Fox News Flash top sports headlines are here. Check out what's clicking on Foxnews.com. Tuesday's bombshell news that the PGA Tour, DP World Tour and LIV Golf would merge in order to "unify the game of golf, on a global basis" took almost everybody by surprise. The agreement ends "two years of disruption and distraction" between the PGA and the Saudi-backed invitational while creating a "transformational partnership" between the three entities. While many are unhappy with the agreement, one ESPN analyst is a big fan of the move.

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. The PGA Tour has stepped up its response to the rival Saudi-backed golf league this week, proposing an eight-event series worth at least $160 million in total prize earnings, according to multiple reports. Commissioner Jay Monahan met with players on Tuesday ahead of this week's Travelers Championship to discuss changes to the tour schedule that will include "eight limited-field no-cut events, with purses of $20 million or more each, for the top 50 finishers in the prior season's FedEx Cup standings," Gold Digest reported, citing several players present at the meeting. PGA Tour Commissioner Jay Monahan speaks to the media during a press conference prior to The Players Championship on the Stadium Course at TPC Sawgrass on March 8, 2022 in Ponte Vedra Beach, Florida.

Distant supervision relation extraction (DSRE) is an efficient method to extract semantic relations on a large-scale heuristic labeling corpus. However, it usually brings in a massive noisy data. In order to alleviate this problem, many recent approaches adopt reinforcement learning (RL), which aims to select correct data autonomously before relation classification. Although these RL methods outperform conventional multi-instance learning-based methods, there are still two neglected problems: 1) the existing RL methods ignore the feedback of noisy data, 2) the reduction of training corpus exacerbates long-tail problem. In this paper, we propose a novel framework to solve the two problems mentioned above. Firstly, we design a novel reward function to obtain feedback from both correct and noisy data. In addition, we use implicit relations information to improve RL. Secondly, we propose the hierarchical memory extractor (HME), which utilizes the gating mechanism to share the semantics from correlative instances between data-rich and data-poor classes. Moreover, we define a hierarchical weighted ranking loss function to implement top-down search processing. Extensive experiments conducted on the widely used NYT dataset show significant improvement over state-of-the-art baseline methods.

PONTE VEDRA BEACH, FLORIDA – Following successful technology launches over the last three years in augmented reality and virtual reality, the PGA TOUR has unveiled Artificial Intelligence (AI) platforms to enhance broadcast and digital storytelling. Among the TOUR's primary areas of focus in AI are a Microsoft-developed Content Relevancy Engine (CRE), a smart video clipping tool and an automated story creator that all utilize data captured by ShotLink powered by CDW. Microsoft has collaborated with the TOUR to develop an application built on Microsoft's Azure cloud that can sift through nearly 20 years of statistical data collected by the TOUR's proprietary scoring system, ShotLink powered by CDW, as well as 80,000-plus hours of video in the TOUR's digital library to provide real-time statistical trends and storylines relevant to the current action. The CRE provides contextual content for television broadcasts and digital properties to enhance fan understanding of competitive situations as they occur. "The PGA TOUR strives to be a leader in sports innovation with a goal of reaching new fans globally," said Steve Evans, SVP Information Systems of the PGA TOUR.