Search Results for "natural and language and understanding"
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Showing 10 open source projects for "natural and language and understanding"
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HubSpot is an AI-powered customer platform with all the software, integrations, and resources you need to connect your marketing, sales, and customer service. HubSpot's connected platform enables you to grow your business faster by focusing on what matters most: your customers.
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Ruby
Ruby programming language
A dynamic, open source programming language with a focus on simplicity and productivity. It has an elegant syntax that is natural to read and easy to write. Ruby is a language of careful balance. Its creator, Yukihiro “Matz” Matsumoto, blended parts of his favorite languages (Perl, Smalltalk, Eiffel, Ada, and Lisp) to form a new language that balanced functional programming with imperative programming. He has often said that he is “trying to make Ruby natural, not simple,” in a way that mirrors... -
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Crystal
The crystal programming language
Crystal’s syntax is heavily inspired by Ruby’s, so it feels natural to read and easy to write, and has the added benefit of a lower learning curve for experienced Ruby devs. Crystal is statically type checked, so any type errors will be caught early by the compiler rather than fail on runtime. Moreover, and to keep the language clean, Crystal has built-in type inference, so most type annotations are unneeded. All types are non-nilable in Crystal, and nilable variables are represented as a union... -
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SPyQL
Query data on the command line with SQL-like SELECTs powered by Python
SQL with Python in the middle. SPyQL is a query language that combines the simplicity and structure of SQL with the power and readability of Python. SPyQL offers a command-line interface that allows running SPyQL queries on top of text data (e.g. CSV, JSON). Data can come from files but also from data streams, such as as Kafka, or from databases such as PostgreSQL. Basically, data can come from any command that outputs text :-). More, data can be generated by a Python expression! And since... -
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heml
HEML is an open source markup language for building responsive email
... elements and style rules. Share them with the world, or keep em to yourself. Your choice. Email is hard. With dozens of popular email clients, each of which has its own quirks, it can be overwhelming to build an email that looks good and works well. Add in the challenge of getting your email to the inbox quickly, and it's enough to make anyone give up. HEML is a XML-based markup language designed for building emails. The goal is to make building emails feel as natural as building websites. -
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WikiSQL
A large annotated semantic parsing corpus for developing NL interfaces
A large crowd-sourced dataset for developing natural language interfaces for relational databases. WikiSQL is the dataset released along with our work Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning. Regarding tokenization and Stanza, when WikiSQL was written 3-years ago, it relied on Stanza, a CoreNLP python wrapper that has since been deprecated. If you'd still like to use the tokenizer, please use the docker image. We do not anticipate switching... -
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ROO is an (OWL) ontology construction tool based on Protégé 4. ROO makes the ontology building process easier as it provides guidance about the steps involved and it allows to enter knowledge using an easy to learn controlled natural language.
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SpatialML is a markup language for representing spatial expressions in natural language documents. The goal is to allow for better integration of text collections with resources such as databases that provide spatial information about a domain.
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XAIRA (XML Aware Indexing and Retrieval Architecture) supports indexing and analysis of large XML textual resources such as natural language corpora.
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KML is a knowledge base with support of logical modeling. Advanced model is used to represent knowledge as a set of statements similar to natural language sentences. This project hosts a set of model storage library and server (vrb-ols) and clients.
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We design our technology to make workforce management easier. APS offers core HR, payroll, benefits administration, attendance, recruiting, employee onboarding, and more.
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Cathnet is developing the infrastructure for the Catholic Semantic Web. Technologies involved include, but are not limited to, XML, RDF, NLP, Zope, Plone and Plone products.
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