Here's why the coaches association's 24-team College Football Playoff could ruin the sport President Trump on $1,000 World Cup ticket prices: 'I wouldn't pay it either, to be honest' Pirates vs. Diamondbacks betting preview targets the under as both offenses go cold in series Former LSU coach Brian Kelly uses AI to prepare for job interviews, proving he's just like the rest of us Newsom office source responds to planned protest against trans athlete at state playoff girls' track meet Iranians are fearful of facing the regime's frustration and anger after the war, activist says'This can touch anyone': Gorman family speaks following loss of Sheridan'Project Freedom' could soon resume: Report Iranian people are not citizens, but'subjects' of the regime: Middle East expert Vice Admiral Robert Harward weighs in on restarting'Project Freedom' in Strait of Hormuz Largest teachers' union accused of antisemitism in federal civil rights complaint McEnany's URGENT plea: 'Be Spencer Pratt!' WHO doesn't expect large Hantavirus outbreak OutKick Boston Celtics star Jaylen Brown tells ESPN's Stephen A Smith to'be quiet and retire' The viral exchange on X adds Brown to a list of NBA stars, including LeBron James and Kevin Durant, who've feuded with Smith ESPN commentator Stephen A. Smith is no stranger to having beef with NBA stars. It's time to add Celtics guard Jaylen Brown to the list. The latest dust-up started, naturally, on First Take, where Smith took aim at Brown for his comments following Boston's playoff collapse . Brown recently said this was his favorite year, despite the Celtics blowing a 3-1 series lead to the Philadelphia 76ers and getting eliminated in the first round of the NBA playoffs. That didn't sit well with Smith, who made it very clear Thursday that he thought Brown should have kept that to himself.

In this paper, we present a system that uses a Large Language Model (LLM) to perform grammar and spelling correction as a component of Quality Assurance (QA) for texts generated by NLG systems, which is important for text production in real-world scenarios. Evaluating the results of the system on work-in-progress sports news texts in three languages, we show that it is able to deliver acceptable corrections.

Fox News Flash top sports headlines are here. Check out what's clicking on Foxnews.com. The Charlotte Hornets may have misunderstood the purpose of the season of giving. The team came under fire this week after someone on social media claimed a young fan involved with an on-court skit during Monday night's game against the Philadelphia 76ers was tricked out of receiving a new video game console. Charlotte Hornets guard LaMelo Ball, right, shoots over Philadelphia 76ers forward KJ Martin Jr., left, during the first half in Charlotte, N.C., Monday, Dec. 16, 2024.

The most popular Cross-Document Event Coreference Resolution (CDEC) datasets fail to convey the true difficulty of the task, due to the lack of lexical diversity between coreferring event triggers (words or phrases that refer to an event). Furthermore, there is a dearth of event datasets for figurative language, limiting a crucial avenue of research in event comprehension. We address these two issues by introducing ECB+META, a lexically rich variant of Event Coref Bank Plus (ECB+) for CDEC on symbolic and metaphoric language. We use ChatGPT as a tool for the metaphoric transformation of sentences in the documents of ECB+, then tag the original event triggers in the transformed sentences in a semi-automated manner. In this way, we avoid the re-annotation of expensive coreference links. We present results that show existing methods that work well on ECB+ struggle with ECB+META, thereby paving the way for CDEC research on a much more challenging dataset. Code/data: https://github.com/ahmeshaf/llms_coref