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    <dc:date>2026-06-21T20:55:03Z</dc:date>
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    <title>Multimodal multi-speaker merger &amp; acquisition (M3A) financial forecasting: a new task, dataset, and neural baselines</title>
    <link>http://repository.iiitd.edu.in/xmlui/handle/123456789/997</link>
    <description>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.</description>
    <dc:date>2020-12-01T00:00:00Z</dc:date>
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    <title>Online schooling during covid-19 era</title>
    <link>http://repository.iiitd.edu.in/xmlui/handle/123456789/972</link>
    <description>Title: Online schooling during covid-19 era
Authors: Walia, Angel; Eden, Grace (Advisor)</description>
    <dc:date>2020-12-01T00:00:00Z</dc:date>
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