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

https://github.com/BryanPlummer/cite

Learning Two-Branch Neural Networks for Image-Text Matching Tasks

https://github.com/CAMeL-Lab/CAMeLBERT

ArSentD-LEV: A Multi-Topic Corpus for Target-based Sentiment Analysis in Arabic Levantine Tweets

https://github.com/CGCL-codes/naturalcc

Sequence to Sequence Learning with Neural Networks

https://github.com/CLUEbenchmark/LGEB

Learning to Ask: Neural Question Generation for Reading Comprehension

https://github.com/CSDN-AI7/image_caption

Show and Tell: A Neural Image Caption Generator

https://github.com/CZWin32768/xnlg

InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training

https://github.com/Cartus/AGGCN

Attention Guided Graph Convolutional Networks for Relation Extraction

https://github.com/Cathy-t/HELLO_image

Show and Tell: A Neural Image Caption Generator

https://github.com/CenIII/WSNet

A Structured Self-attentive Sentence Embedding

https://github.com/Cenrax/Image-Captioning-with-Translation-

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/ChaiBapchya/mxnet-hardmax_machine_translation

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

https://github.com/Chatha-Sphere/pno-ai

Sequence to Sequence Learning with Neural Networks

https://github.com/ChenWu98/Point-Then-Operate

A Hierarchical Reinforced Sequence Operation Method for Unsupervised Text Style Transfer

https://github.com/ChiZhangRIT/BNRHN

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

https://github.com/ChingtingC/Code-Switching-Sentence-Generation-by-GAN

Code-switching Sentence Generation by Generative Adversarial Networks and its Application to Data Augmentation

https://github.com/ChingtingC/Code-switching-Sentence-Generation-by-Generative-Adversarial-Networks-and-its-Application-to-Data-Au

Code-switching Sentence Generation by Generative Adversarial Networks and its Application to Data Augmentation

https://github.com/Chloejay/image_caption_app

Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models

https://github.com/Chung-I/Variational-Recurrent-Autoencoder-Tensorflow

Generating Sentences from a Continuous Space

https://github.com/CiprianAmz/Plagiarism_Detection

Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation

https://github.com/Claude-Zhou/MojiTalk

MojiTalk: Generating Emotional Responses at Scale

https://github.com/ClaudiuChelcea/2NHACK2021-CoverLetter-Generator-ML

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

https://github.com/Coda-s/BJTU_NLP_Practice

Convolutional Neural Networks for Sentence Classification

https://github.com/Conchylicultor/DeepQA

A Neural Conversational Model

https://github.com/CongBao/ChatBot

A Neural Conversational Model

https://github.com/CrisJk/PA-TRP

Improving Distantly Supervised Relation Extraction using Word and Entity Based Attention

https://github.com/CristianoPatricio/zsl-methods

Learning a Deep Embedding Model for Zero-Shot Learning

https://github.com/DCYN/Ramdomized-Clinical-Trail-Classification

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/DamiFur/Twitter-semeval2016

MITRE at SemEval-2016 Task 6: Transfer Learning for Stance Detection

https://github.com/Danial-Alh/fast-bleu

Jointly Measuring Diversity and Quality in Text Generation Models

https://github.com/DanielaStep/SC

Scoring Sentence Singletons and Pairs for Abstractive Summarization

https://github.com/DanielaStep/sentence_similarity_rouge

Scoring Sentence Singletons and Pairs for Abstractive Summarization

https://github.com/DasLab/superfolder-covid-mrna-vaccines

Algorithm for Optimized mRNA Design Improves Stability and Immunogenicity

https://github.com/Data-drone/cvnd_image_captioning

Show and Tell: A Neural Image Caption Generator

https://github.com/DataScienceNigeria/ALBERT-for-Natural-Language-Processing

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

https://github.com/DataScienceNigeria/SummAE-from-Google-Brain-and-MIT-CSAIL

SummAE: Zero-Shot Abstractive Text Summarization using Length-Agnostic Auto-Encoders

https://github.com/DataZwer/BaseTensorFlowModel

Convolutional Neural Networks for Sentence Classification

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