https://github.com/kihohan/NLP_Reference
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Papers with Code 아카이브
Semantic Similarity
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 2
- 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/kushalpatil1997/text_to_image_synthesis
https://github.com/lambert-x/prolab
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/law-ai/summarization
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/lihenglin/bridge_training_code
FlowRetrieval: Flow-Guided Data Retrieval for Few-Shot Imitation Learning
https://github.com/liseda-lab/KGE_Predictions_GD
Predicting Gene-Disease Associations with Knowledge Graph Embeddings over Multiple Ontologies
https://github.com/lonePatient/ERNIE-text-classification-pytorch
ERNIE: Enhanced Representation through Knowledge Integration
https://github.com/lppier/Topic_Modelling_Top2Vec_BERTopic
https://github.com/lrank/Linguistic_adversity
https://github.com/luweizhang/joint_embeddings
https://github.com/lvyufeng/ERNIE_mindspore
ERNIE: Enhanced Representation through Knowledge Integration
https://github.com/lyqcom/emotect
ERNIE: Enhanced Representation through Knowledge Integration
https://github.com/martinomensio/spacy-sentence-bert
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/max-planck-innovation-competition/sentence-transformers
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/mayug/freeze-align
From Unimodal to Multimodal: Scaling up Projectors to Align Modalities
https://github.com/microsoft/MT-DNN
https://github.com/munashe5/SemanticTreeLSTM
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks
https://github.com/natasha/navec
https://github.com/nathanshartmann/portuguese_word_embeddings
Portuguese Word Embeddings: Evaluating on Word Analogies and Natural Language Tasks
https://github.com/ncbi-nlp/BioSentVec
https://github.com/ncbi-nlp/BioWordVec
https://github.com/nghuyong/ERNIE-Pytorch
ERNIE: Enhanced Representation through Knowledge Integration
https://github.com/nickyeolk/info_retrieve
https://github.com/nihitsaxena95/sentence-similarity-wordnet-sementic
https://github.com/nuochenpku/sscl
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/ongunuzaymacar/comparatively-finetuning-bert
https://github.com/osmanio2/multi-domain-belief-tracking
Large-Scale Multi-Domain Belief Tracking with Knowledge Sharing
https://github.com/oto-labs/librarian
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/p208p2002/Sentence-BERT-mean-operation
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/peglegpete/mixmood
More Than Meets The Eye: Semi-supervised Learning Under Non-IID Data
https://github.com/ppriyank/-Online-Soft-Mining-and-Class-Aware-Attention-Pytorch
Deep Metric Learning by Online Soft Mining and Class-Aware Attention
https://github.com/ppriyank/Video-Person-Re-ID-Fantastic-Techniques-and-Where-to-Find-Them
Deep Metric Learning by Online Soft Mining and Class-Aware Attention
https://github.com/princeton-nlp/SimCSE
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/projeto-de-algoritmos/Grafos1_Joao_Lucas_Leonardo_Miranda
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/puerrrr/focal-infonce
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/rafaljanwojcik/SentenceBERT_vs_SiameseLSTM
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.