A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit <a rel="external noopener" href="https://aaai.org/ojs/index.php/AAAI/article/download/6290/6146">the original URL</a>. The file type is <code>application/pdf</code>.
Multi-Scale Self-Attention for Text Classification
<span title="2020-04-03">2020</span>
<i title="Association for the Advancement of Artificial Intelligence (AAAI)">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wtjcymhabjantmdtuptkk62mlq" style="color: black;">PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE</a>
</i>
Preserved Fulltext
In this paper, we introduce the prior knowledge, multi-scale structure, into self-attention modules. We propose a Multi-Scale Transformer which uses multi-scale multi-head self-attention to capture features from different scales. Based on the linguistic perspective and the analysis of pre-trained Transformer (BERT) on a huge corpus, we further design a strategy to control the scale distribution for each layer. Results of three different kinds of tasks (21 datasets) show our Multi-Scale
<span class="external-identifiers">
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1609/aaai.v34i05.6290">doi:10.1609/aaai.v34i05.6290</a>
<a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/p3ewzpzbmzgqveg5wvdposfzai">fatcat:p3ewzpzbmzgqveg5wvdposfzai</a>
</span>
more »
... er outperforms the standard Transformer consistently and significantly on small and moderate size datasets.
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201104141622/https://aaai.org/ojs/index.php/AAAI/article/download/6290/6146" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext">
<button class="ui simple right pointing dropdown compact black labeled icon button serp-button">
<i class="icon ia-icon"></i>
Web Archive
[PDF]
<div class="menu fulltext-thumbnail">
<img src="https://blobs.fatcat.wiki/thumbnail/pdf/db/9a/db9a895f9d2b8cebb1794295007dd3acf653c485.180px.jpg" alt="fulltext thumbnail" loading="lazy">
</div>
</button>
</a>
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1609/aaai.v34i05.6290">
<button class="ui left aligned compact blue labeled icon button serp-button">
<i class="external alternate icon"></i>
Publisher / doi.org
</button>
</a>