BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//MediaFutures - ECPv6.15.13.1//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://mediafutures.no
X-WR-CALDESC:Events for MediaFutures
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Oslo
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20250330T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20251026T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20260329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20261025T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20270328T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20271031T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Oslo:20260130T111500
DTEND;TZID=Europe/Oslo:20260130T160000
DTSTAMP:20260404T123555
CREATED:20260119T124814Z
LAST-MODIFIED:20260119T132516Z
UID:22360-1769771700-1769788800@mediafutures.no
SUMMARY:Linguistic representations and their role in the era of LLMs
DESCRIPTION:We are pleased to invite you to the trial lecture and public defence of Huiling You\, PhD candidate at SFI MediaFutures. \nDate: 30 JanuaryVenue: Kristen Nygaards sal (5370)\, Ole-Johan Dahls hus\, University of Oslo \nTime:\n11:15 Trial lecture\n13:15 Disputation \nPhD thesis:Event Extraction from News: Resources\, Methods and Application \nTrial lecture:Linguistic representations and their role in the era of LLMs \nMain research findings:\nIn an era of information overload\, transforming unstructured news into structured knowledge is a fundamental challenge for natural language processing. Event extraction\, the process of identifying specific occurrences and the people or organizations involved\, is essential for tracking global developments and detecting emerging crises. By automating these processes\, we can significantly improve the efficiency of news analysis and the consistency of information tracking across diverse media landscapes. \nThis thesis advances both the methodologies and resources available for event extraction in the news domain. The research shifts from treating events as isolated labels toward representing them as unified semantic graphs that capture the full context of how entities and events interact. To address the gap in support for smaller languages\, the work introduces new annotated datasets and investigates generative AI techniques that excel in settings where training data is limited. \nThe findings demonstrate that these sophisticated models produce more detailed and accurate representations of complex news narratives than traditional approaches. Additionally\, the thesis shows how this structured analysis can be applied to evaluate and improve the factual consistency of automated news summaries. Ultimately\, this research offers a robust framework for building more reliable and linguistically inclusive systems for global news monitoring. \nAdjudication committee: \n\nProfessor Antske Fokkens\, Vrije Universiteit Amsterdam\, The Netherlands\nProfessor Marco Kuhlmann\, Linköping University\, Sweden\nProfessor Martin Giese\, Department of Informatics\, University of Oslo\, Norway\n\nSupervisors: \n\nProfessor Lilja Øvrelid\, University of Oslo\, Norway\nProfessor Erik Velldal\, University of Oslo\, Norway\nAssociate Professor Samia Touileb\, University of Bergen\, Norway\n\nChair of defence: \n\nAssociate Professor Ellen Munthe-Kaas\, Department of Informatics\, University of Oslo
URL:https://mediafutures.no/event/linguistic-representations-and-their-role-in-the-era-of-llms/
LOCATION:Kristen Nygaards sal (5370)\, Ole-Johan Dahls hus\, University of Oslo
CATEGORIES:Events
ATTACH;FMTTYPE=image/png:https://mediafutures.no/wp-content/uploads/HuilingYouPhD.png
END:VEVENT
END:VCALENDAR