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 as part of their … Continue reading Kairntech and “Smart Innovation”
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
Introduction Named Entity Recognition relates to the extraction of sequences of words from within a document. The technique is mostly used to extract names of people, organisations or places, which are therefore the most typical named entities. However, the term named entity recognition does not capture very well the importance of a fragment of text, … Continue reading Extracting Numbers from Text
Introduction Information extraction tends to target two situations: Extract entities from an existing vocabulary, or Create an extraction model from scratch when there is no existing vocabulary. However, sometimes the situation is a mixture of the two extremes: an incomplete business vocabulary exists but needs to be completed with relevant additional entities of the same type. … Continue reading Bootstrap World Knowledge to extend Business Vocabulary and enhance Knowledge Graphs
Introduction Les descriptions des approches d'extraction d'informations semblent souvent classer les exigences dans l'une des deux situations suivantes : soit des entités d'un vocabulaire existant doivent être extraites,soit des entités qui ne sont pas associées à un vocabulaire existant doivent être traitées, auquel cas un nouveau modèle doit être créé à partir de zéro. Mais … Continue reading Initiez rapidement votre modèle d’apprentissage avec Wikidata et fournissez des candidats pour étendre votre vocabulaire métier.
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