https://github.com/pkunlp-icler/gain
Double Graph Based Reasoning for Document-level Relation Extraction
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/plkmo/BERT-Relation-Extraction
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
https://github.com/plkumjorn/FIND
https://github.com/pltrdy/extoracle_summarization
https://github.com/pluslabnlp/aesop
https://github.com/polifack/codelin
Better, Faster, Stronger Sequence Tagging Constituent Parsers
https://github.com/postech-ami/smile-dataset
https://github.com/ppapalampidi/GraphTP
https://github.com/ppapalampidi/SUMMER
https://github.com/prabhakar267/LASER-improved
Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings
https://github.com/prabhupad26/100daysofML
Effective LSTMs for Target-Dependent Sentiment Classification
https://github.com/prachetaphadnis/NMT_Seq2Seq_LexicalModel
Effective Approaches to Attention-based Neural Machine Translation
https://github.com/prakashpandey9/Text-Classification-Pytorch
https://github.com/prakhargurawa/Neural-Machine-Translation-Keras-Attention
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/prakhargurawa/Neural-Machine-Translation-Keras-German-English
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/pranav-ust/nlm
https://github.com/pranawmishra/SkimLit
PubMed 200k RCT: a Dataset for Sequential Sentence Classification in Medical Abstracts
https://github.com/pranjalg96/Stylized-Image-captioning
https://github.com/prasad4fun/casrel-torch
A Novel Cascade Binary Tagging Framework for Relational Triple Extraction
https://github.com/praveentn/nlpaeg
https://github.com/princeton-nlp/mabel
SentEval: An Evaluation Toolkit for Universal Sentence Representations
https://github.com/prithivirajdamodaran/styleformer
Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer
https://github.com/projeto-de-algoritmos/Grafos1_Joao_Lucas_Leonardo_Miranda
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/psawa/gecko-app
https://github.com/pskrunner14/descriptor
https://github.com/psunlpgroup/xsemplr
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
https://github.com/punitMashruwala/Detecting_Humor
ColBERT: Using BERT Sentence Embedding in Parallel Neural Networks for Computational Humor
https://github.com/purvaten/punny_captions
Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge
https://github.com/pushpendughosh/Stock-market-forecasting
Neural Paraphrase Generation with Stacked Residual LSTM Networks
https://github.com/puxinhe/im2txt_v3
Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge
https://github.com/pvgladkov/knowledge-distillation
Distilling Task-Specific Knowledge from BERT into Simple Neural Networks
https://github.com/pwc-1/Paper-8/tree/main/albert
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
https://github.com/pwc-1/Paper-9/tree/main/2/mbart
Multilingual Denoising Pre-training for Neural Machine Translation
https://github.com/pwc-1/Paper-9/tree/main/2/mpnet
MPNet: Masked and Permuted Pre-training for Language Understanding
https://github.com/pwc-1/Paper-9/tree/main/2/mt5
MT6: Multilingual Pretrained Text-to-Text Transformer with Translation Pairs
https://github.com/pwc-1/Paper-9/tree/main/3/Three-Dimensional-Lip-Motion-Network-for-Text-Independent-Speaker-Recognition-master
Three-Dimensional Lip Motion Network for Text-Independent Speaker Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.