Natural Language Generation
Showing 23 of 23 projects
Efficient image captioning code in Torch, using a CNN-RNN model to generate captions for images, optimized for GPU training.
A Neovim plugin that integrates OpenAI's ChatGPT API for natural language generation and coding assistance directly within the editor.
A Python library for evaluating natural language generation models using multiple unsupervised automated metrics.
A method to steer topic and attributes of GPT-2 language models without fine-tuning, enabling controlled text generation.
An open-source study on neural question generation using transformers, providing simplified training and inference pipelines.
A GPT-2 variant that generates plausible fake words, definitions, and usage examples from scratch.
A Java API for Natural Language Generation that handles morphological realization, text generation, and basic aggregation.
A no-code natural language generation platform that transforms structured data into varied textual descriptions.
A transfer learning-based evaluation metric for Natural Language Generation that scores text fluency and meaning.
An open-source benchmark toolkit for Natural Language Generation in spoken dialogue systems, featuring multiple RNN-based models and datasets.
A curated list of resources dedicated to Natural Language Generation (NLG), including datasets, libraries, tools, and research.
A curated list of resources dedicated to Natural Language Generation (NLG), including datasets, libraries, tools, and research.
An AI system that incrementally generates scientific paper drafts by predicting links between concepts and generating text sections.
A Python toolkit for visual analysis and evaluation of text generation tasks like translation, summarization, and captioning.
An open-source toolkit for building end-to-end trainable task-oriented dialogue models with neural networks.
A statistical natural language generator for spoken dialogue systems, supporting both A*-search and seq2seq algorithms.
Convert numbers to approximated text expressions like 'less than a quarter' for natural numbers, percentages, and fractions in multiple languages.
A TensorFlow implementation of neural text generation from structured data, converting tabular information into natural language summaries.
A PyTorch implementation combining Graph Convolutional Networks with OpenNMT-py for structured data to text generation.
A dataset of NBA game summaries aligned with box- and line-scores for data-to-text generation research.
An enriched dataset for Natural Language Generation research, providing intermediate representations for pipeline tasks like lexicalization and aggregation.
A JavaScript-based natural language generation system that creates random, grammatically correct short stories.
A natural language generation language for creating training data for intent parsing systems.
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