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San Francisco, United States
Plasticity makes simple, powerful natural language processing technology open and accessible to companies, organizations, and developers. Since 2016, Plasticity has provided hundreds of companies and thousands of developers with NLP tools and solutions. Today, these include custom solutions for monitoring social media and news, grouping and analyzing documents, search, and structuring unstructured information. We also provide the underlying NLP technology powering these solutions as APIs for developers, including the Sapien Language Engine for low-level NLP tasks and the Cortex Knowledge Graph for information about the real world. In 2020, Plasticity was acquired by Executive 1 Holding Company to further our mission of providing customers with state-of-the-art NLP technology.
Plasticity · Natural Language Processing APIs
... Use our API to handle tokenization, parts of speech tagging, dependency parsing, relation extraction, named entity recognition, and more. ...
Palo Alto, United States
Chatbot vs Ai bot: Compare the two automated self-service methods. We impact Lives and Experiences with Customer Support Agents. We have extensive enterprise experience developing and implementing technology & processes to drive transformation and operational efficiencies. After years of optimizing the supply chain, innovating new products, and improving the customer experience for OEMs, we discovered an efficient way to transform Support processes. We can extend the same lean manufacturing principles to deliver Just-In-Time support by turning data into actions and that too without our customers needing to employ complex programming or data scientists.
Technology | Ascendo | Modern Support Experience
... This part of understanding involves a number of parallel operations like sentence dependency parsing, word tokenization, part-of-speech tagging and more. ...
Dependency Parsing is a process of analyzing a sentence to identify the dependencies between its various components, such as nouns, verbs, and modifiers. The aim is to represent these relationships in a way that reveals the underlying grammatical structure of the sentence. Dependency Parsing is one of the most widely used natural language processing techniques.