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
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In a few words Interested in what Kairntech does and what it could mean for you but no time to read lengthy papers or watch our video tutorials? Here's a treat for you: Kairntech cheatsheetDownload Get a quick impression of what Kairntech can contribute to your plans to make AI work on your document analysis projects.
A paper on the Kairntech Platform This spring has brought a lot of confusion into many calendars: Many workshops and conferences had to be cancelled, sometimes right at the moment when the paper that was planned to be submitted was ready. For instance I had been looking forward to a few nice days in Marseille … Continue reading Kairntech: An ML Platform and API for the Enrichment of (not only) Scientific Content
Introduction The Kairntech platform goes a long way in order to give the users access to powerful machine learning capabilities wrapped inside an intuitive, easy-to-use GUI. While this is key for allowing non-technical users and domain experts without data science background to use the platform, there is a second approach to working with it: Using … Continue reading How to access the Kairntech API – Introducing a simple python client
NLP and Knowledge Base The broad success of quantitative methods such as deep learning in NLP sometimes risks to downplay the importance of explicit, symbolic knowledge required for many NLP task: Good named entity recognition (NER) for instance not only needs to recognize the entities (where learning based methods are important), but also normalize, disambiguate … Continue reading Named Entity Recognition with Wikidata: Always up to date!
So many ML libraries and algorithms... In the Machine Learning field there is a great wealth of well-studied approaches to various learning problems and users often experience the agony of choice when having to decide for one specific algorithm for a given problem. Algorithms may differ significantly in their runtime behavior, their memory and data … Continue reading Experimenting with ML algorithms… without having to study Python.
Data anonymization under GDPR Since the entry into force in 2018 of the General Data Protection Regulation (GDPR), companies must redouble their vigilance with regard to the dissemination of internal documents containing personal data, whether it is data from employees, customers or any other natural person. Article 35 of the Regulation requires them to produce … Continue reading Kairntech platform, for an efficient anonymization.
Introduction A lot of key processes in today's business world involve the analysis and the processing of textual information. For these processes it is good news that today a wide variety of serious NLP components are available, many of them in the public domain. We'll sketch a scenario for a sample analysis task and how … Continue reading Combining state of the art NLP and AI approaches for document analysis.