Contextualized Word Embeddings

Multilingual Universal Sentence Encoder

Introduced by Yang et al. in Multilingual Universal Sentence Encoder for Semantic Retrieval

Papers


Paper Code Results Date Stars

Tasks


Task Papers Share
Sentence 10 18.18%
Text Classification 3 5.45%
Semantic Similarity 2 3.64%
Semantic Textual Similarity 2 3.64%
Adversarial Attack 2 3.64%
Fairness 2 3.64%
Chatbot 2 3.64%
Decision Making 2 3.64%
Optical Flow Estimation 2 3.64%

Components


Component Type
🤖 No Components Found You can add them if they exist; e.g. Mask R-CNN uses RoIAlign

Categories