Sentence Embeddings
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/willzli/bilstm_selfattention
https://github.com/windsuzu/Enhance-Chinese-to-Japanese-Neural-Machine-Translation
https://github.com/windsuzu/improving-NMT-ch-jp
https://github.com/wutong8023/Lifelong_Relation_Detection_with_Meta_Learning
Sentence Embedding Alignment for Lifelong Relation Extraction
https://github.com/xalanq/chinese-sentiment-classification
https://github.com/xashru/mixup-text
Augmenting Data with Mixup for Sentence Classification: An Empirical Study
https://github.com/xcfcode/Summarization-Papers
https://github.com/xiaoouwang/frenchnlp
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/yalsaffar/S-COLBERT
ColBERT: Using BERT Sentence Embedding in Parallel Neural Networks for Computational Humor
https://github.com/yangzonglin1994/bilm-tf-extended
Evaluation of sentence embeddings in downstream and linguistic probing tasks
https://github.com/yannvgn/laserembeddings
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
https://github.com/yanqi1811/attention-is-all-you-need
https://github.com/yipingnus/scratchplot-story-generation
https://github.com/yjiangcm/dcpcse
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/young-zonglin/bilm-tf-extended
Evaluation of sentence embeddings in downstream and linguistic probing tasks
https://github.com/yueyongjiao/Transformer-Contextual
https://github.com/yueyongjiao/attention_is_all_you_need_pytorch
https://github.com/yuhaonankaka/adl_maskrcnn
ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language
https://github.com/yur7nd/ptss
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/yuriak/PPDAI
https://github.com/yyfsXZ/structured_self_attention_sent_embedding
https://github.com/zhangbo2008/best_pytorch_transformer
https://github.com/zhihaillm/wisdominterrogatory
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/ziegler-ingo/cleavage_prediction
Augmenting Data with Mixup for Sentence Classification: An Empirical Study
https://github.com/zyli93/saecon
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.