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--- |
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tags: |
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- text-classification |
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library_name: fasttext |
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widget: |
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- text: "dialectics" |
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example_title: "dialectics" |
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- text: "schizoanalysis" |
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example_title: "schizoanalysis" |
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- text: "praxis" |
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example_title: "praxis" |
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- text: "topicality" |
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example_title: "topicality" |
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--- |
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# debate2vec |
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Word-vectors created from a large corpus of competitive debate evidence, and data extraction / processing scripts |
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#usage |
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``` |
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import fasttext.util |
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ft = fasttext.load_model('debate2vec.bin') |
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ft.get_word_vector('dialectics') |
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``` |
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# Download Link |
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Github won't let me store large files in their repos. |
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* [FastText Vectors Here](https://drive.google.com/file/d/1m-CwPcaIUun4qvg69Hx2gom9dMScuQwS/view?usp=sharing) (~260mb) |
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# About |
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Created from all publically available Cross Examination Competitive debate evidence posted by the community on [Open Evidence](https://openev.debatecoaches.org/) (From 2013-2020) |
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Search through the original evidence by going to [debate.cards](http://debate.cards/) |
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Stats about this corpus: |
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* 222485 unique documents larger than 200 words (DebateSum plus some additional debate docs that weren't well-formed enough for inclusion into DebateSum) |
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* 107555 unique words (showing up more than 10 times in the corpus) |
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* 101 million total words |
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Stats about debate2vec vectors: |
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* 300 dimensions, minimum number of appearances of a word was 10, trained for 100 epochs with lr set to 0.10 using FastText |
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* lowercased (will release cased) |
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* No subword information |
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The corpus includes the following topics |
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* 2013-2014 Cuba/Mexico/Venezuela Economic Engagement |
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* 2014-2015 Oceans |
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* 2015-2016 Domestic Surveillance |
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* 2016-2017 China |
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* 2017-2018 Education |
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* 2018-2019 Immigration |
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* 2019-2020 Reducing Arms Sales |
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Other topics that this word vector model will handle extremely well |
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* Philosophy (Especially Left-Wing / Post-modernist) |
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* Law |
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* Government |
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* Politics |
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Initial release is of fasttext vectors without subword information. Future releases will include fine-tuned GPT-2 and other high end models as my GPU compute allows. |
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# Screenshots |
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