Let Kairntech support you in your vocabulary maintenance efforts

We have recently shown you how Kairntech can be used to automate parts of the efforts in vocabulary maintenance: Finding new candidate terms for the update and extension of your vocabularies. We have turned that into a video (5min) that explains the process and shows you how to do this using the software. https://www.youtube.com/watch?v=s3Cqzl67Fms

Laissez Kairntech vous aider pour la maintenance de votre vocabulaire métier

Nous vous avons récemment montré comment Kairntech peut être utilisé pour automatiser une partie des efforts de maintenance de vocabulaires métiers : La recherche de nouveaux candidats terme pour la mise à jour et l'extension de vos vocabulaires. Nous en avons fait une vidéo (5min) qui explique le processus et vous montre comment le faire … Continue reading Laissez Kairntech vous aider pour la maintenance de votre vocabulaire métier

Finding new needles in content haystacks: Vocabulary maintenance with AI!

Introduction Structured vocabularies (thesauri, taxonomies...) play an important role in many applications where complex, large and volatile information needs to be organized and made accessible. A fine example is the famous MeSH thesaurus that facilitates search and access on Medical topics. Enriching scientific content with MeSH terms allows to guarantee that content on a specific … Continue reading Finding new needles in content haystacks: Vocabulary maintenance with AI!

Comment enrichir un vocabulaire métier avec l’IA !

Introduction Les vocabulaires structurés (thésaurus, taxonomies...) jouent un rôle important dans de nombreuses applications quand il s’agit d’organiser ou de rendre accessible des informations complexes, volumineuses ou fugaces. Un bon exemple est le célèbre thésaurus MeSH qui facilite la recherche et l'accès à des articles médicaux. L'enrichissement de contenu scientifique avec les termes du MeSH … Continue reading Comment enrichir un vocabulaire métier avec l’IA !

Jumpstart your Machine Learning efforts by importing structured knowledge

Introduction Machine Learning approaches in NLP have been shown to be able to solve a wide range of tasks after being trained from scratch on an appropriate training corpus. While this is impressive, it often does not correspond to the demand in many real-world scenarios. Often relevant prior knowledge exists – in the case of … Continue reading Jumpstart your Machine Learning efforts by importing structured knowledge

Bootstrap World Knowledge to extend Business Vocabulary and enhance Knowledge Graphs

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