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Pie Model for Classical French -- Part-of-Speech and Morphology (CATTEX2009-max)

Camps, Jean-Baptiste; Gabay, Simon; Clérice, Thibault; Cafiero, Florian


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  <identifier identifierType="DOI">10.5281/zenodo.3701320</identifier>
  <creators>
    <creator>
      <creatorName>Camps, Jean-Baptiste</creatorName>
      <givenName>Jean-Baptiste</givenName>
      <familyName>Camps</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-0385-7037</nameIdentifier>
      <affiliation>École nationale des chartes</affiliation>
    </creator>
    <creator>
      <creatorName>Gabay, Simon</creatorName>
      <givenName>Simon</givenName>
      <familyName>Gabay</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-9094-4475</nameIdentifier>
      <affiliation>Université de Neuchâtel</affiliation>
    </creator>
    <creator>
      <creatorName>Clérice, Thibault</creatorName>
      <givenName>Thibault</givenName>
      <familyName>Clérice</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-1852-9204</nameIdentifier>
      <affiliation>École nationale des chartes</affiliation>
    </creator>
    <creator>
      <creatorName>Cafiero, Florian</creatorName>
      <givenName>Florian</givenName>
      <familyName>Cafiero</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-1951-6942</nameIdentifier>
      <affiliation>CNRS</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Pie Model for Classical French -- Part-of-Speech and Morphology (CATTEX2009-max)</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <subjects>
    <subject>Natural language processing</subject>
    <subject>Part-of-speech tagging</subject>
    <subject>Classical French</subject>
    <subject>French Language</subject>
    <subject>Deep Learning</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2020-03-04</date>
  </dates>
  <language>fr</language>
  <resourceType resourceTypeGeneral="Software"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3701320</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsSupplementTo" resourceTypeGeneral="Dataset">10.5281/zenodo.3243486.</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3696675</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/natural-language-processing</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;Pie Model for Classical French, for Part-of-Speech and Morphology tags (CATTEX2009-max).&lt;/p&gt;

&lt;p&gt;Trained on a corpus of Classical French Theatre.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;More information&lt;/strong&gt;:&lt;/p&gt;

&lt;p&gt;- &lt;em&gt;corpus&lt;/em&gt;: Camps, Jean-Baptiste, &amp;amp; Cafiero, Florian. (2019). Stylometric Analysis of Classical French Theatre [Data set]. Zenodo. &lt;a href="http://doi.org/10.5281/zenodo.3353421"&gt;http://doi.org/10.5281/zenodo.3353421&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;- F. Cafiero and J.B. Camps, Why Moli&amp;egrave;re most likely did write his plays, &lt;em&gt;Science Advances&lt;/em&gt;, 27 Nov 2019: Vol. 5, no. 11, eaax5489, DOI: 10.1126/sciadv.aax5489, &lt;a href="https://advances.sciencemag.org/content/5/11/eaax5489/"&gt;https://advances.sciencemag.org/content/5/11/eaax5489/&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;- J.B. Camps, S. Gabay, Th. Cl&amp;eacute;rice and F. Cafiero, Corpus and Models for Lemmatisation and POS-tagging of Classical French Theatre, to be published.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Current results on test data:&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;::: Evaluation report for task: pos :::&lt;/p&gt;

&lt;p&gt;all:&lt;br&gt;
&amp;nbsp; accuracy: 0.9701&lt;br&gt;
&amp;nbsp; precision: 0.92&lt;br&gt;
&amp;nbsp; recall: 0.8964&lt;br&gt;
&amp;nbsp; support: 4181&lt;br&gt;
ambiguous-tokens:&lt;br&gt;
&amp;nbsp; accuracy: 0.9229&lt;br&gt;
&amp;nbsp; precision: 0.9203&lt;br&gt;
&amp;nbsp; recall: 0.9175&lt;br&gt;
&amp;nbsp; support: 934&lt;br&gt;
unknown-tokens:&lt;br&gt;
&amp;nbsp; accuracy: 0.8165&lt;br&gt;
&amp;nbsp; precision: 0.4798&lt;br&gt;
&amp;nbsp; recall: 0.4904&lt;br&gt;
&amp;nbsp; support: 218&lt;/p&gt;

&lt;p&gt;::: Evaluation report for task: MODE :::&lt;/p&gt;

&lt;p&gt;all:&lt;br&gt;
&amp;nbsp; accuracy: 0.9818&lt;br&gt;
&amp;nbsp; precision: 0.8765&lt;br&gt;
&amp;nbsp; recall: 0.8517&lt;br&gt;
&amp;nbsp; support: 4181&lt;br&gt;
ambiguous-tokens:&lt;br&gt;
&amp;nbsp; accuracy: 0.84&lt;br&gt;
&amp;nbsp; precision: 0.8483&lt;br&gt;
&amp;nbsp; recall: 0.7612&lt;br&gt;
&amp;nbsp; support: 125&lt;br&gt;
unknown-tokens:&lt;br&gt;
&amp;nbsp; accuracy: 0.8211&lt;br&gt;
&amp;nbsp; precision: 0.7256&lt;br&gt;
&amp;nbsp; recall: 0.658&lt;br&gt;
&amp;nbsp; support: 218&lt;/p&gt;

&lt;p&gt;&lt;br&gt;
::: Classification report :::&lt;/p&gt;

&lt;p&gt;| target&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | precision | recall | f1-score | support |&lt;br&gt;
|-------------|-----------|--------|----------|---------|&lt;br&gt;
| MODE=con&amp;nbsp;&amp;nbsp;&amp;nbsp; | 0.81&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 0.94&amp;nbsp;&amp;nbsp; | 0.87&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 18&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; |&lt;br&gt;
| MODE=imp&amp;nbsp;&amp;nbsp;&amp;nbsp; | 0.83&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 0.78&amp;nbsp;&amp;nbsp; | 0.80&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 68&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; |&lt;br&gt;
| MODE=ind&amp;nbsp;&amp;nbsp;&amp;nbsp; | 0.91&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 0.92&amp;nbsp;&amp;nbsp; | 0.92&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 341&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; |&lt;br&gt;
| MODE=sub&amp;nbsp;&amp;nbsp;&amp;nbsp; | 0.84&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 0.62&amp;nbsp;&amp;nbsp; | 0.71&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 60&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; |&lt;br&gt;
| MODE=x&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 0.99&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 1.00&amp;nbsp;&amp;nbsp; | 1.00&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 3694&amp;nbsp;&amp;nbsp;&amp;nbsp; |&lt;br&gt;
| avg / total | 0.88&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 0.85&amp;nbsp;&amp;nbsp; | 0.86&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 4181&amp;nbsp;&amp;nbsp;&amp;nbsp; |&lt;/p&gt;

&lt;p&gt;&lt;br&gt;
::: Evaluation report for task: TEMPS :::&lt;/p&gt;

&lt;p&gt;all:&lt;br&gt;
&amp;nbsp; accuracy: 0.9871&lt;br&gt;
&amp;nbsp; precision: 0.9305&lt;br&gt;
&amp;nbsp; recall: 0.9259&lt;br&gt;
&amp;nbsp; support: 4181&lt;br&gt;
ambiguous-tokens:&lt;br&gt;
&amp;nbsp; accuracy: 0.9135&lt;br&gt;
&amp;nbsp; precision: 0.623&lt;br&gt;
&amp;nbsp; recall: 0.6072&lt;br&gt;
&amp;nbsp; support: 104&lt;br&gt;
unknown-tokens:&lt;br&gt;
&amp;nbsp; accuracy: 0.8394&lt;br&gt;
&amp;nbsp; precision: 0.8693&lt;br&gt;
&amp;nbsp; recall: 0.5399&lt;br&gt;
&amp;nbsp; support: 218&lt;/p&gt;

&lt;p&gt;&lt;br&gt;
::: Classification report :::&lt;/p&gt;

&lt;p&gt;| target&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | precision | recall | f1-score | support |&lt;br&gt;
|-------------|-----------|--------|----------|---------|&lt;br&gt;
| TEMPS=fut&amp;nbsp;&amp;nbsp; | 0.98&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 0.85&amp;nbsp;&amp;nbsp; | 0.91&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 47&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; |&lt;br&gt;
| TEMPS=ipf&amp;nbsp;&amp;nbsp; | 0.93&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 0.88&amp;nbsp;&amp;nbsp; | 0.90&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 16&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; |&lt;br&gt;
| TEMPS=psp&amp;nbsp;&amp;nbsp; | 0.80&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 1.00&amp;nbsp;&amp;nbsp; | 0.89&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 4&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; |&lt;br&gt;
| TEMPS=pst&amp;nbsp;&amp;nbsp; | 0.95&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 0.91&amp;nbsp;&amp;nbsp; | 0.93&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 334&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; |&lt;br&gt;
| TEMPS=x&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 0.99&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 1.00&amp;nbsp;&amp;nbsp; | 0.99&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 3780&amp;nbsp;&amp;nbsp;&amp;nbsp; |&lt;br&gt;
| avg / total | 0.93&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 0.93&amp;nbsp;&amp;nbsp; | 0.92&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 4181&amp;nbsp;&amp;nbsp;&amp;nbsp; |&lt;/p&gt;

&lt;p&gt;&lt;br&gt;
::: Evaluation report for task: PERS :::&lt;/p&gt;

&lt;p&gt;all:&lt;br&gt;
&amp;nbsp; accuracy: 0.9859&lt;br&gt;
&amp;nbsp; precision: 0.9821&lt;br&gt;
&amp;nbsp; recall: 0.9668&lt;br&gt;
&amp;nbsp; support: 4181&lt;br&gt;
ambiguous-tokens:&lt;br&gt;
&amp;nbsp; accuracy: 0.942&lt;br&gt;
&amp;nbsp; precision: 0.9178&lt;br&gt;
&amp;nbsp; recall: 0.9188&lt;br&gt;
&amp;nbsp; support: 362&lt;br&gt;
unknown-tokens:&lt;br&gt;
&amp;nbsp; accuracy: 0.8394&lt;br&gt;
&amp;nbsp; precision: 0.9426&lt;br&gt;
&amp;nbsp; recall: 0.6344&lt;br&gt;
&amp;nbsp; support: 218&lt;/p&gt;

&lt;p&gt;&lt;br&gt;
::: Classification report :::&lt;/p&gt;

&lt;p&gt;| target&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | precision | recall | f1-score | support |&lt;br&gt;
|-------------|-----------|--------|----------|---------|&lt;br&gt;
| PERS.=1&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 0.98&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 0.96&amp;nbsp;&amp;nbsp; | 0.97&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 429&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; |&lt;br&gt;
| PERS.=2&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 0.97&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 0.97&amp;nbsp;&amp;nbsp; | 0.97&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 258&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; |&lt;br&gt;
| PERS.=3&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 0.99&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 0.94&amp;nbsp;&amp;nbsp; | 0.96&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 410&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; |&lt;br&gt;
| PERS.=x&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 0.99&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 1.00&amp;nbsp;&amp;nbsp; | 0.99&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 3084&amp;nbsp;&amp;nbsp;&amp;nbsp; |&lt;br&gt;
| avg / total | 0.98&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 0.97&amp;nbsp;&amp;nbsp; | 0.97&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 4181&amp;nbsp;&amp;nbsp;&amp;nbsp; |&lt;/p&gt;

&lt;p&gt;&lt;br&gt;
::: Evaluation report for task: NOMB :::&lt;/p&gt;

&lt;p&gt;all:&lt;br&gt;
&amp;nbsp; accuracy: 0.9797&lt;br&gt;
&amp;nbsp; precision: 0.9809&lt;br&gt;
&amp;nbsp; recall: 0.9733&lt;br&gt;
&amp;nbsp; support: 4181&lt;br&gt;
ambiguous-tokens:&lt;br&gt;
&amp;nbsp; accuracy: 0.7865&lt;br&gt;
&amp;nbsp; precision: 0.7511&lt;br&gt;
&amp;nbsp; recall: 0.6884&lt;br&gt;
&amp;nbsp; support: 192&lt;br&gt;
unknown-tokens:&lt;br&gt;
&amp;nbsp; accuracy: 0.8349&lt;br&gt;
&amp;nbsp; precision: 0.7918&lt;br&gt;
&amp;nbsp; recall: 0.7729&lt;br&gt;
&amp;nbsp; support: 218&lt;/p&gt;

&lt;p&gt;&lt;br&gt;
::: Classification report :::&lt;/p&gt;

&lt;p&gt;| target&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | precision | recall | f1-score | support |&lt;br&gt;
|-------------|-----------|--------|----------|---------|&lt;br&gt;
| NOMB.=p&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 0.98&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 0.95&amp;nbsp;&amp;nbsp; | 0.97&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 545&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; |&lt;br&gt;
| NOMB.=s&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 0.98&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 0.98&amp;nbsp;&amp;nbsp; | 0.98&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 1831&amp;nbsp;&amp;nbsp;&amp;nbsp; |&lt;br&gt;
| NOMB.=x&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 0.98&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 0.99&amp;nbsp;&amp;nbsp; | 0.98&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 1805&amp;nbsp;&amp;nbsp;&amp;nbsp; |&lt;br&gt;
| avg / total | 0.98&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 0.97&amp;nbsp;&amp;nbsp; | 0.98&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 4181&amp;nbsp;&amp;nbsp;&amp;nbsp; |&lt;/p&gt;

&lt;p&gt;::: Evaluation report for task: GENRE :::&lt;/p&gt;

&lt;p&gt;all:&lt;br&gt;
&amp;nbsp; accuracy: 0.9749&lt;br&gt;
&amp;nbsp; precision: 0.969&lt;br&gt;
&amp;nbsp; recall: 0.9685&lt;br&gt;
&amp;nbsp; support: 4181&lt;br&gt;
ambiguous-tokens:&lt;br&gt;
&amp;nbsp; accuracy: 0.9118&lt;br&gt;
&amp;nbsp; precision: 0.9063&lt;br&gt;
&amp;nbsp; recall: 0.9208&lt;br&gt;
&amp;nbsp; support: 465&lt;br&gt;
unknown-tokens:&lt;br&gt;
&amp;nbsp; accuracy: 0.7385&lt;br&gt;
&amp;nbsp; precision: 0.7097&lt;br&gt;
&amp;nbsp; recall: 0.6977&lt;br&gt;
&amp;nbsp; support: 218&lt;/p&gt;

&lt;p&gt;&lt;br&gt;
::: Classification report :::&lt;/p&gt;

&lt;p&gt;| target&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | precision | recall | f1-score | support |&lt;br&gt;
|-------------|-----------|--------|----------|---------|&lt;br&gt;
| GENRE=f&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 0.92&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 0.94&amp;nbsp;&amp;nbsp; | 0.93&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 387&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; |&lt;br&gt;
| GENRE=m&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 0.97&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 0.94&amp;nbsp;&amp;nbsp; | 0.96&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 940&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; |&lt;br&gt;
| GENRE=n&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 1.00&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 1.00&amp;nbsp;&amp;nbsp; | 1.00&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 45&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; |&lt;br&gt;
| GENRE=x&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 0.98&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 0.99&amp;nbsp;&amp;nbsp; | 0.99&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 2809&amp;nbsp;&amp;nbsp;&amp;nbsp; |&lt;br&gt;
| avg / total | 0.97&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 0.97&amp;nbsp;&amp;nbsp; | 0.97&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 4181&amp;nbsp;&amp;nbsp;&amp;nbsp; |&lt;/p&gt;

&lt;p&gt;&lt;br&gt;
::: Evaluation report for task: CAS :::&lt;/p&gt;

&lt;p&gt;all:&lt;br&gt;
&amp;nbsp; accuracy: 0.9983&lt;br&gt;
&amp;nbsp; precision: 0.9957&lt;br&gt;
&amp;nbsp; recall: 0.9901&lt;br&gt;
&amp;nbsp; support: 4181&lt;br&gt;
ambiguous-tokens:&lt;br&gt;
&amp;nbsp; accuracy: 0.9648&lt;br&gt;
&amp;nbsp; precision: 0.9796&lt;br&gt;
&amp;nbsp; recall: 0.9692&lt;br&gt;
&amp;nbsp; support: 199&lt;br&gt;
unknown-tokens:&lt;br&gt;
&amp;nbsp; accuracy: 1.0&lt;br&gt;
&amp;nbsp; precision: 1.0&lt;br&gt;
&amp;nbsp; recall: 1.0&lt;br&gt;
&amp;nbsp; support: 218&lt;/p&gt;

&lt;p&gt;&lt;br&gt;
::: Classification report :::&lt;/p&gt;

&lt;p&gt;| target&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | precision | recall | f1-score | support |&lt;br&gt;
|-------------|-----------|--------|----------|---------|&lt;br&gt;
| CAS=i&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 1.00&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 1.00&amp;nbsp;&amp;nbsp; | 1.00&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 46&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; |&lt;br&gt;
| CAS=n&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 1.00&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 1.00&amp;nbsp;&amp;nbsp; | 1.00&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 190&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; |&lt;br&gt;
| CAS=r&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 0.98&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 0.96&amp;nbsp;&amp;nbsp; | 0.97&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 128&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; |&lt;br&gt;
| CAS=x&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 1.00&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 1.00&amp;nbsp;&amp;nbsp; | 1.00&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 3817&amp;nbsp;&amp;nbsp;&amp;nbsp; |&lt;br&gt;
| avg / total | 1.00&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 0.99&amp;nbsp;&amp;nbsp; | 0.99&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; | 4181&amp;nbsp;&amp;nbsp;&amp;nbsp; |&lt;/p&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;</description>
    <description descriptionType="Other">{"references": ["Cafiero and Camps (2019). Why Moli\u00e8re most likely did write his plays, Science Advances, 27 Nov 2019: Vol. 5, no. 11, eaax5489, DOI: 10.1126/sciadv.aax5489,", "Camps, Gabay, Cl\u00e9rice and Cafiero (to be published). Corpus and Models for Lemmatisation and POS-tagging of Classical French Theatre."]}</description>
  </descriptions>
</resource>
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