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

https://github.com/RaffaeleGalliera/pytorch-cnn-text-classification

Convolutional Neural Networks for Sentence Classification

https://github.com/RasaHQ/rasa

Hierarchical Multi-Task Natural Language Understanding for Cross-domain Conversational AI: HERMIT NLU

https://github.com/RasaHQ/whatlies

Going Beyond T-SNE: Exposing \texttt{whatlies} in Text Embeddings

https://github.com/RaviTejaMaddhini/SBERT-Tensorflow-implementation

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

https://github.com/ReCAP-UTR/Argument-Graph-Retrieval

Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

https://github.com/RichardChangCA/CSI_5386_NLP_Project

CIDEr: Consensus-based Image Description Evaluation

https://github.com/Rishit-dagli/GLU

Language Modeling with Gated Convolutional Networks

https://github.com/Rishit-dagli/Transformer-in-Transformer

Transformer in Transformer

https://github.com/RobustNLP/TestTranslation

Structure-Invariant Testing for Machine Translation

https://github.com/RohitGanji/NLP-Medical-Paper-Abstracts-Classification

Neural Networks for Joint Sentence Classification in Medical Paper Abstracts

https://github.com/RohitGanji/medical-paper-abstract-classification

Neural Networks for Joint Sentence Classification in Medical Paper Abstracts

https://github.com/Rudedaisy/attention-is-all-you-need-pytorch

A Structured Self-attentive Sentence Embedding

https://github.com/Russzheng/CS280

Text-to-Image-to-Text Translation using Cycle Consistent Adversarial Networks

https://github.com/RyanMarcus/TreeConvolution

Convolutional Neural Networks over Tree Structures for Programming Language Processing

https://github.com/Samyu0304/thought-propagation

Language Models are Few-Shot Learners

https://github.com/Santosh-Gupta/Arxiv-Manatee

Data-driven Summarization of Scientific Articles

https://github.com/Sanyuan-Chen/RecAdam

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

https://github.com/SathesanThavabalasingam/skipthoughts

Skip-Thought Vectors

https://github.com/SathwikTejaswi/Neural-Image-Captioning

Show and Tell: A Neural Image Caption Generator

https://github.com/SatyamSoni23/Smart-Question-Answering-System-on-Document

Efficient and Robust Question Answering from Minimal Context over Documents

https://github.com/SaubanMusaddiq/Paraphrase_Detection_on_PAWS

PAWS: Paraphrase Adversaries from Word Scrambling

https://github.com/ScientiaEtVeritas/NeuralMachineTranslation

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/SeanCherngTW/NTCIR-STC3-NDDQsubtask

Short Text Conversation Based on Deep Neural Network and Analysis on Evaluation Measures

https://github.com/SebastianMacaluso/RecNN_PyTorch

QCD-Aware Recursive Neural Networks for Jet Physics

https://github.com/SebastianMacaluso/RecNN_PyTorch_batch

QCD-Aware Recursive Neural Networks for Jet Physics

https://github.com/SenticNet/CASCADE--ContextuAl-SarCAsm-DEtector

CASCADE: Contextual Sarcasm Detection in Online Discussion Forums

https://github.com/SeonbeomKim/TensorFlow-TextCNN

Convolutional Neural Networks for Sentence Classification

https://github.com/SeoroMin/transformer_pytorch

A Structured Self-attentive Sentence Embedding

https://github.com/SeoroMin/transformer_pytorch_ver2

A Structured Self-attentive Sentence Embedding

https://github.com/ShannonAI/mrc-for-dependency-parsing

Stack-Pointer Networks for Dependency Parsing

https://github.com/SharmisthaJat/RE-DS-Word-Attention-Models

Improving Distantly Supervised Relation Extraction using Word and Entity Based Attention

https://github.com/Shawn1993/cnn-text-classification-pytorch

Convolutional Neural Networks for Sentence Classification

https://github.com/ShawonAshraf/nlu-jointbert-dl2021

BERT for Joint Intent Classification and Slot Filling

https://github.com/Sherlock-coder/CasRel

A Novel Cascade Binary Tagging Framework for Relational Triple Extraction

https://github.com/ShiYaya/Awesome_Evaluation_Metrics_for_Text_Generation

BERTScore: Evaluating Text Generation with BERT

https://github.com/ShihHanChou/360grounding

Self-view Grounding Given a Narrated 360° Video

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