Introduction The Kairntech software comes with a built-in entity extraction component that users can add to their projects with just a few mouse clicks. It offers a powerful additional option to analyse and annotate text content using existing world knowledge: The component gives you access to tens of millions of concepts in several languages and … Continue reading World Knowledge at your Fingertips: Using and Customizing Kairntech’s Entity Extraction
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The emergence of start-ups in the world's economies and the massive arrival of investment funds have shaken up the business world since the 2000s, posing the challenge of information in an acute way. In this prolific and fast-moving world, the personal network and manual databases are no longer enough: new technologies, in particular artificial intelligence, … Continue reading Artificial Intelligence for Mergers & Acquisitions (M&A)
When it comes to organizing or making complex information accessible, or helping researchers or analysts to discover new information, structured vocabularies (lexicons, dictionaries, thesauri, taxonomies, etc.) and, more broadly, knowledge bases, play an important role. But they still need to be constantly updated, which is a long, tedious and difficult task. Legal intelligence is a … Continue reading Discover and enrich knowledge by analysing documents with AI
The European green taxonomies Taxonomy is a word that suddenly appeared with financial investors and the public at large when the European Commission published its own taxonomy on sustainable activities. Let's quickly recall that a taxonomy is a term which originates from biology and that designates the naming in an ordered system that is intended … Continue reading Taxonomy and NLP
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
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
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!
Random check vs Exhaustivity 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 same time society … Continue reading Random check is dead, long live exhaustivity
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
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 with rules-based systems. Examples include Machine Translation (DeepL, Google Translate…) or Speech To Text (Siri…). Information Extraction, a subcategory of NLP, is also highly impacted. What … Continue reading Make the long road to augmented applications shorter by “do-it-yourself NLP”