TA-SBERT: Token Attention Sentence-BERT for Improving Sentence Representation
A sentence embedding vector can be obtained by connecting a global average pooling (GAP) to a pre-trained language model. The problem of such a sentence embedding vector using a GAP is that it is generated with the same weight for all words appearing in the sentence. We propose a novel sentence embe...
Salvato in:
| Autori principali: | , , , |
|---|---|
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
IEEE
2022-01-01
|
| Serie: | IEEE Access |
| Soggetti: | |
| Accesso online: | https://ieeexplore.ieee.org/document/9749108/ |
| Tags: |
Nessun Tag, puoi essere il primo ad aggiungerne!!
|