https://github.com/hsgodhia/hred
Mutual Information and Diverse Decoding Improve Neural Machine Translation
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/hsjplus/high-level-kb-reasoning
Tackling Domain-Specific Winograd Schemas with Knowledge-Based Reasoning and Machine Learning
https://github.com/hthoai/image-text-matching
https://github.com/huggingface/bert-syntax
https://github.com/hughbzhang/HUSE
Unifying Human and Statistical Evaluation for Natural Language Generation
https://github.com/huulinhcvp/chatBot
Neural Machine Translation by Jointly Learning to Align and Translate
https://github.com/hwijeen/CPTG
https://github.com/hx19940102/Image-Captioning
https://github.com/hyeonsuukang/augmenting_tochi22
DiscoFuse: A Large-Scale Dataset for Discourse-Based Sentence Fusion
https://github.com/hyintell/retrievalqa
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
https://github.com/hyunwoongko/asian-bart
Multilingual Denoising Pre-training for Neural Machine Translation
https://github.com/i-machine-think/emergent_grammar_induction
Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Autoencoders
https://github.com/i2r-simmc/i2r-simmc-2020
https://github.com/iVMCL/AOGNet-v2
AOGNets: Compositional Grammatical Architectures for Deep Learning
https://github.com/ialifinaritra/text_summarization
FlauBERT: Unsupervised Language Model Pre-training for French
https://github.com/iambabao/copynet
https://github.com/ibatra/nlm
https://github.com/ibm/graph_ensemble_learning
https://github.com/icewing1996/bert-syntax
https://github.com/ictmcg/endef-sigir2022
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
https://github.com/ictnlp/LSG
Agent-SiMT: Agent-assisted Simultaneous Machine Translation with Large Language Models
https://github.com/ictnlp/nast-s2x
Non-Monotonic Latent Alignments for CTC-Based Non-Autoregressive Machine Translation
https://github.com/idanmoradarthas/text-summarization
https://github.com/idejie/SCAN
https://github.com/idiap/analogy_learning
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/ifrit98/layer-glu
https://github.com/iinemo/lm-polygraph
https://github.com/iit-nlp-research/chatgpt-crawler
CODAH: An Adversarially Authored Question-Answer Dataset for Common Sense
https://github.com/imamathcat/LASER_Dependencies
Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings
https://github.com/imperialite/BERT-Embeddings-For-ARA
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/imran3180/pytorch-nli
https://github.com/indigo-dc/conus-classification-theano
https://github.com/indigo-dc/phytoplankton-classification-theano
https://github.com/indigo-dc/seeds-classification-theano
https://github.com/inmoonlight/confcrawl
A Bilingual Generative Transformer for Semantic Sentence Embedding
https://github.com/insait-institute/lm-evaluation-harness-bg
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.