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TZID:Asia/Kolkata
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UID:53@cds.iisc.ac.in
DTSTART;TZID=Asia/Kolkata:20240527T110000
DTEND;TZID=Asia/Kolkata:20240527T120000
DTSTAMP:20240523T071016Z
URL:https://cds.iisc.ac.in/events/seminar-cds-102-27th-may-high-coverage-i
 nformation-extraction/
SUMMARY:{Seminar} @ CDS: #102: 27th May: "High-coverage information extract
 ion."
DESCRIPTION:Department of Computational and Data Sciences\nDepartment Semin
 ar\n\n\n\nSpeaker : Sneha Singhania\, PhD student at the Max Planck Instit
 ute for Informatics and Saarland University in Germany\nTitle : "High-cove
 rage information extraction."\nDate &amp\; Time : May 27\, 2024\, 11:00 AM
 \nVenue : # 102\, CDS Seminar Hall\n\n\n\nABSTRACT\nStructured knowledge\,
  in the form of entities and relations\, is a powerful asset for search\, 
 recommendations\, and data integration and is extensively used by differen
 t stakeholders. However\, converting noisy internet content into crisp kno
 wledge structures requires heavy-duty processing of vast amounts of data. 
 Using language models (LMs) for information extraction (IE) is mature but 
 still struggles to achieve both high precision and high recall\, limiting 
 their reliable usage. In my talk\, I will present three lines of work for 
 high-coverage IE from various knowledge sources. Firstly\, I will detail h
 ow one can identify and filter content-rich web documents\, laying out our
  approach to rank documents to automatically build knowledge bases (KBs). 
 Secondly\, I will discuss the emerging role of LMs as KBs\, using various 
 probing techniques. Finally\, I will introduce the L3X framework\, which e
 xtracts a long list of entities from long documents using retrieval-augmen
 ted LMs. Together\, these techniques help us better handle the unknowns an
 d construct complete structured knowledge.\n\nBIOGRAPHY\nSneha Singhania i
 s a PhD student at the Max Planck Institute for Informatics and Saarland U
 niversity in Germany\, advised by Gerhard Weikum and Simon Razniewski. Her
  research aims to close the knowledge gap between data sources and models 
 to generate reliable output. In the past\, she graduated from IIIT-Bangalo
 re with a dual degree in Computer Science\, worked as a researcher at Acce
 nture Labs\, and interned at Apple Research in Cupertino.\n\nHost Faculty:
  Dr. Danish Pruthi\n\n\n\nALL ARE WELCOME
CATEGORIES:Events
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