https://github.com/vastsak/tree_structured_gru
Improved Semantic Representations From Tree-Structured Long Short-Term Memory 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/vchitect/seine
SEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction
https://github.com/vchopin/ERNIE_Emotect
ERNIE: Enhanced Representation through Knowledge Integration
https://github.com/vectara/hallucination-leaderboard
AlignScore: Evaluating Factual Consistency with a Unified Alignment Function
https://github.com/whitneysattler/Skip-Thoughts
https://github.com/woodfrog/vse_infty
Crisscrossed Captions: Extended Intramodal and Intermodal Semantic Similarity Judgments for MS-COCO
https://github.com/xiangyue9607/SanText
https://github.com/xiaoouwang/frenchnlp
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/yangyucheng000/Paper-4/tree/main/MED_MindSpore
https://github.com/yangyucheng000/University/tree/main/model-2/ernie
ERNIE: Enhanced Representation through Knowledge Integration
https://github.com/yjiangcm/dcpcse
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/yjiangcm/promcse
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/yur7nd/ptss
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/zep283/Semantic_Similarity
https://github.com/zhihaillm/wisdominterrogatory
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
https://github.com/zhuhai-ustc/limeattack
Generating Natural Language Attacks in a Hard Label Black Box Setting
https://github.com/zliucr/mixed-language-training
https://github.com/zxk19981227/LSTM-SST
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.