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3 results for “Same Side Stance Classification”
Same Side Stance Classification Resampled Datasets
<p>The resampled datasets for the <a href="http://sameside.webis.de/">Same Side Stance Classification</a> problem used in the EMNLP'21 paper "On Classifying whether Two Texts are on the Same Side of an Argument".</p> <p>The data is based on the publicly available <a href="https://zenodo.org/record/4382353">S3C training datasets</a>.</p> <p>The data format is <em>JSONlines</em>.<br> Python Load Example: (for every single task split)</p> <pre><code class="language-python">import pandas as pd df_cross_dev = pd.read_json("cross_dev.jsonl", lines=True)</code></pre> <p>For details on how the data was compiled, please refer to our <a href="https://github.com/webis-de/emnlp21-same-stance">code</a>.</p>
Same Side Stance Classification Adversarial Test Cases
<p>This dataset contains 175 cases. It is manually created to reveal the ability of models to solve different types of <strong>adversarial</strong> cases for same side stance predictions more systematically. The examples selected here are derived from the dataset used in the <a href="https://sameside.webis.de/">Same Side Stance Classification</a> shared task.</p> <p>We have selected <strong>25</strong> distinct arguments from the <em>"gay marriage"</em> topic that are short and express their stance clearly. For each selected argument, we construct new arguments of four distinct types to obtain two pairs, one with the same stance, and one with an opposing stance:</p> <ul> <li><strong>Negation</strong>: a simple negation of the argument.</li> <li><strong>Paraphrase</strong>: alters important words from the argument to synonymous expressions with the same stance.</li> <li><strong>Argument</strong>: uses an argument from the same topic and stance, but semantically completely different regarding the first one.</li> <li><strong>Citation</strong>: repeats or summarizes the first argument and then expresses agreement or rejection (a case frequently occurring in the dataset).</li> </ul> <p>The types <em>Paraphrase</em>, <em>Argument</em>, and <em>Citation</em> are also formulated in a negated version to create additional test instances for the opposite stance.</p>
Same Side Stance Classification Challenge
<p>The dataset contains argument pairs which are sampled from <a href="https://zenodo.org/record/4139439#.X-C6nOG-q6M">args.me dataset</a> and cover two topics: abortion and gay marriage. The dataset is used in the <a href="http://sameside.webis.de/">same side stance classification challenge</a> which consists of two experiments (cross-topics and within topics).</p> <p>Cite the dataset as <a href="https://webis.de/publications.html#stein_2021">Benno Stein, Yamen Ajjour, Roxanne El Baff, Khalid Al-Khatib, Philipp Cimiano, and Henning Wachsmuth. Same Side Stance Classification. In Yamen Ajjour et al, editors, Same Side Stance Classification Shared Task 2019, volume 2921, July 2021</a></p>
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