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

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