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BERT has a Mouth, and It Must Speak: BERT as a Markov Random Field Language Model
论文
论文
发布时间2019-02-11
发表WS 2019 6 · arXiv:1902.04094
作者:Kyunghyun Cho,Alex Wang
详细介绍
We show that BERT (Devlin et al., 2018) is a Markov random field language
model. This formulation gives way to a natural procedure to sample sentences
from BERT. We generate from BERT and find that it can produce high-quality,
fluent generations. Compared to the generations of a traditional left-to-right
language model, BERT generates sentences that are more diverse but of slightly
worse quality.
代码仓库 (13)
nyu-dl/bert-gen官方PyTorch
kyunghyuncho/bert-gen官方PyTorch
vatsal199/Obedient_BERT
seanrjohnson/protein_gibbs_samplerPyTorch
woailaosang/repo_treasure
opqrstuvcut/BertMouthPyTorch
gandharvsuri/Conditional-Generative-model-on-BERT
FrogTravel/PMLDLPyTorch
swastishreya/BERT_as_a_conditional_generative_modelPyTorch
JuanJoseMV/neuraltextgenPyTorch
