{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Part I: Word embeddings [Supplementary material]"
   ]
  },
  {
   "attachments": {
    "skip-gram.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='skip-gram'></a>\n",
    "## The Skip-Gram Model\n",
    "Let's implement the Skip-Gram model using pytorch and then explore these word representations.\n",
    "\n",
    "**NOTE:** this notebook requires you to install pytorch. https://anaconda.org/pytorch/pytorch\n",
    "\n",
    "![skip-gram.png](attachment:skip-gram.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#! pip install torch"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Lets start with a simple corpus:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "corpus = [\n",
    "    'he is a king',\n",
    "    'she is a queen',\n",
    "    'she is mad',\n",
    "    'she is in love',\n",
    "    'a mountain falls',\n",
    "    'paris is france capital',   \n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def tokenize_corpus(corpus):\n",
    "    tokens = [x.split() for x in corpus]\n",
    "    return tokens"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "tokenized_corpus = tokenize_corpus(corpus)\n",
    "vocabulary = {word for doc in tokenized_corpus for word in doc}\n",
    "word2idx = {w:idx for (idx, w) in enumerate(vocabulary)}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'is': 0,\n",
       " 'paris': 1,\n",
       " 'capital': 2,\n",
       " 'she': 3,\n",
       " 'falls': 4,\n",
       " 'in': 5,\n",
       " 'love': 6,\n",
       " 'france': 7,\n",
       " 'he': 8,\n",
       " 'queen': 9,\n",
       " 'mad': 10,\n",
       " 'mountain': 11,\n",
       " 'king': 12,\n",
       " 'a': 13}"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "word2idx"
   ]
  },
  {
   "attachments": {
    "samples.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We want to build pairs of words that appear inside the same context.\n",
    "![samples.png](attachment:samples.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "def build_training(tokenized_corpus, word2idx, window_size=2):\n",
    "    window_size = 2\n",
    "    idx_pairs = []\n",
    "    \n",
    "    # for each sentence\n",
    "    for sentence in tokenized_corpus:\n",
    "        indices = [word2idx[word] for word in sentence]\n",
    "        # for each word, threated as center word\n",
    "        for center_word_pos in range(len(indices)):\n",
    "            # for each window position\n",
    "            for w in range(-window_size, window_size + 1):\n",
    "                context_word_pos = center_word_pos + w\n",
    "                # make soure not jump out sentence\n",
    "                if  context_word_pos < 0 or \\\n",
    "                    context_word_pos >= len(indices) or \\\n",
    "                    center_word_pos == context_word_pos:\n",
    "                    continue  \n",
    "                context_word_idx = indices[context_word_pos]\n",
    "                idx_pairs.append((indices[center_word_pos], context_word_idx))\n",
    "    return np.array(idx_pairs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "training_pairs = build_training(tokenized_corpus, word2idx)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 8,  0],\n",
       "       [ 8, 13],\n",
       "       [ 0,  8],\n",
       "       [ 0, 13],\n",
       "       [ 0, 12],\n",
       "       [13,  8],\n",
       "       [13,  0],\n",
       "       [13, 12],\n",
       "       [12,  0],\n",
       "       [12, 13],\n",
       "       [ 3,  0],\n",
       "       [ 3, 13],\n",
       "       [ 0,  3],\n",
       "       [ 0, 13],\n",
       "       [ 0,  9],\n",
       "       [13,  3],\n",
       "       [13,  0],\n",
       "       [13,  9],\n",
       "       [ 9,  0],\n",
       "       [ 9, 13],\n",
       "       [ 3,  0],\n",
       "       [ 3, 10],\n",
       "       [ 0,  3],\n",
       "       [ 0, 10],\n",
       "       [10,  3],\n",
       "       [10,  0],\n",
       "       [ 3,  0],\n",
       "       [ 3,  5],\n",
       "       [ 0,  3],\n",
       "       [ 0,  5],\n",
       "       [ 0,  6],\n",
       "       [ 5,  3],\n",
       "       [ 5,  0],\n",
       "       [ 5,  6],\n",
       "       [ 6,  0],\n",
       "       [ 6,  5],\n",
       "       [13, 11],\n",
       "       [13,  4],\n",
       "       [11, 13],\n",
       "       [11,  4],\n",
       "       [ 4, 13],\n",
       "       [ 4, 11],\n",
       "       [ 1,  0],\n",
       "       [ 1,  7],\n",
       "       [ 0,  1],\n",
       "       [ 0,  7],\n",
       "       [ 0,  2],\n",
       "       [ 7,  1],\n",
       "       [ 7,  0],\n",
       "       [ 7,  2],\n",
       "       [ 2,  0],\n",
       "       [ 2,  7]])"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "training_pairs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "from tqdm import tqdm_notebook as tqdm\n",
    "from torch.autograd import Variable\n",
    "import torch.nn.functional as F\n",
    "import torch\n",
    "\n",
    "def get_onehot_vector(word_idx, vocabulary):\n",
    "    x = torch.zeros(len(vocabulary)).float()\n",
    "    x[word_idx] = 1.0\n",
    "    return x\n",
    "\n",
    "def Skip_Gram(training_pairs, vocabulary, embedding_dims=5, learning_rate=0.001, epochs=10):\n",
    "    torch.manual_seed(3)\n",
    "    W1 = Variable(torch.randn(embedding_dims, len(vocabulary)).float(), requires_grad=True)\n",
    "    W2 = Variable(torch.randn(len(vocabulary), embedding_dims).float(), requires_grad=True)\n",
    "    losses = []\n",
    "    for epo in tqdm(range(epochs)):\n",
    "        loss_val = 0\n",
    "        for input_word, target in training_pairs:\n",
    "            x = Variable(get_onehot_vector(input_word, vocabulary)).float()\n",
    "            y_true = Variable(torch.from_numpy(np.array([target])).long())\n",
    "\n",
    "            # Matrix multiplication to obtain the input word embedding\n",
    "            z1 = torch.matmul(W1, x)\n",
    "    \n",
    "            # Matrix multiplication to obtain the z score for each word\n",
    "            z2 = torch.matmul(W2, z1)\n",
    "    \n",
    "            # Apply Log and softmax functions\n",
    "            log_softmax = F.log_softmax(z2, dim=0)\n",
    "            # Compute the negative-log-likelihood loss\n",
    "            loss = F.nll_loss(log_softmax.view(1,-1), y_true)\n",
    "            loss_val += loss.item()\n",
    "            \n",
    "            # compute the gradient in function of the error\n",
    "            loss.backward() \n",
    "            \n",
    "            # Update your embeddings\n",
    "            W1.data -= learning_rate * W1.grad.data\n",
    "            W2.data -= learning_rate * W2.grad.data\n",
    "\n",
    "            W1.grad.data.zero_()\n",
    "            W2.grad.data.zero_()\n",
    "        \n",
    "        losses.append(loss_val/len(training_pairs))\n",
    "    \n",
    "    return W1, W2, losses"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_254748/6876936.py:16: TqdmDeprecationWarning: This function will be removed in tqdm==5.0.0\n",
      "Please use `tqdm.notebook.tqdm` instead of `tqdm.tqdm_notebook`\n",
      "  for epo in tqdm(range(epochs)):\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "71c31996e38542cb9284c0f0a27f5cef",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/1000 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "W1, W2, losses = Skip_Gram(training_pairs, word2idx, epochs=1000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "def plot_loss(loss):\n",
    "    x_axis = [epoch+1 for epoch in range(len(loss))]\n",
    "    plt.plot(x_axis, loss, '-g', linewidth=1, label='Train')\n",
    "    plt.xlabel(\"Epochs\")\n",
    "    plt.ylabel(\"Loss\")\n",
    "    plt.legend()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_loss(losses)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Final Embedding Matrix:\n",
    "Based on the various sources the Skip-Gram model can be implemented in 2 different ways:\n",
    "\n",
    "- With shared parameters, meaning that, W1 and W2 are the same matrix.\n",
    "- Without shared paramenters accross layers, meaning that, in the end, we have two different matrixes with weights. The final matrix W is the average of both matrixes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "W = W1 + torch.t(W2)\n",
    "W = (torch.t(W)/2).clone().detach()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(tensor([-1.5032,  0.5722, -0.2601,  0.4751,  0.0714]),\n",
       " tensor([-1.0277,  0.3649, -0.1252,  0.6154,  0.3178]))"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "W[word2idx[\"she\"]], W[word2idx[\"mad\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[2.9443595]], dtype=float32)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics.pairwise import euclidean_distances\n",
    "euclidean_distances([W[word2idx[\"she\"]].numpy()], [W[word2idx[\"falls\"]].numpy()])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.6063882]], dtype=float32)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "euclidean_distances([W[word2idx[\"she\"]].numpy()], [W[word2idx[\"mad\"]].numpy()])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As you can see from the previous example the vector representing \"she\" and the vector representing \"mad\" are closer then the vector representing \"she\" and \"falls\". This happens because \"she\" and \"falls\" never appear together inside the same context window..."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Exercise:\n",
    "Go back to the Skip-Gram function and change it in order to have only 1 matrix of weights instead of 2.    \n",
    "Run the training again and comment the results.\n",
    "\n",
    "<!---\n",
    "solution:\n",
    "based on two plots you can tell, the training converges faster if you have “shared weights”       \n",
    "-->"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "def Skip_Gram(training_pairs, vocabulary, embedding_dims=5, learning_rate=0.001, epochs=10):\n",
    "    torch.manual_seed(3)\n",
    "    W1 = Variable(torch.randn(embedding_dims, len(vocabulary)).float(), requires_grad=True)\n",
    "    losses = []\n",
    "    for epo in tqdm(range(epochs)):\n",
    "        loss_val = 0\n",
    "        for input_word, target in training_pairs:\n",
    "            x = Variable(get_onehot_vector(input_word, vocabulary)).float()\n",
    "            y_true = Variable(torch.from_numpy(np.array([target])).long())\n",
    "\n",
    "            # Matrix multiplication to obtain the input word embedding\n",
    "            z1 = torch.matmul(W1, x)\n",
    "    \n",
    "            # Matrix multiplication to obtain the z score for each word\n",
    "            z2 = torch.matmul(torch.transpose(W1, 0, 1), z1)\n",
    "    \n",
    "            # Apply Log and softmax functions\n",
    "            log_softmax = F.log_softmax(z2, dim=0)\n",
    "            # Compute the negative-log-likelihood loss\n",
    "            loss = F.nll_loss(log_softmax.view(1,-1), y_true)\n",
    "            loss_val += loss.item()\n",
    "            \n",
    "            # compute the gradient in function of the error\n",
    "            loss.backward() \n",
    "            \n",
    "            # Update your embeddings\n",
    "            W1.data -= learning_rate * W1.grad.data\n",
    "            W2.data -= learning_rate * W2.grad.data\n",
    "\n",
    "            W1.grad.data.zero_()\n",
    "            W2.grad.data.zero_()\n",
    "        \n",
    "        losses.append(loss_val/len(training_pairs))\n",
    "    \n",
    "    return W1, losses"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_254748/2525336912.py:5: TqdmDeprecationWarning: This function will be removed in tqdm==5.0.0\n",
      "Please use `tqdm.notebook.tqdm` instead of `tqdm.tqdm_notebook`\n",
      "  for epo in tqdm(range(epochs)):\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "13461ad6804741e88f2bfe7dbc775cab",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/1000 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "W1, losses = Skip_Gram(training_pairs, word2idx, epochs=1000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_loss(losses)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# W1.T[word2idx[\"she\"]], W1.T[word2idx[\"mad\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# euclidean_distances([W1.T[word2idx[\"she\"]].detach().numpy()], [W1.T[word2idx[\"falls\"]].detach().numpy()])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# euclidean_distances([W1.T[word2idx[\"she\"]].detach().numpy()], [W1.T[word2idx[\"mad\"]].detach().numpy()])"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
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