Kairntech Question&Answer allows you to interact in natural language with your own content. Finding answers specific question in complex documents or large collections of documents can be a cumbersome effort, despite powerful search engine technologies: Often users find themselves trying different combinations of AND and OR and exact phrase searches and so on. Still they … Continue reading You have questions? Make your documents answer to you!
As reported here, Kairntech has been working together with Fraunhofer SCAI to generate Knowledge Graphs by automatic relation extraction from scientific content. The output is this project was BEL, a graph language, specifically designed for the expression of biomedical facts. Another popular format to express, store and exchange Knowledge Graphs evidently is Neo4J's Cypher: Kairntech … Continue reading Public Neo4J demo with Kairntech-powered content
Kairntech and "Smart Innovation" Managing the processes that enable, organise and foster innovation in organisations often involves among other things analysing large amounts of text based-information: Publications, news, websites. Evidently this is another use case where Kairntech can contribute and therefore experts at University of Stuttgart, the Fraunhofer institute IAO and TecIntelli are using Kairntech … Continue reading NLP Support for Corporate Innovation Management Processes
Transformers: the new trend in Artificial Intelligence and NLP Recent progress in NLP (Natural Language Processing) technologies highlights its strong potential for business transformation. While the domain used to be dominated by big players such as Google or Microsoft, smaller organizations are now going mainstream with the collaborative, open source approaches such as Explosion.ai (Spacy) … Continue reading From Hugging Face Transformers to NLP-Powered Applications
AI no-code NLP platforms change the paradigm In many professions controls are carried out on a random basis. It is a generally accepted practice that an auditor reviewing agreements or an analyst screening litterature proceeds with random checks simply because it is humanly impossible and much too costly to process each individual document. At the … Continue reading Random checks are dead, long live exhaustivity
Introduction Natural language processing (NLP) techniques have made tremendous progress during the last couple of years, thanks notably to algorithms such as Neural Networks which have surpassed traditional approaches using rule-based systems. Examples include Machine Translation (DeepL, Google Translate…) or Speech To Text (Siri…). Information extraction, Text classification, Automatic summarization, Q&A Subcategories of NLP like … Continue reading Make the long road to augmented applications shorter by “do-it-yourself NLP”
Direct customer feedback In a highly competitive environment, knowing customer complaints and expectations has become a major challenge for all companies. Direct customer feedback has become an increasingly important contributor since the emergence of the Internet. Whether it be results from a speech recording converted into text, a comment from a marketing survey, an incoming … Continue reading Make the Voice of the Customer a Top Priority!
Data Annotation & Active Learning We all heard that "data is the new oil". However, just like its petroleum predecessor, data is of no use until it is processed. One processing step that is often required for unstructured data (e.g. text, images, audio and video files) is data annotation. This is done manually, can require … Continue reading Kairntech & Scaleway Webinar: Thursday, Dec 17, 2020 @ 5:30pm
Introduction We will focus here on the investigation and verification part, which is undoubtedly one of the most important but also one of the most time-consuming for the auditors. However, it is essential to guarantee the sincerity of a company's accounts. This part already has powerful analysis tools for all structured data (mainly numerical numbers). … Continue reading Contract Analysis to Assist the Auditor
Do you know this situation: You have loads of documents to categorize, no training corpus......and you don't want to ask the experts to build a categorizer for you? Our quick tutorial explains how you can do it on your own: Train your own machine learning model without having to start programming.Download The machines should adapt … Continue reading Quick tutorial: Easy document categorization with Kairntech