‘Natural Language Understanding and AritficiaI Intelligence’, Gastvortrag von Dr. Kruchinina, 10. Juli 2017

Die Sprachliche Informationsverarbeitung lädt zu einem Gastvortrag von Dr. Ekaterina Kruchinina (Nuance) mit dem Titel “Nuance NLU and AI Research. Driving Innovations” ein. Der Vortrag wird am kommenden Montag, 10. Juli 2017, im PC-Pool (Raum 72) im Philosophicum stattfinden.


Speech Recognition, Biometrics, Text-To-Speech, Natural Language Understanding and AI are key research areas to redefine the relationship between people and technology. Nuance’s Research team is working on all of these in order to develop a more human conversation with technology. This talk will highlight a few current research topics and trends in the company. Automotive solutions in cars on the road today and others that will come out in the next few years will be used to illustrate how achievements in Natural Language Understanding and AI help to create the next generation of digital assistants.

Speaker: Dr. Ekaterina Kruchinina, NLP Research Manager at Nuance Communications

Ekaterina Kruchinina is a Research Manager in the Natural Language Understanding department at Nuance. Her principal research responsibilities are in NLU, machine learning, corpus annotation and evaluation of NLU systems. Ekaterina joined Nuance as a Senior Research Scientist in 2012. Before joining Nuance, she worked as a research associate at the JulieLab at the Friedrich-Schiller-University of Jena.  She received her Phd supervised by Prof. Dr. Udo Hahn (Friedrich-Schiller-University Jena)  and  Prof. Ted Briscoe (University of Cambridge) with a dissertation titled “Event Extraction from Biomedical Texts Using Trimmed Dependency Graphs” in 2012.  Ekaterina developed the relation extraction system JReX that was ranked second during the BioNLP 2009 Shared Task on Event Extraction (at NAACL-HLT 2009). Ekaterina has 12 years of academic and industry experience, leadership in development and application of cutting edge technology in NLP solutions for intelligent human-machine interfaces. Ekaterina speaks Russian, German, English and French. Ekaterina’s work has been featured in the article „Die Computerversteherin. Ein Job an der Schnittstelle von Mensch und Maschine“, c’t 04/2017.