https://github.com/sidak/SentEval
Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
Papers with Code 아카이브
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/sign-language-processing/spoken-to-signed-translation
An Open-Source Gloss-Based Baseline for Spoken to Signed Language Translation
https://github.com/silversolver/ai_boundary_detection
https://github.com/simnyatsanga/image-caption-generator
https://github.com/simonjisu/NMT
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/simonjisu/nsmc_study
https://github.com/sindhusweety/VAE-Generating-Sentences-From-a-Continuous-Space
https://github.com/siyuofzhou/CNNSeqToSeq
A Convolutional Encoder Model for Neural Machine Translation
https://github.com/sjj0403/Datasets-for-code-summarization-evaluation
https://github.com/skesiraju/pylibs
A Bayesian Multilingual Document Model for Zero-shot Topic Identification and Discovery
https://github.com/skgabriel/paracomet
Paragraph-level Commonsense Transformers with Recurrent Memory
https://github.com/ski-net/lipnet
https://github.com/skojaku/Practical-Guide-to-Sentence-Transformers
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/skoltech-nlp/russe_detox_2022
https://github.com/skytliang/multi-agents-debate
Exploring Human-Like Translation Strategy with Large Language Models
https://github.com/sleepinyourhat/vector-entailment
Tree-structured composition in neural networks without tree-structured architectures
https://github.com/slme1109/Lyrics_Generator_Using_LSTM
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/slme1109/lyrics-generator
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/smarton-empower/smarton-ai
https://github.com/smile-data/smile
https://github.com/sminer3/duplicate_statement_detection
A Decomposable Attention Model for Natural Language Inference
https://github.com/smisthzhu/attentionocr
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/sntcristian/and-kge
SPECTER: Document-level Representation Learning using Citation-informed Transformers
https://github.com/social-ai-studio/matk
LXMERT: Learning Cross-Modality Encoder Representations from Transformers
https://github.com/sonalinayak/nlg-eval
https://github.com/songyang0716/NLP/blob/master/natural_language_inference/BiLSTM_encoders_with_intra-attention/model.py
Learning Natural Language Inference using Bidirectional LSTM model and Inner-Attention
https://github.com/songyang0716/NLP/tree/master/natural_language_inference/sentence_encoding_RNN
A large annotated corpus for learning natural language inference
https://github.com/songyouwei/ABSA-PyTorch
Effective LSTMs for Target-Dependent Sentiment Classification
https://github.com/sonos/svc-demographic-bias-assessment
https://github.com/sooftware/Attention-Implementation
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/sooftware/attentions
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/sooftware/nlp-attentions
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/soran-ghaderi/torchebm
https://github.com/sordonia/distance_parser
Straight to the Tree: Constituency Parsing with Neural Syntactic Distance
https://github.com/soskek/bookcorpus
https://github.com/soskek/homemade_bookcorpus
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.