Join us in this episode of the D4 Data Podcast as we delve into the topic of "Grounded Language Understanding" with guest speaker Tamara Atanasoska. Tamara, a researcher in the field of natural language processing and cognitive science, shares her knowledge on the basics of grounded language learning, the cognitive and linguistic foundations for NLP tools, and the challenges in textual analysis. She also delves into the methodology behind embodied AI and her research on multimodal dialogue in game settings.
Tamara also discusses the challenges in data preparation, the differences between research and industrial sectors, code reproducibility, and scalability in terms of domain-centric requirements. Furthermore, she covers the current research landscape, ethics, and fairness in NLP research, and the importance of embedding cognitive science techniques and linguistics. Don't forget to check out Tamara's blog for more information and her aspirations for the future of NLP research. Tune in now!
Tamara's Blog: https://www.holophrase.de/
Tamara has been working for over 10 years in civic-tech and music-tech as a software engineer and developer relations. After dreaming about it for a long time, she has recently shifted to the intersection of (natural) language and technology. Tamara is doing NLP research as part of the Cognitive Systems Masters at the University of Potsdam and plans to continue to do academic research after finishing the program soon.
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