Dataset Open Access

FinMeter models

Hämäläinen, Mika; Alnajjar, Khalid

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  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.3473456", 
  "language": "fin", 
  "title": "FinMeter models", 
  "issued": {
    "date-parts": [
  "abstract": "<p>This contains data files needed for FinMeter.</p>\n\n<p>This data is complementary for FinMeter Python library described in:</p>\n\n<p>Mika H&auml;m&auml;l&auml;inen and Khalid Alnajjar (2019).&nbsp;Let&#39;s FACE it. Finnish Poetry Generation with Aesthetics and Framing. In <em>the Proceedings of The 12th International Conference on Natural Language Generation</em>.</p>\n\n<p>&nbsp;</p>\n\n<p>&nbsp;</p>\n\n<p>Sources:</p>\n\n<p>The pretrained vectors for Finnish (es - I know) and English (en) are from&nbsp;E. Grave, P. Bojanowski, P. Gupta, A. Joulin, T. Mikolov,&nbsp;<em><a href=\"\">Learning Word Vectors for 157 Languages</a>&nbsp;.&nbsp;Creative Commons Attribution-Share-Alike License 3.0</em>. See&nbsp;<a href=\"\"></a></p>\n\n<p>The word2vec model trained on the Finnish Internet ParseBank is from&nbsp;Kanerva, Jenna; Luotolahti, Juhani; Laippala, Veronika; Ginter, Filip: Syntactic N-gram Collection from a Large-Scale Corpus of Internet Finnish. Proceedings of the Sixth International Conference Baltic HLT. 2014.&nbsp;<a href=\"\">paper</a>.&nbsp;&nbsp;Creative Commons Attribution-ShareAlike 4.0 International License. See&nbsp;<a href=\"\"></a></p>\n\n<p>The Finnish concreteness data has been&nbsp;automatically translated from&nbsp;Brysbaert, Marc, Amy Beth Warriner, and Victor Kuperman. &quot;<a href=\"\">Concreteness ratings for 40 thousand generally known English word lemmas.</a>&quot;&nbsp;<em>Behavior research methods</em>&nbsp;46.3 (2014): 904-911.&nbsp;Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. see&nbsp;<a href=\"\"></a></p>", 
  "author": [
      "family": "H\u00e4m\u00e4l\u00e4inen, Mika"
      "family": "Alnajjar, Khalid"
  "version": "1.0.0", 
  "type": "dataset", 
  "id": "3473456"
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