Collaborative AI aims at developing systems where humans and artificial systems work together. Can this method help terminologists to turn existing yet still flat terminology lists into a structured concept system?
In a research study with EU IATE we compared a pure manual approach against semi-automatic concept map creation. We prove that the efficiency increase makes the taxonomization of even large terminology databases feasible.
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How can Collaborative AI help for the speedy creation of concept maps? What AI / machine learning algorithms help to draft maps? What are the strengths and weaknesses in time, approach, quality?
Begriffsorientierte Terminologiemethodik; Wert und Nutzen von Begriffssystemen / Wissensgraphen
Managing Director of Coreon GmbH, with a focus on merging concept-oriented terminology management, taxonomy and ontology products. Before, Michael was product managing TRADOS / SDL MultiTerm. His background is in Computational Linguistics. Active contributor in ISO TC37 to drive TBX forward.