2023
Learning to Abstract with Nonparametric Variational Information Bottleneck
EMNLP 2023short findings
Learned representations at the level of characters, sub-words, words, and sentences, have each contributed to advances in understanding different NLP tasks and linguistic phenomena. However, learning textual embeddings is costly as they are tokenization specific and require different models to be tr…