TWEC

2000년 도입 · 논문 7편에서 사용

TWEC is a method to generate temporal word embeddings: this method is efficient and it is based on a simple heuristic: we train an atemporal word embedding, the compass and we use this embedding to freeze one of the layers of the CBOW architecture. The frozen architecture is then used to train time-specific slices that are all comparable after training.

출처: Training Temporal Word Embeddings with a Compass

소개 논문: Training Temporal Word Embeddings with a Compass