This paper targets the automated extraction of components of argumentative information and their relations from natural language text. Moreover, we address a current lack of systems to provide complete argumentative structure from arbitrary natural language text for general usage. We present an argument mining pipeline as a universally applicable approach for transforming German and English language texts to graph-based argument representations. We also introduce new methods for evaluating the results based on existing benchmark argument structures. Our results show that the generated argument graphs can be beneficial to detect new connections between different statements of an argumentative text. Our pipeline implementation is publicly available on GitHub.

I implemented a Softmax Regression classifier using batch gradient descent and early stopping using just NumPy. I tried to follow Scikit-learn's interface approach where possible, with 2 methods available to the user: fit and predict, with options for various levels of regularization and various learning parameters (such as the step size). The ReadMe explains how to use it properly, and the Jupyter notebook demonstrates how to make predictions with it. Let me know what you think and if you've any feedback please share it, thanks:)

Here are five things in technology that happened this past week and how they affect your business. This past week it was announced that Microsoft has let go several journalists and instead will be implementing AI (Artificial Intelligence) that has the ability to perform those same jobs. Nearly 30 journalists were given a month's notice following Microsoft's decision to no longer employ people who would research, edit, and choose the various news articles for one of their pages. While the individuals who worked on the site run by Microsoft did not write the stories they were curating, they did edit and pick stories from other news outlets and occasionally edit headlines and material when needed. My firm implements some Microsoft products.

The World Post Pandemic: How surveillance and weapon systems, used unwisely, can harm humanity! Mark Twain once wrote "against the assault of laughter nothing can stand." Ethics In Technology is planning to put Mark Twain's statement to the test about the military-industrial complex and the surveillance state. Join us for a night of thought-provoking presentations followed by some wonderful comedy. The show is hosted by nonprofit organization Ethics in Technology, a nonprofit watchdog group advocating for a world where big tech firms and technology work to serve humanity and the planet, rather than the other way around.

Shares of the artificial intelligence (AI) leader have started June on a slow note, however, gaining just 0.4% this week.

Trusted Business Insights presents an updated and Latest Study on Mobile Artificial Intelligence Market 2019-2026.

Frank Herbert's classic science fiction novel Dune, first published in 1965, is still extremely influential. "I was worried," Kressel says in Episode 417 of the Geek's Guide to the Galaxy podcast. "I was like, 'Am I going to read this and not like it now? Have I outgrown this book?' It was the exact opposite. I love it even more."

It would be illogical today to think that AI completely replaces human creativity. Having two such powerful "machines" and deleting one of them would be an absolute mistake. Instead, we should take advantage of 200% of the potential offered by both, an awesome combination impossible to replace. Let's talk about art, music, dance, writing, … "Being creative means being in love with life", being able to generate new ideas or concepts spontaneously. Does AI take place in these fields?

None of these people exist. These images were generated using deepfake technology. Last month during ESPN's hit documentary series The Last Dance, State Farm debuted a TV commercial that has become one of the most widely discussed ads in recent memory. It appeared to show footage from 1998 of an ESPN analyst making shockingly accurate predictions about the year 2020. As it turned out, the clip was not genuine: it was generated using cutting-edge AI.