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

https://github.com/pwc-1/Paper-9/tree/main/4/Three-Dimensional-Lip-Motion-Network-for-Text-Independent-Speaker-Recognition-master

Three-Dimensional Lip Motion Network for Text-Independent Speaker Recognition

https://github.com/pwc-1/Paper-9/tree/main/longformer

PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization

https://github.com/qGentry/MetaBiLSTM

Morphosyntactic Tagging with a Meta-BiLSTM Model over Context Sensitive Token Encodings

https://github.com/qibinc/KOBE

BERTScore: Evaluating Text Generation with BERT

https://github.com/qingzwang/DiversityMetrics

CIDEr: Consensus-based Image Description Evaluation

https://github.com/qingzwang/GHA-ImageCaptioning

CNN+CNN: Convolutional Decoders for Image Captioning

https://github.com/qiuguoxia/chatbotmodal

Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets

https://github.com/qq345736500/sarcasm

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/qtli/eib

e-SNLI: Natural Language Inference with Natural Language Explanations

https://github.com/qzp2018/MCLN

EDA: Explicit Text-Decoupling and Dense Alignment for 3D Visual Grounding

https://github.com/rabbitjy/fuzztuning

Convolutional Neural Networks over Tree Structures for Programming Language Processing

https://github.com/rachit-shah/News-Classfication-using-DNN-models

Convolutional Neural Networks for Sentence Classification

https://github.com/radoslawkrolikowski/sentiment-analysis-pytorch

Convolutional Neural Networks for Sentence Classification

https://github.com/rafaljanwojcik/SentenceBERT_vs_SiameseLSTM

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

https://github.com/raghavmalawat/presentationmastery

Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data

https://github.com/rainorangelemon/TextCNN-with-Attention

Convolutional Neural Networks for Sentence Classification

https://github.com/rajatgermany/qa-nlp

Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

https://github.com/rajeev595/RHS_HierNSE

Read, Highlight and Summarize: A Hierarchical Neural Semantic Encoder-based Approach

https://github.com/rakeshmp18/Text_Analytics

Convolutional Neural Networks for Sentence Classification

https://github.com/ramanakshay/nanogpt

Language Models are Few-Shot Learners

https://github.com/randomrandom/deep-atrous-cnn-sentiment

Convolutional Neural Networks for Sentence Classification

https://github.com/ranggihwang/pregated_moe

Factuality Enhanced Language Models for Open-Ended Text Generation

https://github.com/raphael-sch/SumVAE

Unsupervised Abstractive Sentence Summarization using Length Controlled Variational Autoencoder

https://github.com/raqoon886/KoBertSum

Text Summarization with Pretrained Encoders

https://github.com/raqoon886/KorBertSum

Text Summarization with Pretrained Encoders

https://github.com/raymondhs/fairseq-laser

Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings

https://github.com/rbawden/diabla-chat-interface

DiaBLa: A Corpus of Bilingual Spontaneous Written Dialogues for Machine Translation

https://github.com/realmichaelye/NLP-State-of-the-art-Style-Transfer

Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer

https://github.com/rebnej/lick-caption-bias

Show and Tell: A Neural Image Caption Generator

https://github.com/recommeddit/labs

Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence

https://github.com/reichang182/variable-length-piano-infilling

Felix: Flexible Text Editing Through Tagging and Insertion

https://github.com/rekriz11/DeDiv

Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification

https://github.com/reneang17/authorencoder

Convolutional Neural Networks for Sentence Classification

https://github.com/reoneo97/wutr-buildon-2021

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

https://github.com/researchmm/2D-TAN

Learning 2D Temporal Adjacent Networks for Moment Localization with Natural Language

https://github.com/rezkaaufar/pytorch-cvt

Semi-Supervised Sequence Modeling with Cross-View Training

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