<p>here is a list of references on multiple intents detection (some with links to github repos) -</p>
<ol>
<li>GL-GIN: Fast and Accurate Non-Autoregressive Model for Joint Multiple Intent Detection and Slot Filling (2021)</li>
</ol>
<ul>
<li><p><a href="https://arxiv.org/pdf/2106.01925v1.pdf" rel="nofollow noreferrer">https://arxiv.org/pdf/2106.01925v1.pdf</a></p>
</li>
<li><p><a href="https://github.com/yizhen20133868/GL-GIN" rel="nofollow noreferrer">https://github.com/yizhen20133868/GL-GIN</a></p>
</li>
</ul>
<ol start="2">
<li>Joint Multiple Intent Detection and Slot Labeling for Goal-Oriented Dialog (2019)</li>
</ol>
<ul>
<li><a href="https://aclanthology.org/N19-1055.pdf" rel="nofollow noreferrer">https://aclanthology.org/N19-1055.pdf</a></li>
</ul>
<ol start="3">
<li>Towards Open Intent Discovery for Conversational Text (2019)</li>
</ol>
<ul>
<li><a href="https://arxiv.org/pdf/1904.08524.pdf" rel="nofollow noreferrer">https://arxiv.org/pdf/1904.08524.pdf</a></li>
</ul>
<ol start="4">
<li>MULTI-CLASS CLASSIFICATION WITHOUT MULTICLASS LABELS (2019)</li>
</ol>
<ul>
<li><p><a href="https://openreview.net/pdf?id=SJzR2iRcK7" rel="nofollow noreferrer">https://openreview.net/pdf?id=SJzR2iRcK7</a></p>
</li>
<li><p><a href="https://github.com/yizhen20133868/GL-GIN" rel="nofollow noreferrer">https://github.com/yizhen20133868/GL-GIN</a></p>
</li>
</ul>
Detect Multiple Intents from Call Center Conversation transcripts
<p>I am trying to build a Model that can take the User conversation, that involves dialogues, as Input and Find all the Intents involved in it. This is Basically an Intent Detection Problem. However, Normally labeling Sentences and extracting the features out of it and building an Intent classifier wouldn't work here because Multiple Intents might be Available in a Single Conversation. Is there any Tool / Way / any pipeline that I should follow to achieve this Use case.</p>