Distilling Knowledge Learned in BERT for Text Generation - Yen
for better text generation which is still a relatively unexplored territory. els
Biomedical Data-to-Text Generation via Fine-Tuning Transformers
24 Sept 2021 proved the quality of short text generation (usu- ally one sentence long) from input data ... learning rate of 0.001 batch size of 32
Evaluation of Text Generation: A Survey
18 May 2021 text generator is to involve humans as judges. Naive or expert subjects are asked to rate or compare texts generated by different NLG ...
Li
text generation yet the quality of generated text represented by Turing Test pass rate is still far from satisfying. Some re-.
Handling Rare Items in Data-to-Text Generation
5 Nov 2018 The encoder and decoder both have two layers. Models were trained for 13 epochs with a mini-batch size of. 64
Multi-lingual text generation and the Meaning-Text Theory
We describe multi-lingual text generation as an alternative to automatic translation with a relatively high success rate the occurrence of occasional ...
CogVideo: Large-scale Pretraining for Text-to-Video Generation via
29 May 2022 The frame rate token also controls the intensity of the changes throughout continuous frames in generation. Specifically we train a sequential ...
Refining Data for Text Generation
Recent work on data-to-text generation has made progress under the neural encoder-decoder architectures. generator with a learning rate of 0.01.
Text Generation from Discourse Representation Structures
It is not uncommon for text generation systems erate high-quality text from semantic representa- tions based on Discourse ... learning rate decay.
Kernelized Bayesian Softmax for Text Generation
Neural models for text generation require a softmax layer with proper For MT and Dialog the initial learning rate is 5e-4 and the decay rate is 0.5.
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