FRACAS: FRench Annotated Corpus of Attribution relations in newS

<p>A human-annotated corpus for French quotation extraction<strong> </strong>containing 1676 newswire texts with 10 965 annotated attribution relations (quotes attributed to its speaker).</p> <p><strong>Data</strong>: 1676 newswire texts in French from Reuters annotated with 10 965 attribution relations</p> <p><strong>Date: </strong>April 1995 to April 1996</p> <p><strong>Data structure</strong>:</p> <p>{</p> <p>&quot;text&quot;: <em>text of the newswire,</em></p> <p>&quot;entities&quot;: <em>a list of each entity in the following format</em> [&quot;id&quot;: <em>unique_id</em>, &quot;text&quot;: <em>text of entity</em>, &quot;label&quot;: <em>entity label</em>, <em>&quot;</em>gender&quot;: <em>gender (if labelled</em>), &quot;char_span&quot;: <em>a list of character index span</em>]</p> <p>&quot;relations&quot;<em>: </em><em>a list of each relation in the following format</em> [<em>id of relation</em>, <em>label of relation</em>, <em>id of first entity</em>, <em>id of second entity</em></p> <p>}</p> <p><strong>Labels:</strong></p> <ul> <li>Entities: <ul> <li><strong>Quotation</strong> (Direct, Indirect or Mixed)</li> <li><strong>Speaker</strong> (Agent, Organization, Group of People, Source Pronoun)</li> <li><strong>Cue</strong></li> </ul> </li> <li>Attributes: <ul> <li>Speaker Gender (Male, Female, Mixed, Unknown, Other)</li> </ul> </li> <li>Relations: <ul> <li>Speaker <strong>Quoted in </strong>Quotation</li> <li>Cue <strong>Indicates </strong>Quotation</li> <li>Source Pronoun <strong>Refers</strong> to Speaker</li> </ul> </li> </ul>