Questions tagged [text-generation]
The text-generation tag has no usage guidance.
14
questions
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1answer
26 views
What would be the state of the art image captioning deep learning model?
I saw a couple of architectures, like CNN-LSTM, with and without attention model, use of Glove vector, self-critical models, etc. I am overwhelmed looking at different notebooks and architectures, ...
2
votes
0answers
76 views
T5 or BERT for sentence correction/generation task?
I have sentences with some grammatical errors , with no punctuations and digits written in words... something like below:
As you can observe, a proper noun , winston isnt highlighted with capital in ...
0
votes
1answer
97 views
Are there any good alternatives to an LSTM language model for text generation?
I have a trained LSTM language model and want to use it to generate text. The standard approach for this seems to be:
Apply softmax function
Take a weighted random choice to determine the next word
...
0
votes
1answer
57 views
Making generated texts from “data-to-text” more variable
I am diving in data-to-text generation for long articles (> 1000 words). After creating a template and fill it with data I am currently going down on paragraph level and adding different paragraphs,...
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0answers
66 views
Transformer Language Model generating meaningless text
I currently learning on Transformers, so check my understanding I tried implementing a small transformer-based language model and compare it to RNN based language model. Here's the code for ...
3
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0answers
29 views
Is there a complement to GPT/2/3 that can be trained using supervised learning methods?
This is a bit of a soft question, not sure if it's on topic, please let me know how I can improve it if it doesn't meet the criteria for the site.
GPT models are unsupervised in nature and are (from ...
1
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0answers
24 views
Is the number of bidirectional LSTMs in seq2seq model equal to the maximum length of input text/characters?
I'm confused about this aspect of RNNs while trying to learn how seq2seq encoder-decoder works at https://machinelearningmastery.com/configure-encoder-decoder-model-neural-machine-translation/.
It ...
1
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0answers
50 views
Importance sampling eq. 5 in paper “Residual Energy-based Models for Text Generation”
In the paper "Residual Energy-Based Models for Text Generation" (arXiv), on page 5, they write that equation 5 is an instance of importance sampling.
Equation 5 is:
$$ P(x_t \mid x_{<t}) = P_{LM}(...
1
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0answers
70 views
How can I use GPT-2 to modify seed text of one form into a different form (LENGTH INVARIANT) whilst retaining meaning?
I am currently starting a research project whereby I am trying to convert text of one form into another.
i.e. If I were to write a seed sentance of the form "Scientists have finally achieved the ...
2
votes
0answers
31 views
How should I design a reward function for a NLP problem where two models interoperate?
I would like to design a reward function. I am training two models from the first model that classify set of texts (paragraphs and keywords) and I also got some hidden states. The second model is ...
2
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0answers
95 views
Pretrained Models for Keyword-Based Text Generation
I'm looking for an implementation that allows me to generate text based on a pre-trained model (e.g. GPT-2).
An example would be gpt-2-keyword-generation (click here for demo). As the author notes, ...
2
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0answers
23 views
How to tell if two hotel reviews addressing the same thing
I am playing with a large dataset of hotel reviews, which contains both positive and negative reviews (the reviews are labeled). I want to use this dataset to perform textual style transfer - given a ...
3
votes
2answers
251 views
How to use LSTM to generate a paragraph
A LSTM model can be trained to generate text sequences by feeding the first word. After feeding the first word, the model will generate a sequence of words (a sentence). Feed the first word to get the ...
20
votes
4answers
23k views
Can BERT be used for sentence generating tasks?
I am a new learner in NLP. I am interested in the sentence generating task. As far as I am concerned, one state-of-the-art method is the CharRNN, which uses RNN to generate a sequence of words.
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