10. Linda Anderson - Artificial Researcher: On the history and challenges of domain specific text mining

10. Linda Anderson - Artificial Researcher: On the history and challenges of domain specific text mining

Author: Manuel Pasieka June 25, 2021 Duration: 1:35:13
Austrian Artificial Intelligence Podcast
Technology

Summary

In this episode, Linda Anderson a computational Linguistic by training and founder of the AI startup "Artificial Researcher" is talking about the history and challenges of domain specific text mining.

We are discussing why many of the typical DL driven approaches fail on domain specific text mining applications and how her company "Artificial Researcher" is coping with those challenges.

References

  • Linda Anderson : https://www.linkedin.com/in/linda-andersson-76483916/
  • Linda Anderson (TU Wien) http://ifs.tuwien.ac.at/~andersson/
  • Artificial Researcher : https://www.artificialresearcher.com/
  • Adversarial Examples in NLP : https://towardsdatascience.com/what-are-adversarial-examples-in-nlp-f928c574478e
  • D. Biber. Representativeness in corpus design. Literary and linguistic computing, 8(4):243–257, 1993
  • K. Erk. What do you know about an alligator when you know the company it keeps? Semantics and Pragmatics, 9(17):1–63, April 2016.
  • J.R. Firth. A synopsis of linguistic theory 1930-1955. Studies in linguistic analysis, pages 1–32, 1957
  • E. Keizer. The English Noun Phrase: The Nature of Linguistic Categorization. Studies in English Language. Cambridge University Press, 2007
  • G. Zipf. Human Behaviour and the Principle of Least-Effort. Addison Wesley, Cambridge, MA, 1949
  • C. K. Schultz, (editor) H. P. Luhn: pioneer of information science, selected works, New York, Spartan Books, 1968

Hosted by Manuel Pasieka, the Austrian Artificial Intelligence Podcast offers a grounded, local perspective on a global phenomenon. Instead of abstract theorizing, each conversation focuses on the tangible impact and practical applications of AI within Austria's unique ecosystem. You'll hear from a diverse range of guests-researchers, entrepreneurs, policymakers, and creatives-who are actively shaping this landscape, discussing both the remarkable opportunities and the nuanced challenges specific to the region. The discussions delve into how these technologies are being integrated into Austrian industry, academia, and society, moving beyond hype to examine real-world implementation and ethical considerations. This podcast serves as an essential audio forum for anyone in Austria, or with an interest in the European tech scene, looking to understand how artificial intelligence is evolving right here. It’s about the people behind the algorithms and the local stories within a global revolution. For those engaged with the content, questions and suggestions are always welcome at the provided email address.
Author: Language: English Episodes: 73

Official website RSS
spotify
Austrian Artificial Intelligence Podcast
Podcast Episodes
12. Rania Wazir: On AI4Good and how to shape future AI regulations [not-audio_url] [/not-audio_url]

Duration: 51:24
Summary Rania has a background in theoretical mathematics and has focused her work in recent years as a Data Scientists on natural language understanding and social media monitoring. Today on the show she will share her…
9. Frank Benda: Teaching ML from programming to company strategy [not-audio_url] [/not-audio_url]

Duration: 59:40
In this episode, Frank is sharing his experience in teaching about AI over the years at different institutions to students from all backgrounds, ranging from businesses focused questions about digitalisation to CEO's, or…
8. Sanja Jovanovic: On AI services in azure and women in AI [not-audio_url] [/not-audio_url]

Duration: 49:56
What kind of AI related services does azure cloud offer? What are some common reasons companies move into the cloud, and what are common first mistakes that companies encounter? If those are questions that interest you,…
7. Tanja Zinkl: On hiring for an AI Startup [not-audio_url] [/not-audio_url]

Duration: 45:55
What are the challenges hiring for an AI startups? How do you hire today, but be prepared for continously changing requirements of tomorrow? Or how do you convince the HR department of your talent and motivation? If thos…
5. Lukas Fischer: On the Software Competence Center Hagenberg (SCCH) [not-audio_url] [/not-audio_url]

Duration: 1:05:44
The field of AI and Machine learning is moving with an ever increasing pace, and for most small and medium companies that cannot afford their own research labs, keeping up new scientific papers and software frameworks is…

«1...345678»