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DTSTART:20250309T030000
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DTSTART:20241103T010000
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BEGIN:VEVENT
DTSTAMP:20250206T211918Z
UID:1404F4AC-CAB8-43C9-A870-F4D8B2097AD3
DTSTART;TZID=US/Pacific:20250205T184500
DTEND;TZID=US/Pacific:20250205T203000
DESCRIPTION:Synopsis:\n\nMultimodal information processing involves utilizi
 ng data from diverse sources such as images\, videos\, and text to improve
  real-world applications. This presentation will explore how extracting in
 sights from multiple modalities can enhance tasks like summarization\, hat
 e speech detection\, complaint mining\, and medical question summarization
 . Combining data from videos\, images\, and texts can create more comprehe
 nsive summaries. The speaker will discuss their recent works in multimodal
  summarization\, focusing on areas like comment-aware multimodal summariza
 tion\, multilingual approaches\, and medical question summarization. The t
 alk will also cover the datasets and methods developed to address these ch
 allenges in detail.\n\nSpeaker(s): Dr. Vishnu S. Pendyala\, Dr. Sriparna S
 aha\n\nVirtual: https://events.vtools.ieee.org/m/461803
LOCATION:Virtual: https://events.vtools.ieee.org/m/461803
ORGANIZER:pendyala@ieee.org
SEQUENCE:58
SUMMARY:Charting New Territories: Multimodal Information Processing in NLP 
 through Deep Learning and Language Modeling
URL;VALUE=URI:https://events.vtools.ieee.org/m/461803
X-ALT-DESC:Description: &lt;br /&gt;&lt;p style=&quot;text-align: right\;&quot;&gt;&lt;img style=&quot;fl
 oat: left\;&quot; src=&quot;https://events.vtools.ieee.org/vtools_ui/media/display/9
 e99b38d-e641-4bac-8dc1-330327edc5b9&quot;&gt;&lt;/p&gt;\n&lt;p&gt;&lt;em&gt;&lt;strong&gt;&amp;nbsp\; Synopsis
 :&lt;br&gt;&lt;/strong&gt;&lt;/em&gt;&lt;/p&gt;\n&lt;div&gt;&amp;nbsp\;Multimodal information processing inv
 olves utilizing data from diverse sources such as images\, videos\, and te
 xt to improve real-world applications. This presentation will explore how 
 extracting insights from multiple modalities can enhance tasks like summar
 ization\, hate speech detection\, complaint mining\, and medical question 
 summarization. Combining data from videos\, images\, and texts can create 
 more comprehensive summaries. The speaker will discuss their recent works 
 in multimodal summarization\, focusing on areas like comment-aware multimo
 dal summarization\, multilingual approaches\, and medical question summari
 zation. The talk will also cover the datasets and methods developed to add
 ress these challenges in detail.&lt;/div&gt;
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