With social media, this informal language has become more easily observable to people and trainers of large language models (LLMs) alike. While the advantage of large corpora seems like the solution to all machine learning and Natural Language Processing (NLP) problems, idioms and figurative language continue to elude LLMs. Finetuning approaches are proving to be optimal, but better and larger datasets can help narrow this gap even further. The datasets presented in this paper provide one answer, while offering a diverse set of categories on which to build new models and develop new approaches. A selection of recent idiom and figurative language datasets were used to acquire a combined idiom list, which was used to retrieve context sequences from a large corpus. One large-scale dataset of potential idiomatic and figurative language expressions and two additional human-annotated datasets of definite idiomatic and figurative language expressions were created to evaluate the baseline ability of pre-trained language models in handling figurative meaning through idiom recognition (detection) tasks. The resulting datasets were post-processed for model agnostic training compatibility, utilized in training, and evaluated on slot labeling and sequence tagging.

Emmanuel Acho, LeSean McCoy and James Jones discuss whether the Pittsburgh Steelers should draft a QB in the first round with Aaron Rodgers' NFL future unknown. The calendar has turned to May, and Aaron Rodgers is still a free agent. Rodgers has been linked to the Steelers for a couple of months, but Thomas Tull, a part-owner of the Steelers, said the courtship of Rodgers is more "complex" than artificial intelligence. "I'm here to talk about AI, and that's a more complex issue than artificial intelligence," Tull said when asked about Rodgers in an interview on CNBC's "Power Lunch." The team has three quarterbacks on its roster -- Mason Rudolph, Skylar Thompson and sixth-round draft pick Will Howard.

While the NFL is not normally known for embracing change, certain teams around the league have been quick to adapt to new technologies that will give them an edge or help improve existing training methods. In 2016, the Pittsburgh Steelers were one of the first to trial tackling robots at practice, a device ultimately purchased by a number of NFL teams and colleges. Now it would appear that the use of robotics in football has taken a significant leap forward with the invention of a device that is most simply described as a robotic quarterback. Created by a group of alumni from Iowa University and their company Monarc Sports Robotics, "The Seeker" is capable of delivering a football to any predefined point on the field using tracking software or being used as a more accurate version of a jugs machine. Here's the story behind Seeker, the world's first robotic quarterback developed by Monarc Inc and currently being trialled by a host of NFL and college football teams.

Today, Facebook announced Deep Text, an AI engine it's building to understand the meaning and sentiment behind all of the text posted by users to Facebook. In a blog post, Facebook said that it was building the system to help it surface content that people may be interested in, and weed out spam. This might sound like a minor improvement, but it actually has the potential--in theory--to transform the social network most of us use every day into something else we use daily: a powerful search engine. "We want Deep Text to be used in categorizing content within Facebook to facilitate searching for it and also surfacing the right content to users," Hussein Mehanna, an engineering director at Facebook's machine learning team, told Quartz. The universe of that search may not be the whole worldwide web that Google crawls, but it's still massive.

The Pittsburgh Steelers are testing out a smart dummy. A Mobile Virtual Player, a remote controlled robotic dummy, was introduced during Steelers workouts. The mobile dummies, developed at Dartmouth College, could aid in tackling development without the risk of players hitting each other. "The applications we are quickly finding are endless," coach Mike Tomlin told the team's official website. It runs at an appropriate football speed.