[PDF] Top 20 Text Generation using Neural Models
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Text Generation using Neural Models
... for text generation. There has been great result using LSTM and ...for neural machine translation and text generation given an input ...a neural network to learn ... See full document
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Globally Coherent Text Generation with Neural Checklist Models
... checklist models outperform all base- lines in generating recipes that follow the provided agenda closely and accomplish the desired goal, where NN in particular often generates the wrong ...the neural ... See full document
11
Enhancing Neural Data To Text Generation Models with External Background Knowledge
... Recent neural models for data-to-text genera- tion rely on massive parallel pairs of data and text to learn the writing ...enhance neural data-to- text models with ... See full document
11
Neural Text Generation from Rich Semantic Representations
... propose neural models to generate high-quality text from structured representa- tions based on Minimal Recursion Semantics ...English text can achieve a BLEU score of ...further using a ... See full document
8
Neural Text Generation in Stories Using Entity Representations as Context
... generated text for stories, and where our model supports that and where it ...selected text segments from the test set described in § ...The models had access to the same sub- set of the context that ... See full document
11
Semi Supervised Neural Text Generation by Joint Learning of Natural Language Generation and Natural Language Understanding Models
... by using an NLG and an NLU ...input text is fed to the NLU model which in turn feeds the NLG ...the models to respect the for- mat of the task (here MR and abstract text); 2) the architecture ... See full document
11
Structural Neural Encoders for AMR to text Generation
... other models are capable of handling these structures ...of models to capture ...graph models will be more evident for those examples containing more ...example, using the Meteor score as a ... See full document
10
Generation of Company descriptions using concept to text and text to text deep models: dataset collection and systems evaluation
... feed-forward neural network jointly trained with the rest of the archi- ...all neural models in neural ma- chine translation, text summarization, ... See full document
10
Discourse Aware Neural Rewards for Coherent Text Generation
... evaluate using automatic overlap metrics that measure discourse ...produces text that is more coherent and less repetitive than models trained with cross-entropy or reinforcement learn- ing with ... See full document
12
Towards Automatic Generation of Shareable Synthetic Clinical Notes Using Neural Language Models
... full text of the discharge summary notes from the NOTEEVENTS table available from ...the text includes arbi- trary line splits, presumably for formatting rea- sons, we merged lines and then performed sen- ... See full document
11
Neural AMR: Sequence to Sequence Models for Parsing and Generation
... Sequence-to-sequence models have shown strong performance across a broad range of ...generating text using Abstract Meaning Representation (AMR) has been limited, due to the relatively lim- ited ... See full document
12
An Encoder with non Sequential Dependency for Neural Data to Text Generation
... both models under different shuffling noise are more stable than RnnEnc ...that using order invariant en- coding SelfAtt is stable and suitable for table ... See full document
6
On the Use of Neural Text Generation for the Task of Optical Character Recognition
... used text prediction, the obtained improvement in OCR accuracy is quite ...results using word level and character level language models also resulted in increasing the number of files falling in ... See full document
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On the use of neural text generation for the task of optical character recognition.
... used text prediction, the obtained improvement in OCR accuracy is quite ...results using word level and character level language models also resulted in increasing the number of files falling in ... See full document
9
Classification with Multiple Classes using Naïve Bayes and Text Generation with a Small Data Set using a Recurrent Neural Network
... for text and online handwriting - where the focus is on handwriting in ...cases, text prediction, or language modelling, is formed at the word ...word-level models are not applicable to text ... See full document
51
Portuguese text generation using factored language models
... second, as future work we intend to reuse the same models in the generation of newspapers sentences in general, and not only headlines. Our Input data set was built as follows. First, the cor- pus was ... See full document
12
Machine Comprehension by Text to Text Neural Question Generation
... This, along with the improvements in BLEU, F1 and QA, suggests that our system learns a more powerful conditional model at the expense of ac- curately modelling the marginal distribution over questions. It is likely ... See full document
11
Exploring Neural Text Simplification Models
... the models learn good word representations, either during the model training or through word2vec, in order to accurately create alignments between source and target ... See full document
7
Differentiated Distribution Recovery for Neural Text Generation
... language models based on recurrent neural networks (RNNLM) have significantly improved the performance for text generation, yet the quality of generated text represented by Turing Test ... See full document
8
Handwritten Tifinagh Text Recognition using Neural Networks and Hidden Markov Models
... 3.1 Character writing In pattern recognition system two modes of writing are used: static mode for previously written characters and dynamic mode for recognizing handwritten characters being written. In this project, we ... See full document
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