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

https://github.com/asgaardlab/test-case-similarity-technique

Universal Sentence Encoder

https://github.com/asprout/CPSC490

Mapping Between fMRI Responses to Movies and their Natural Language Annotations

https://github.com/asreview/asreview-multilingual-feature-extractor

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

https://github.com/assulthoni/TweetSentimentIndoBERT

IndoNLU: Benchmark and Resources for Evaluating Indonesian Natural Language Understanding

https://github.com/astanway/gated-conv-nets

Language Modeling with Gated Convolutional Networks

https://github.com/astorfi/neural-machine-translation-from-scratch

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/astorfi/sequence-to-sequence-from-scratch

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/asyml/texar/tree/master/examples/text_style_transfer

Toward Controlled Generation of Text

https://github.com/atb033/multi_agent_path_planning

Split and Rephrase

https://github.com/atharv6/Image-Captioning

Show and Tell: A Neural Image Caption Generator

https://github.com/atharvajdhumal/Sentiment-Analysis

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

https://github.com/atpaino/deep-text-corrector

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/atreyasha/semantic-isometry-nmt

PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification

https://github.com/attardi/CNN_sentence

Convolutional Neural Networks for Sentence Classification

https://github.com/atun-MEI/AI-Course-Final

Show and Tell: A Neural Image Caption Generator

https://github.com/au1206/Convolutional-Neural-Networks-for-Sentence-Classification

Convolutional Neural Networks for Sentence Classification

https://github.com/audqhsid/-Review-CNN-for-Sentence-Classification

Convolutional Neural Networks for Sentence Classification

https://github.com/audreyvm/tfm_gender_bias

Gender in Danger? Evaluating Speech Translation Technology on the MuST-SHE Corpus

https://github.com/austnbell/TextSummarizationFederatedLearning

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

https://github.com/autoliuweijie/K-BERT

K-BERT: Enabling Language Representation with Knowledge Graph

https://github.com/autoliuweijie/bert-whitening-pytorch

Whitening Sentence Representations for Better Semantics and Faster Retrieval

https://github.com/autosimtrans/SimulTransBaseline

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

https://github.com/autumn0409/Log-based-Anomaly-Detection-System

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

https://github.com/avidale/encodechka

Sentence Embeddings for Russian NLU

https://github.com/avinashsai/Convolutional-Neural-Networks-for-Text-Classification

Convolutional Neural Networks for Sentence Classification

https://github.com/avinassh/kylo

Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

https://github.com/avmb/marian-mbart

Multilingual Denoising Pre-training for Neural Machine Translation

https://github.com/avshalomc/subtract

Style Transfer Through Back-Translation

https://github.com/awesomericky/Speech2Pickup

Audio-Linguistic Embeddings for Spoken Sentences

https://github.com/awinml/qg-lta

Learning to Ask: Neural Question Generation for Reading Comprehension

https://github.com/awsm-research/autotransform-replication

Training Tips for the Transformer Model

https://github.com/ayeshaenayet/dac-use

A Transfer Learning Approach for Dialogue Act Classification of GitHub Issue Comments

https://github.com/b-etienne/Seq2seq-PyTorch

Neural Machine Translation by Jointly Learning to Align and Translate

https://github.com/b05902062/TDConvED

Temporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning

https://github.com/b2renger/Runway-experiment-img2txt2img2txt

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

https://github.com/babylonhealth/MultilingualFactorAnalysis

Unsupervised Machine Translation Using Monolingual Corpora Only

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