Category: Articles
Document categorization and Entity Extraction: These NLP veterans are as relevant as ever
The Importance of Traditional NLP Use Cases: Document categorization and entity extraction NLP is booming. The pace of progress is impressive, the recognition of the field and what it has to offer is solid throughout the industry. Significant progress on issues that a few years ago where notoriously difficult to tackle: Question answering, natural language
ROI of NLP platforms
Why natural language processing (NLP) platforms save over 80% of your time Impressive recent progress in Natural Language Processing (NLP) models, for a large majority coming from the open sourced community, do not necessarily go hand in hand with delivering business value for domain experts. ROI of NLP platforms are judged by the requirement to
Text classification and categorization
Classify unstructured document collections Assigning documents to categories is a key step in bringing structure to larger document collections. Users can narrow their study of a search result to a particularly relevant topic or forward subsets of documents to colleagues with a respective interests. Kairntech has offered text classification since the beginning. However, document categorization
Automatic Text Summarization
Keep it short, please! A growing demand in today’s busy times for many users is to be able to quickly skim through large amounts of documents – news items, websites, publications, documentation – and decide quickly, whether a given item is worth spending the time to read or even just to click on it. Often
Automatic knowledge graph creation from scientific Literature
Kairntech and Fraunhofer SCAI presented joint work on knowledge graph creation during a webinar on June 8, 2022 You can find the recording of the webinar here. Harvesting the knowledge about the interactions between genes, proteins, drugs and diseases from scientific literature is a labor-intensive task. Knowledge graph databases are a powerful tool to allow
World Knowledge at your Fingertips: Using and Customizing Kairntech’s Entity Extraction
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
Artificial Intelligence for Mergers & Acquisitions (M&A)
Introduction 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
Discover and enrich knowledge by analysing documents with AI
Updating structured vocabularies: a necessary but difficult task Structured vocabularies (lexicons, dictionaries, thesauri, taxonomies…) and, more broadly, knowledge bases, play an important role in many applications when it comes to organizing or making information accessible. But they still need to be constantly updated, which is a long, tedious and difficult task. A good example is
NLP Support for Corporate Innovation Management Processes
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
Taxonomy and NLP
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