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  <title>DSpace Collection:</title>
  <link rel="alternate" href="http://repository.iiitd.edu.in/xmlui/handle/123456789/971" />
  <subtitle />
  <id>http://repository.iiitd.edu.in/xmlui/handle/123456789/971</id>
  <updated>2026-06-21T20:55:03Z</updated>
  <dc:date>2026-06-21T20:55:03Z</dc:date>
  <entry>
    <title>Multimodal multi-speaker merger &amp; acquisition (M3A) financial forecasting: a new task, dataset, and neural baselines</title>
    <link rel="alternate" href="http://repository.iiitd.edu.in/xmlui/handle/123456789/997" />
    <author>
      <name>Goel, Prakhar</name>
    </author>
    <author>
      <name>Goyal, Mihir</name>
    </author>
    <author>
      <name>Shah, Rajiv Ratn (Advisor)</name>
    </author>
    <id>http://repository.iiitd.edu.in/xmlui/handle/123456789/997</id>
    <updated>2022-03-31T22:00:21Z</updated>
    <published>2020-12-01T00:00:00Z</published>
    <summary type="text">Title: Multimodal multi-speaker merger &amp; acquisition (M3A) financial forecasting: a new task, dataset, and neural baselines
Authors: Goel, Prakhar; Goyal, Mihir; Shah, Rajiv Ratn (Advisor)
Abstract: Financial risk prediction is an essential task in today’s financial markets, especially with the disclosure of&#xD;
important information such as Merger and Acquisition (M&amp;A) calls nowadays. M&amp;A calls often provide&#xD;
key insights into the confidence levels and agreeability between the different high ranking members of&#xD;
an organization concerning a merger or acquisition in the form of subtle vocal cues and verbal messages.&#xD;
Variations in vocal features such as pitch can suggest doubt and a lack of confidence that may discredit&#xD;
the message spoken. Additionally, information about the speaker of the message can assist the system&#xD;
in making better predictions. To aid the analysis of M&amp;A calls, we curate a dataset of conference call&#xD;
transcripts and audios from the past 5 years. We propose strong baseline architectures to accompany&#xD;
the model that takes advantage of the multimodal multi-speaker input to perform financial forecasting.&#xD;
Empirical results show the improvement that our architecture gives over existing models.</summary>
    <dc:date>2020-12-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Online schooling during covid-19 era</title>
    <link rel="alternate" href="http://repository.iiitd.edu.in/xmlui/handle/123456789/972" />
    <author>
      <name>Walia, Angel</name>
    </author>
    <author>
      <name>Eden, Grace (Advisor)</name>
    </author>
    <id>http://repository.iiitd.edu.in/xmlui/handle/123456789/972</id>
    <updated>2022-03-30T22:00:24Z</updated>
    <published>2020-12-01T00:00:00Z</published>
    <summary type="text">Title: Online schooling during covid-19 era
Authors: Walia, Angel; Eden, Grace (Advisor)</summary>
    <dc:date>2020-12-01T00:00:00Z</dc:date>
  </entry>
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