This material may not be published, broadcast, rewritten, or redistributed. Quotes displayed in real-time or delayed by at least 15 minutes. Market data provided by Factset . Powered and implemented by FactSet Digital Solutions . Mutual Fund and ETF data provided by Refinitiv Lipper .

EXCLUSIVE: Sen. Lindsey Graham is demanding answers on reporting that British International Criminal Court (ICC) prosecutor Karim Khan was accused of sexual misconduct at the same time he was pursuing criminal charges against Israeli officials. "Public reports indicate that allegations of harassment surfaced in early May--just a few days before Prosecutor Khan applied for arrest warrants against the Prime Minister and Minister of Defense of Israel for alleged violations of law during the defensive Israeli-Hamas War," Graham wrote in a letter obtained by Fox News Digital. "The timing of the allegations is troubling, and only compounds the other strong legal, jurisdictional, and prudential objections I have expressed regarding the Prosecutor's decision to seek arrest warrants." On May 20, Khan requested arrest warrants for Israeli President Benjamin Netanyahu and Defence Minister Yoav Gallant, as well as Hamas leaders Yahya Sinwar, Ismail Haniyeh and Mohammed Deif. All three Hamas leaders have been killed in the past year.

Entity typing aims at predicting one or more words that describe the type(s) of a specific mention in a sentence. Due to shortcuts from surface patterns to annotated entity labels and biased training, existing entity typing models are subject to the problem of spurious correlations. To comprehensively investigate the faithfulness and reliability of entity typing methods, we first systematically define distinct kinds of model biases that are reflected mainly from spurious correlations. Particularly, we identify six types of existing model biases, including mention-context bias, lexical overlapping bias, named entity bias, pronoun bias, dependency bias, and overgeneralization bias. To mitigate model biases, we then introduce a counterfactual data augmentation method. By augmenting the original training set with their debiased counterparts, models are forced to fully comprehend sentences and discover the fundamental cues for entity typing, rather than relying on spurious correlations for shortcuts. Experimental results on the UFET dataset show our counterfactual data augmentation approach helps improve generalization of different entity typing models with consistently better performance on both the original and debiased test sets.

JERUSALEM – Israeli Prime Minister Benjamin Netanyahu on Tuesday warned Iran and its Lebanese Shiite proxy, the militant Hezbollah group, that Israel "knows how to defend itself and how to pay back its enemies." Netanyahu's remarks came in response to Hezbollah leader Hassan Nasrallah's threats to retaliate against an Israeli airstrike in Syria that killed two Hezbollah members. Netanyahu said he heard the threats saying: "I suggest that Nasrallah relax." He also sent a message to Iranian Gen. Qassem Soleimani, whom Israel accuses of masterminding a drone attack from Syria that it thwarted with its airstrike. "Be careful with your words and even more so be careful with your actions," Netanyahu said.