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arXiv.orgEnhancing Frame Detection with Retrieval Augmented GenerationRecent advancements in Natural Language Processing have significantly improved the extraction of structured semantic representations from unstructured text, especially through Frame Semantic Role Labeling (FSRL). Despite this progress, the potential of Retrieval-Augmented Generation (RAG) models for frame detection remains under-explored. In this paper, we present the first RAG-based approach for frame detection called RCIF (Retrieve Candidates and Identify Frames). RCIF is also the first approach to operate without the need for explicit target span and comprises three main stages: (1) generation of frame embeddings from various representations ; (2) retrieval of candidate frames given an input text; and (3) identification of the most suitable frames. We conducted extensive experiments across multiple configurations, including zero-shot, few-shot, and fine-tuning settings. Our results show that our retrieval component significantly reduces the complexity of the task by narrowing the search space thus allowing the frame identifier to refine and complete the set of candidates. Our approach achieves state-of-the-art performance on FrameNet 1.5 and 1.7, demonstrating its robustness in scenarios where only raw text is provided. Furthermore, we leverage the structured representation obtained through this method as a proxy to enhance generalization across lexical variations in the task of translating natural language questions into SPARQL queries.

First #detection of #influenza A virus subtypes #H1N1 and #H3N8 in the #Antarctic region: King George Island, 2023

Source: Vopr Virusol., AbstractRelevance. Influenza A virus is characterized by a segmented single-stranded RNA genome. Such organization of the virus genome determines the possibility of reassortment, which can lead to the emergence of new virus variants. The main natural reservoir of most influenza A virus subtypes are wild waterfowl. Seasonal migrations…

etidioh.wordpress.com/2024/10/

ETIDIoH · First #detection of #influenza A virus subtypes #H1N1 and #H3N8 in the #Antarctic region: King George Island, 2023Source: Vopr Virusol., AbstractRelevance. Influenza A virus is characterized by a segmented single-stranded RNA genome. Such organization of the virus genome determines the possibility of reassortm…

#Russia's #Doppelganger "foreign malign influence campaign" #FMIC Plans for #Election2024 include the following projects:

1. Good Old USA #GOUSA — promote #isolationism

2. Guerrilla Media Campaign in the US #USGMC — exploit perceived #polarization

3. US Social Media Influencers Network #USSMIN — avoid #detection & #mitigation

4. Target US by Influencing Other Countries #USTIOC#electionInterference

See pages 30-34 of the #DoppelgangerAffidavit at justice.gov/d9/2024-09/doppelg

@KamalaHarrisWin

Mid-Phanerozoic Exoplanets Might Be Easier to Detect than Modern Earth
In a new study, astronomers modeled the atmospheric composition and transmission spectra of five stages in Earth’s Phanerozoic Eon. Two key biosignature pairs — oxygen and methane, and ozone and methane — appeared stronger in models of Earth roughly 100 million to 300 million years ago, when oxygen levels were significantly higher.
sci.news/astronomy/mid-phanero #MidPhanerozoic #Exoplanets #Detection #biosignature #oxygen #methane #ozone

AI’s Dirty Little Secret: Stanford Researchers Expose Flaws in Text Detectors
In a study recently published in the journal Patterns, researchers demonstrate that computer algorithms often used to identify AI-generated text frequently falsely label articles written by non-native language speakers as being created by artificial intelligence. Researchers warn that unreliable performance of AI text-detection programs could adversely affect many individuals, including students and job applicants.
scitechdaily.com/ais-dirty-lit #AI #text #fraud #detection #NonNative

SciTechDailyAI’s Dirty Little Secret: Stanford Researchers Expose Flaws in Text DetectorsIn a study recently published in the journal Patterns, researchers demonstrate that computer algorithms often used to identify AI-generated text frequently falsely label articles written by non-native language speakers as being created by artificial intelligence. The researchers warn that the unreli

"To monitor the situation, a "nuclear sniffer" arrived in Europe - a specialized version of the WC-135R Constant Phoenix aircraft for sampling atmospheric air and detecting the presence of radioactive emissions."

:telegram: operativnoZSU

Excited to begin this blog series: So you want to be a SOC Analyst?

This post is just the intro to the series, but it outlines what I plan to roll out over the next few weeks as a resource for anyone that wants to take a fast path to gaining real-world skills needed by an entry-level SOC analyst.

If this interests you or someone you know, subscribe for updates as the series unfolds.

Eric’s SubstackSo you want to be a SOC Analyst? IntroBy Eric Capuano