The "Awesome Natural Language Generation" project is a curated collection of resources focused on Natural Language Generation (NLG), a subfield of artificial intelligence that involves the automatic generation of human-like text from structured data. This list encompasses a variety of categories, including libraries, frameworks, research papers, tools, and tutorials that facilitate the development of NLG applications. It is beneficial for developers, researchers, and data scientists looking to enhance their understanding and implementation of NLG techniques in projects such as chatbots, report generation, and content creation. Users can explore innovative solutions and gain insights into the latest advancements in the field of Natural Language Generation.
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The "Awesome NLP with Ruby" project is a curated collection of resources focused on natural language processing (NLP) using the Ruby programming language. This list encompasses a variety of libraries, tools, tutorials, and community resources that facilitate the implementation of NLP tasks such as text analysis, sentiment detection, and language modeling. It is designed to benefit both beginners and experienced developers who are interested in leveraging Ruby for NLP applications. By providing a comprehensive set of resources, this project empowers users to explore the capabilities of NLP in Ruby and enhance their projects with advanced language processing features.
The "Awesome Question Answering" project is a curated collection of resources focused on the field of question answering (QA) in natural language processing (NLP). Question answering involves creating systems that can understand and respond to user queries in human language. This list encompasses a variety of resources including datasets, algorithms, frameworks, tutorials, and research papers, catering to both beginners and experienced practitioners in the field. Researchers, developers, and students can benefit from this compilation by gaining insights into the latest advancements and tools available for building effective QA systems. Dive into this collection to enhance your understanding and capabilities in natural language question answering.
The "Awesome Spanish" project is a curated collection of resources aimed at supporting learners and speakers of the Spanish language. Spanish is a Romance language that is widely spoken across the globe, particularly in Spain and Latin America. This list includes language learning apps, online courses, grammar guides, vocabulary resources, cultural insights, and community forums, making it a valuable tool for beginners and advanced learners alike. Whether you're looking to improve your conversational skills, understand grammar nuances, or explore Spanish-speaking cultures, this collection offers a wealth of information to enhance your language journey.
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 large-scale multi-domain dataset of over 20k annotated task-oriented dialogues for training and evaluating virtual assistants.
Generate datasets for AI chatbots, NLP tasks, NER, and text classification using a simple domain-specific language.
An open-source toolkit for building end-to-end trainable task-oriented dialogue models with neural networks.
A flexible Python framework for developing, training, and evaluating conversational AI agents in single or multi-agent environments.
An open-source benchmark toolkit for Natural Language Generation in spoken dialogue systems, featuring multiple RNN-based models and datasets.
A statistical natural language generator for spoken dialogue systems, supporting both A*-search and seq2seq algorithms.
A transfer learning-based evaluation metric for Natural Language Generation that scores text fluency and meaning.
A command-line tool for holistic comparison and error analysis of language generation systems like machine translation and summarization.
A Python library for evaluating natural language generation models using multiple unsupervised automated metrics.
A Python toolkit for visual analysis and evaluation of text generation tasks like translation, summarization, and captioning.
A Java library for parsing and generating text using combinatory categorial grammar and hybrid logic dependency semantics.
A CCG parser implementing all combinators with parsing to logical form and parameter estimation for probabilistic CCG.
A .NET library that converts cron expressions into human-readable descriptions in multiple languages.
Convert numbers to approximated text expressions like 'less than a quarter' for natural numbers, percentages, and fractions in multiple languages.