Sentence Pair Modeling
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Comparing two sentences and their relationship based on their internal representation.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/IMPLabUniPr/UniParma-at-semeval-2021-task-5
https://github.com/INK-USC/AFET
Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding
https://github.com/IljaSamoilov/subtitle_prettifier
https://github.com/InsaneLife/dssm
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/LaiXinyi823/emotect
ERNIE: Enhanced Representation through Knowledge Integration
https://github.com/Mind23-2/MindCode-100
ERNIE: Enhanced Representation through Knowledge Integration
https://github.com/Mind23-2/MindCode-17
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks
https://github.com/Mind23-2/MindCode-99
ERNIE: Enhanced Representation through Knowledge Integration
https://github.com/MindCode-4/code-3/tree/main/ernie
ERNIE: Enhanced Representation through Knowledge Integration
https://github.com/MindCode-4/code-3/tree/main/ernie_m
ERNIE: Enhanced Representation through Knowledge Integration
https://github.com/MindSpore-paper-code-3/code9/tree/main/emotect
ERNIE: Enhanced Representation through Knowledge Integration
https://github.com/OctopusMind/longBert
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/PaddlePaddle/ERNIE
ERNIE: Enhanced Representation through Knowledge Integration
https://github.com/PaddlePaddle/PaddleNLP/tree/develop/examples/text_matching/sentence_transformers
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/PointCloudYC/SQN_tensorflow
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds
https://github.com/QiaoLiuHit/MLSSNet
Learning Deep Multi-Level Similarity for Thermal Infrared Object Tracking
https://github.com/QuocThangNguyen/deep-metric-learning-tsinghua-dogs
https://github.com/RaviTejaMaddhini/SBERT-Tensorflow-implementation
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/RobustNLP/TestTranslation
SemMT: A Semantic-based Testing Approach for Machine Translation Systems
https://github.com/SVAIGBA/TwASP
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations
https://github.com/SVAIGBA/WMSeg
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations
https://github.com/SathesanThavabalasingam/skipthoughts
https://github.com/SeanLee97/AnglE
BeLLM: Backward Dependency Enhanced Large Language Model for Sentence Embeddings
https://github.com/Shujian2015/meta-embedding-paper-list
Think Globally, Embed Locally --- Locally Linear Meta-embedding of Words
https://github.com/Siamul/NLP-Project
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/SimengSun/CIS530-project
https://github.com/Susheel-1999/Sentence_Similarity
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/TheNeuromancer/SentEmb
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/Vivswan/Sentiment-Analysis-TreeLSTM
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks
https://github.com/Walid-Rahman2/modified_sentence_transfomers
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/Y-Sui/GPT4Table
https://github.com/YYGe01/ZEN
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations
https://github.com/YinpeiDai/NAUM
https://github.com/abhilash1910/ClusterTransformer
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/ahmedssabir/Textual-Visual-Semantic-Dataset-for-Text-Spotting
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.