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

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

Austrian Artificial Intelligence Podcast
Podcast Episodes
71 - NeoAlp - Humanoide Robotik - Zwischen Dystopie und Euphorie [not-audio_url] [/not-audio_url]

Duration: 1:41:48
Die letzten Jahre ware von Large Language Models dominiert, und für die meisten ist GenAI immer noch der Inbegriff von Fortschritt.Andere denken schon weiter und zielen auf physical AI ab, welche sich darauf spezialisier…
67. Mathias Neumayer and Dima Rubanov - Lora a child friendly AI [not-audio_url] [/not-audio_url]

Duration: 53:10
## SummaryLarge Language Models have many strengths and the frontier of what is possible and what they can be used for, is pushed back on the daily bases. One area in which current LLM's need to improve is how they commu…
66. Taylor Peer - Beat Shaper - A music producers AI Copilot [not-audio_url] [/not-audio_url]

Duration: 52:20
Today on the show I have the pleasure to talk to returning guest, Taylor Peer one of the co-founders of the startup, behind Beat Shaper.Taylor will explain how they are following an Bottom-up approach to create electroni…
65. Daniel Kondor - CSH - The long term impact of AI on society [not-audio_url] [/not-audio_url]

Duration: 1:04:50
Guest in this episode is the Computational Social Scientist Daniel Kondor, Postdoc at the Complexity Science Hub in Vienna.Daniel is talking about research methods that make it possible to study the impact of various fac…
64. Solo - Manuel Pasieka on the hottest LLM topics of 2024 [not-audio_url] [/not-audio_url]

Duration: 59:00
With the last episode in 2024, I dare to release an solo episode, summarizing my christmas research on the topics of - Small Language models - Agentic Systems - Advanced Reasoning / Test time compute paradigm I hope you…