A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit <a rel="external noopener" href="https://arxiv.org/pdf/1806.08727v1.pdf">the original URL</a>. The file type is <code>application/pdf</code>.
Jack the Reader - A Machine Reading Framework
[article]
<span title="2018-06-20">2018</span>
<i >
arXiv
</i>
<span class="release-stage" >pre-print</span>
Preserved Fulltext
Many Machine Reading and Natural Language Understanding tasks require reading supporting text in order to answer questions. For example, in Question Answering, the supporting text can be newswire or Wikipedia articles; in Natural Language Inference, premises can be seen as the supporting text and hypotheses as questions. Providing a set of useful primitives operating in a single framework of related tasks would allow for expressive modelling, and easier model comparison and replication. To that
<span class="external-identifiers">
<a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1806.08727v1">arXiv:1806.08727v1</a>
<a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/p4r52au3zzewvaop66sy4lbyxu">fatcat:p4r52au3zzewvaop66sy4lbyxu</a>
</span>
more »
... end, we present Jack the Reader (Jack), a framework for Machine Reading that allows for quick model prototyping by component reuse, evaluation of new models on existing datasets as well as integrating new datasets and applying them on a growing set of implemented baseline models. Jack is currently supporting (but not limited to) three tasks: Question Answering, Natural Language Inference, and Link Prediction. It is developed with the aim of increasing research efficiency and code reuse.
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20191026133559/https://arxiv.org/pdf/1806.08727v1.pdf" 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/f5/9f/f59f2fffd59cf2d8c3cb333eabd6529c439b00f9.180px.jpg" alt="fulltext thumbnail" loading="lazy">
</div>
</button>
</a>
<a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1806.08727v1" title="arxiv.org access">
<button class="ui compact blue labeled icon button serp-button">
<i class="file alternate outline icon"></i>
arxiv.org
</button>
</a>