Scripts to download pre-trained vectors added

data/embedding/fasttext/get_fasttext_embeddings.bash

+wget -nc https://dl.fbaipublicfiles.com/fasttext/vectors-english/crawl-300d-2M.vec.zip
+unzip crawl-300d-2M.vec.zip
+rm -fr crawl-300d-2M.vec.zip
\ No newline at end of file

data/embedding/glove/2word2vec.py

+from gensim.scripts.glove2word2vec import glove2word2vec
+
+
+if __name__ == '__main__':
+    _ = glove2word2vec('./glove.840B.300d.txt', './glove.840B.300d.w2v.txt')
\ No newline at end of file

data/embedding/glove/get_glove_embeddings.bash

+wget -nc http://nlp.stanford.edu/data/glove.840B.300d.zip
+unzip glove.840B.300d.zip
+rm -fr glove.840B.300d.zip
\ No newline at end of file

data/embedding/word2vec/get_word2vec_embeddings.bash

+wget -c "https://s3.amazonaws.com/dl4j-distribution/GoogleNews-vectors-negative300.bin.gz"
+zcat GoogleNews-vectors-negative300.bin.gz > GoogleNews-vectors-negative300.bin
\ No newline at end of file

evaluation.ipynb

@@ -24,7 +24,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -46,7 +46,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -64,7 +64,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [],
    "source": [