Text Simplification is an ongoing problem in Natural Language Processing, solution to which has varied implications. In conjunction with the TSAR-2022 Workshop @EMNLP2022 Lexical Simplification is the process of reducing the lexical complexity of a text by replacing difficult words with easier to read (or understand) expressions while preserving the original information and meaning. This paper explains the work done by our team "teamPN" for English sub task. We created a modular pipeline which combines modern day transformers based models with traditional NLP methods like paraphrasing and verb sense disambiguation. We created a multi level and modular pipeline where the target text is treated according to its semantics(Part of Speech Tag). Pipeline is multi level as we utilize multiple source models to find potential candidates for replacement, It is modular as we can switch the source models and their weight-age in the final re-ranking.

AI in recruitment is a fast-growing trend that is changing how we find work. With 43% of HR professionals already using AI and more planning to in the future, job seekers need to know how to use it to their advantage. In our ultimate guide to AI for talent management, we'll explain what AI is all about and how you can use it to help your job search. AI means technology that does things automatically using algorithms and machine learning. Recruiters are using AI to automate some of the high-volume recruitment processes.

The use of artificial intelligence in the hiring process has increased in recent years with companies turning to automated assessments, digital interviews, and data analytics to parse through resumes and screen candidates. But as IT strives for better diversity, equity, and inclusion (DEI), it turns out AI can do more harm than help if companies aren't strategic and thoughtful about how they implement the technology. "The bias usually comes from the data. If you don't have a representative data set, or any number of characteristics that you decide on, then of course you're not going to be properly, finding and evaluating applicants," says Jelena Kovačević, IEEE Fellow, William R. Berkley Professor, and Dean of the NYU Tandon School of Engineering. The chief issue with AI's use in hiring is that, in an industry that has been predominantly male and white for decades, the historical data on which AI hiring systems are built will ultimately have an inherent bias.

Imagine the first day of your next job. You've never visited the office before or sat down with anyone from the company in person. In fact, the first person you meet face-to-face is the security guard, who hands you your building pass at reception. However, even though you've never been here before, you make your way to your desk, and see familiar faces and spaces. You wave hello to your manager, sit down at your desk, and begin work like you've been with the company for years.

Artificial intelligence, which was once considered to have the potential to impact lives everywhere is actually affecting thousands of lives every day in reality. AI algorithms are used in almost every sector – criminal justice, recruitment, news media, manufacturing, banking, military, law enforcement, etc. With AI being used in diverse areas, there is a growing worry among researchers that bias in AI can threaten human rights and society, coming in the way of free speech, right to resources and information, to name a few. With such risks, the need for ethical, responsible, and transparent AI is obvious. In 2019, the AI Ethicist role was established as top 5 hires for companies that want to succeed in the digital domain.

Artificial Intelligence (AI) is transforming the workplace in significant ways that are being used by recruiters to expand and improve their workforce. These AI applications are not about replacing human beings as much as efficiently finding the best human beings as candidates for open job positions. AI is extremely efficient in data mining to find the keywords that will be the optimal choices for advertising copy about open job positions. AI is also effective in screening potential candidates to find a match. To have job listings rank high on the search engine results page, recruiters use AI-driven keyword optimization techniques to have the best results.

Hong Kong (CNN Business)British researchers have identified 50 new planets using artificial intelligence, marking a technological breakthrough in astronomy. Astronomers and computer scientists from the University of Warwick built a machine learning algorithm to dig through old NASA data containing thousands of potential planet candidates. It's not always clear, however, which of these candidates are genuine. When scientists search for exoplanets (planets outside our solar system), they look for dips in light that indicate a planet passing between the telescope and their star. But these dips could also be caused by other factors, like background interference or even errors in the camera.

Seyfarth Synopsis: As companies face increasing competition for the best talent within the marketplace, a growing number of businesses are turning to artificial intelligence and data driven strategies to more effectively identify and evaluate potential employees. The first installment of our artificial intelligence series will focus on some of the ways that employers are using these technologies in the area of talent acquisition. Business has always been in a search for "the next big thing." Something to give them an edge over competitors or allow them to anticipate shifts in the marketplace before they happen. Companies who moved from hand production to large-scale manufacturing were able to dominate nascent markets around the turn of the 20th Century.

Historical data can be an authoritative source of intel for a company looking to make smarter and faster decisions. When efficiencies are possible, it's best to use the tools available to achieve them. Today's recruiters need a more efficient workflow, which is driving the advancements being made in hiring tools, including the introduction of predictive analytics. In recent years, predictive analytics have become an essential tool for any recruiter looking to acquire top talent. Predictive analytics (PA) is the use of historical data to make better decisions for the future using artificial intelligence (AI) and machine learning (ML).

As an HR tech analyst, author and brand strategist, Meghan is sought after for her ideas about the future of work, is a regularly featured speaker at global business conferences, and serves on boards for leading HR and technology brands.