com/TAUSBV/sentence-level-domain-classification

Universal Sentence Encoder

https://github.com/TEAMLAB-Lecture/deep_nlp_101

Sequence to Sequence Learning with Neural Networks

https://github.com/THUDM/KOBE

BERTScore: Evaluating Text Generation with BERT

https://github.com/THUNLP-MT/Document-Transformer

Improving the Transformer Translation Model with Document-Level Context

https://github.com/THUNLP-MT/THUMT

Neural Machine Translation by Jointly Learning to Align and Translate

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