Harnessing the power of Artificial Intelligence, search and Machine Learning technologies
Machine Reading Comprehension [MRC]
Gather information from text
Machine Reading Comprehension is the ability for computers to read and understand unstructured text and then answer questions about it.
Natural Language Understanding [NLU]
From meaning to actionable data
Natural Language Understanding breaks inputs made in the form of sentences into a structured ontology that goes beyond understanding words.
Understand context and meaning
Understand the user's intent instead of keyword matching alone. Topics and concepts can be linked and related information can be suggested.
Machines find patterns from big data
Deep Learning is a subset of machine learning where artificial neural networks, algorithms inspired by the human brain, learn from large amounts of data to perform complex tasks based on patterns.
Multiple ways to ask
Paraphrasing allows search results to include, not directly returned using words in the query. It recognises that there may be multiple ways to ask a question, that all refer to the same answer.
Question Answering [QA]
Direct answer to questions
Question and Answering (QA) uses a combination of language manipulation and search techniques to offer a direct answer to questions posed by humans in a natural language. It can address either Closed Domain (topic-specific) questions.
Keyword-based Search Engine
Information Retrieval allows for data, in various forms, to be organised for easy access and indexed for quick retrieval. Search decides what content, and in what form you see whenever you enter a query.
Natural Language Processing [NLP]
Human wording to machine language
Natural Language Processing enables human-computer interaction by extracting key data to infer meaning and purpose.