Papers with Code 아카이브
Semantic Similarity
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- 하위 태스크
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- 평가표
- 28
- 보존된 평가 기록
- 21
The main objective Semantic Similarity is to measure the distance between the semantic meanings of a pair of words, phrases, sentences, or documents. For example, the word “car” is more similar to “bus” than it is to “cat”. The two main approaches to measuring Semantic Similarity are knowledge-based approaches and corpus-based, distributional methods.
Source: Visual and Semantic Knowledge Transfer for Large Scale Semi-supervised Object Detection
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
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/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/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
https://github.com/ahmedssabir/dataset
https://github.com/amarazad/DSRNet
Meta-Context Transformers for Domain-Specific Response Generation
https://github.com/aneesha/SiameseBERT-Notebook
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/anlausch/LIBERT
Specializing Unsupervised Pretraining Models for Word-Level Semantic Similarity
https://github.com/antoine77340/howto100m
A Joint Sequence Fusion Model for Video Question Answering and Retrieval
https://github.com/antonionlp/antonio
NLP Verification: Towards a General Methodology for Certifying Robustness
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.