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+++ b/cw/10_CRF_ODPOWIEDZI.ipynb
@@ -0,0 +1,10970 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Podejście softmax z embeddingami na przykładzie NER"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "scrolled": true
+ },
+ "source": [
+ "https://pytorch-crf.readthedocs.io/en/stable/"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "https://www.aclweb.org/anthology/W03-0419.pdf"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/media/kuba/ssdsam/anaconda3/lib/python3.8/site-packages/gensim/similarities/__init__.py:15: UserWarning: The gensim.similarities.levenshtein submodule is disabled, because the optional Levenshtein package is unavailable. Install Levenhstein (e.g. `pip install python-Levenshtein`) to suppress this warning.\n",
+ " warnings.warn(msg)\n"
+ ]
+ }
+ ],
+ "source": [
+ "import numpy as np\n",
+ "import gensim\n",
+ "import torch\n",
+ "import pandas as pd\n",
+ "import seaborn as sns\n",
+ "from sklearn.model_selection import train_test_split\n",
+ "\n",
+ "from datasets import load_dataset\n",
+ "from torchtext.vocab import Vocab\n",
+ "from collections import Counter\n",
+ "\n",
+ "from sklearn.datasets import fetch_20newsgroups\n",
+ "# https://scikit-learn.org/0.19/datasets/twenty_newsgroups.html\n",
+ "\n",
+ "from sklearn.feature_extraction.text import TfidfVectorizer\n",
+ "from sklearn.metrics import accuracy_score\n",
+ "\n",
+ "from tqdm.notebook import tqdm\n",
+ "\n",
+ "import torch\n",
+ "from torchcrf import CRF"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {
+ "scrolled": false
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "Reusing dataset conll2003 (/home/kuba/.cache/huggingface/datasets/conll2003/conll2003/1.0.0/40e7cb6bcc374f7c349c83acd1e9352a4f09474eb691f64f364ee62eb65d0ca6)\n"
+ ]
+ }
+ ],
+ "source": [
+ "dataset = load_dataset(\"conll2003\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def build_vocab(dataset):\n",
+ " counter = Counter()\n",
+ " for document in dataset:\n",
+ " counter.update(document)\n",
+ " return Vocab(counter, specials=['', '', '', ''])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "vocab = build_vocab(dataset['train']['tokens'])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {
+ "scrolled": true
+ },
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "[['EU', 'rejects', 'German', 'call', 'to', 'boycott', 'British', 'lamb', '.'],\n",
+ " ['Peter', 'Blackburn'],\n",
+ " ['BRUSSELS', '1996-08-22'],\n",
+ " ['The',\n",
+ " 'European',\n",
+ " 'Commission',\n",
+ " 'said',\n",
+ " 'on',\n",
+ " 'Thursday',\n",
+ " 'it',\n",
+ " 'disagreed',\n",
+ " 'with',\n",
+ " 'German',\n",
+ " 'advice',\n",
+ " 'to',\n",
+ " 'consumers',\n",
+ " 'to',\n",
+ " 'shun',\n",
+ " 'British',\n",
+ " 'lamb',\n",
+ " 'until',\n",
+ " 'scientists',\n",
+ " 'determine',\n",
+ " 'whether',\n",
+ " 'mad',\n",
+ " 'cow',\n",
+ " 'disease',\n",
+ " 'can',\n",
+ " 'be',\n",
+ " 'transmitted',\n",
+ " 'to',\n",
+ " 'sheep',\n",
+ " '.'],\n",
+ " ['Germany',\n",
+ " \"'s\",\n",
+ " 'representative',\n",
+ " 'to',\n",
+ " 'the',\n",
+ " 'European',\n",
+ " 'Union',\n",
+ " \"'s\",\n",
+ " 'veterinary',\n",
+ " 'committee',\n",
+ " 'Werner',\n",
+ " 'Zwingmann',\n",
+ " 'said',\n",
+ " 'on',\n",
+ " 'Wednesday',\n",
+ " 'consumers',\n",
+ " 'should',\n",
+ " 'buy',\n",
+ " 'sheepmeat',\n",
+ " 'from',\n",
+ " 'countries',\n",
+ " 'other',\n",
+ " 'than',\n",
+ " 'Britain',\n",
+ " 'until',\n",
+ " 'the',\n",
+ " 'scientific',\n",
+ " 'advice',\n",
+ " 'was',\n",
+ " 'clearer',\n",
+ " '.'],\n",
+ " ['\"',\n",
+ " 'We',\n",
+ " 'do',\n",
+ " \"n't\",\n",
+ " 'support',\n",
+ " 'any',\n",
+ " 'such',\n",
+ " 'recommendation',\n",
+ " 'because',\n",
+ " 'we',\n",
+ " 'do',\n",
+ " \"n't\",\n",
+ " 'see',\n",
+ " 'any',\n",
+ " 'grounds',\n",
+ " 'for',\n",
+ " 'it',\n",
+ " ',',\n",
+ " '\"',\n",
+ " 'the',\n",
+ " 'Commission',\n",
+ " \"'s\",\n",
+ " 'chief',\n",
+ " 'spokesman',\n",
+ " 'Nikolaus',\n",
+ " 'van',\n",
+ " 'der',\n",
+ " 'Pas',\n",
+ " 'told',\n",
+ " 'a',\n",
+ " 'news',\n",
+ " 'briefing',\n",
+ " '.'],\n",
+ " ['He',\n",
+ " 'said',\n",
+ " 'further',\n",
+ " 'scientific',\n",
+ " 'study',\n",
+ " 'was',\n",
+ " 'required',\n",
+ " 'and',\n",
+ " 'if',\n",
+ " 'it',\n",
+ " 'was',\n",
+ " 'found',\n",
+ " 'that',\n",
+ " 'action',\n",
+ " 'was',\n",
+ " 'needed',\n",
+ " 'it',\n",
+ " 'should',\n",
+ " 'be',\n",
+ " 'taken',\n",
+ " 'by',\n",
+ " 'the',\n",
+ " 'European',\n",
+ " 'Union',\n",
+ " '.'],\n",
+ " ['He',\n",
+ " 'said',\n",
+ " 'a',\n",
+ " 'proposal',\n",
+ " 'last',\n",
+ " 'month',\n",
+ " 'by',\n",
+ " 'EU',\n",
+ " 'Farm',\n",
+ " 'Commissioner',\n",
+ " 'Franz',\n",
+ " 'Fischler',\n",
+ " 'to',\n",
+ " 'ban',\n",
+ " 'sheep',\n",
+ " 'brains',\n",
+ " ',',\n",
+ " 'spleens',\n",
+ " 'and',\n",
+ " 'spinal',\n",
+ " 'cords',\n",
+ " 'from',\n",
+ " 'the',\n",
+ " 'human',\n",
+ " 'and',\n",
+ " 'animal',\n",
+ " 'food',\n",
+ " 'chains',\n",
+ " 'was',\n",
+ " 'a',\n",
+ " 'highly',\n",
+ " 'specific',\n",
+ " 'and',\n",
+ " 'precautionary',\n",
+ " 'move',\n",
+ " 'to',\n",
+ " 'protect',\n",
+ " 'human',\n",
+ " 'health',\n",
+ " '.'],\n",
+ " ['Fischler',\n",
+ " 'proposed',\n",
+ " 'EU-wide',\n",
+ " 'measures',\n",
+ " 'after',\n",
+ " 'reports',\n",
+ " 'from',\n",
+ " 'Britain',\n",
+ " 'and',\n",
+ " 'France',\n",
+ " 'that',\n",
+ " 'under',\n",
+ " 'laboratory',\n",
+ " 'conditions',\n",
+ " 'sheep',\n",
+ " 'could',\n",
+ " 'contract',\n",
+ " 'Bovine',\n",
+ " 'Spongiform',\n",
+ " 'Encephalopathy',\n",
+ " '(',\n",
+ " 'BSE',\n",
+ " ')',\n",
+ " '--',\n",
+ " 'mad',\n",
+ " 'cow',\n",
+ " 'disease',\n",
+ " '.'],\n",
+ " ['But',\n",
+ " 'Fischler',\n",
+ " 'agreed',\n",
+ " 'to',\n",
+ " 'review',\n",
+ " 'his',\n",
+ " 'proposal',\n",
+ " 'after',\n",
+ " 'the',\n",
+ " 'EU',\n",
+ " \"'s\",\n",
+ " 'standing',\n",
+ " 'veterinary',\n",
+ " 'committee',\n",
+ " ',',\n",
+ " 'mational',\n",
+ " 'animal',\n",
+ " 'health',\n",
+ " 'officials',\n",
+ " ',',\n",
+ " 'questioned',\n",
+ " 'if',\n",
+ " 'such',\n",
+ " 'action',\n",
+ " 'was',\n",
+ " 'justified',\n",
+ " 'as',\n",
+ " 'there',\n",
+ " 'was',\n",
+ " 'only',\n",
+ " 'a',\n",
+ " 'slight',\n",
+ " 'risk',\n",
+ " 'to',\n",
+ " 'human',\n",
+ " 'health',\n",
+ " '.'],\n",
+ " ['Spanish',\n",
+ " 'Farm',\n",
+ " 'Minister',\n",
+ " 'Loyola',\n",
+ " 'de',\n",
+ " 'Palacio',\n",
+ " 'had',\n",
+ " 'earlier',\n",
+ " 'accused',\n",
+ " 'Fischler',\n",
+ " 'at',\n",
+ " 'an',\n",
+ " 'EU',\n",
+ " 'farm',\n",
+ " 'ministers',\n",
+ " \"'\",\n",
+ " 'meeting',\n",
+ " 'of',\n",
+ " 'causing',\n",
+ " 'unjustified',\n",
+ " 'alarm',\n",
+ " 'through',\n",
+ " '\"',\n",
+ " 'dangerous',\n",
+ " 'generalisation',\n",
+ " '.',\n",
+ " '\"'],\n",
+ " ['.'],\n",
+ " ['Only',\n",
+ " 'France',\n",
+ " 'and',\n",
+ " 'Britain',\n",
+ " 'backed',\n",
+ " 'Fischler',\n",
+ " \"'s\",\n",
+ " 'proposal',\n",
+ " '.'],\n",
+ " ['The',\n",
+ " 'EU',\n",
+ " \"'s\",\n",
+ " 'scientific',\n",
+ " 'veterinary',\n",
+ " 'and',\n",
+ " 'multidisciplinary',\n",
+ " 'committees',\n",
+ " 'are',\n",
+ " 'due',\n",
+ " 'to',\n",
+ " 're-examine',\n",
+ " 'the',\n",
+ " 'issue',\n",
+ " 'early',\n",
+ " 'next',\n",
+ " 'month',\n",
+ " 'and',\n",
+ " 'make',\n",
+ " 'recommendations',\n",
+ " 'to',\n",
+ " 'the',\n",
+ " 'senior',\n",
+ " 'veterinary',\n",
+ " 'officials',\n",
+ " '.'],\n",
+ " ['Sheep',\n",
+ " 'have',\n",
+ " 'long',\n",
+ " 'been',\n",
+ " 'known',\n",
+ " 'to',\n",
+ " 'contract',\n",
+ " 'scrapie',\n",
+ " ',',\n",
+ " 'a',\n",
+ " 'brain-wasting',\n",
+ " 'disease',\n",
+ " 'similar',\n",
+ " 'to',\n",
+ " 'BSE',\n",
+ " 'which',\n",
+ " 'is',\n",
+ " 'believed',\n",
+ " 'to',\n",
+ " 'have',\n",
+ " 'been',\n",
+ " 'transferred',\n",
+ " 'to',\n",
+ " 'cattle',\n",
+ " 'through',\n",
+ " 'feed',\n",
+ " 'containing',\n",
+ " 'animal',\n",
+ " 'waste',\n",
+ " '.'],\n",
+ " ['British',\n",
+ " 'farmers',\n",
+ " 'denied',\n",
+ " 'on',\n",
+ " 'Thursday',\n",
+ " 'there',\n",
+ " 'was',\n",
+ " 'any',\n",
+ " 'danger',\n",
+ " 'to',\n",
+ " 'human',\n",
+ " 'health',\n",
+ " 'from',\n",
+ " 'their',\n",
+ " 'sheep',\n",
+ " ',',\n",
+ " 'but',\n",
+ " 'expressed',\n",
+ " 'concern',\n",
+ " 'that',\n",
+ " 'German',\n",
+ " 'government',\n",
+ " 'advice',\n",
+ " 'to',\n",
+ " 'consumers',\n",
+ " 'to',\n",
+ " 'avoid',\n",
+ " 'British',\n",
+ " 'lamb',\n",
+ " 'might',\n",
+ " 'influence',\n",
+ " 'consumers',\n",
+ " 'across',\n",
+ " 'Europe',\n",
+ " '.'],\n",
+ " ['\"',\n",
+ " 'What',\n",
+ " 'we',\n",
+ " 'have',\n",
+ " 'to',\n",
+ " 'be',\n",
+ " 'extremely',\n",
+ " 'careful',\n",
+ " 'of',\n",
+ " 'is',\n",
+ " 'how',\n",
+ " 'other',\n",
+ " 'countries',\n",
+ " 'are',\n",
+ " 'going',\n",
+ " 'to',\n",
+ " 'take',\n",
+ " 'Germany',\n",
+ " \"'s\",\n",
+ " 'lead',\n",
+ " ',',\n",
+ " '\"',\n",
+ " 'Welsh',\n",
+ " 'National',\n",
+ " 'Farmers',\n",
+ " \"'\",\n",
+ " 'Union',\n",
+ " '(',\n",
+ " 'NFU',\n",
+ " ')',\n",
+ " 'chairman',\n",
+ " 'John',\n",
+ " 'Lloyd',\n",
+ " 'Jones',\n",
+ " 'said',\n",
+ " 'on',\n",
+ " 'BBC',\n",
+ " 'radio',\n",
+ " '.'],\n",
+ " ['Bonn',\n",
+ " 'has',\n",
+ " 'led',\n",
+ " 'efforts',\n",
+ " 'to',\n",
+ " 'protect',\n",
+ " 'public',\n",
+ " 'health',\n",
+ " 'after',\n",
+ " 'consumer',\n",
+ " 'confidence',\n",
+ " 'collapsed',\n",
+ " 'in',\n",
+ " 'March',\n",
+ " 'after',\n",
+ " 'a',\n",
+ " 'British',\n",
+ " 'report',\n",
+ " 'suggested',\n",
+ " 'humans',\n",
+ " 'could',\n",
+ " 'contract',\n",
+ " 'an',\n",
+ " 'illness',\n",
+ " 'similar',\n",
+ " 'to',\n",
+ " 'mad',\n",
+ " 'cow',\n",
+ " 'disease',\n",
+ " 'by',\n",
+ " 'eating',\n",
+ " 'contaminated',\n",
+ " 'beef',\n",
+ " '.'],\n",
+ " ['Germany',\n",
+ " 'imported',\n",
+ " '47,600',\n",
+ " 'sheep',\n",
+ " 'from',\n",
+ " 'Britain',\n",
+ " 'last',\n",
+ " 'year',\n",
+ " ',',\n",
+ " 'nearly',\n",
+ " 'half',\n",
+ " 'of',\n",
+ " 'total',\n",
+ " 'imports',\n",
+ " '.'],\n",
+ " ['It',\n",
+ " 'brought',\n",
+ " 'in',\n",
+ " '4,275',\n",
+ " 'tonnes',\n",
+ " 'of',\n",
+ " 'British',\n",
+ " 'mutton',\n",
+ " ',',\n",
+ " 'some',\n",
+ " '10',\n",
+ " 'percent',\n",
+ " 'of',\n",
+ " 'overall',\n",
+ " 'imports',\n",
+ " '.'],\n",
+ " ['Rare',\n",
+ " 'Hendrix',\n",
+ " 'song',\n",
+ " 'draft',\n",
+ " 'sells',\n",
+ " 'for',\n",
+ " 'almost',\n",
+ " '$',\n",
+ " '17,000',\n",
+ " '.'],\n",
+ " ['LONDON', '1996-08-22'],\n",
+ " ['A',\n",
+ " 'rare',\n",
+ " 'early',\n",
+ " 'handwritten',\n",
+ " 'draft',\n",
+ " 'of',\n",
+ " 'a',\n",
+ " 'song',\n",
+ " 'by',\n",
+ " 'U.S.',\n",
+ " 'guitar',\n",
+ " 'legend',\n",
+ " 'Jimi',\n",
+ " 'Hendrix',\n",
+ " 'was',\n",
+ " 'sold',\n",
+ " 'for',\n",
+ " 'almost',\n",
+ " '$',\n",
+ " '17,000',\n",
+ " 'on',\n",
+ " 'Thursday',\n",
+ " 'at',\n",
+ " 'an',\n",
+ " 'auction',\n",
+ " 'of',\n",
+ " 'some',\n",
+ " 'of',\n",
+ " 'the',\n",
+ " 'late',\n",
+ " 'musician',\n",
+ " \"'s\",\n",
+ " 'favourite',\n",
+ " 'possessions',\n",
+ " '.'],\n",
+ " ['A',\n",
+ " 'Florida',\n",
+ " 'restaurant',\n",
+ " 'paid',\n",
+ " '10,925',\n",
+ " 'pounds',\n",
+ " '(',\n",
+ " '$',\n",
+ " '16,935',\n",
+ " ')',\n",
+ " 'for',\n",
+ " 'the',\n",
+ " 'draft',\n",
+ " 'of',\n",
+ " '\"',\n",
+ " 'Ai',\n",
+ " \"n't\",\n",
+ " 'no',\n",
+ " 'telling',\n",
+ " '\"',\n",
+ " ',',\n",
+ " 'which',\n",
+ " 'Hendrix',\n",
+ " 'penned',\n",
+ " 'on',\n",
+ " 'a',\n",
+ " 'piece',\n",
+ " 'of',\n",
+ " 'London',\n",
+ " 'hotel',\n",
+ " 'stationery',\n",
+ " 'in',\n",
+ " 'late',\n",
+ " '1966',\n",
+ " '.'],\n",
+ " ['At',\n",
+ " 'the',\n",
+ " 'end',\n",
+ " 'of',\n",
+ " 'a',\n",
+ " 'January',\n",
+ " '1967',\n",
+ " 'concert',\n",
+ " 'in',\n",
+ " 'the',\n",
+ " 'English',\n",
+ " 'city',\n",
+ " 'of',\n",
+ " 'Nottingham',\n",
+ " 'he',\n",
+ " 'threw',\n",
+ " 'the',\n",
+ " 'sheet',\n",
+ " 'of',\n",
+ " 'paper',\n",
+ " 'into',\n",
+ " 'the',\n",
+ " 'audience',\n",
+ " ',',\n",
+ " 'where',\n",
+ " 'it',\n",
+ " 'was',\n",
+ " 'retrieved',\n",
+ " 'by',\n",
+ " 'a',\n",
+ " 'fan',\n",
+ " '.'],\n",
+ " ['Buyers',\n",
+ " 'also',\n",
+ " 'snapped',\n",
+ " 'up',\n",
+ " '16',\n",
+ " 'other',\n",
+ " 'items',\n",
+ " 'that',\n",
+ " 'were',\n",
+ " 'put',\n",
+ " 'up',\n",
+ " 'for',\n",
+ " 'auction',\n",
+ " 'by',\n",
+ " 'Hendrix',\n",
+ " \"'s\",\n",
+ " 'former',\n",
+ " 'girlfriend',\n",
+ " 'Kathy',\n",
+ " 'Etchingham',\n",
+ " ',',\n",
+ " 'who',\n",
+ " 'lived',\n",
+ " 'with',\n",
+ " 'him',\n",
+ " 'from',\n",
+ " '1966',\n",
+ " 'to',\n",
+ " '1969',\n",
+ " '.'],\n",
+ " ['They',\n",
+ " 'included',\n",
+ " 'a',\n",
+ " 'black',\n",
+ " 'lacquer',\n",
+ " 'and',\n",
+ " 'mother',\n",
+ " 'of',\n",
+ " 'pearl',\n",
+ " 'inlaid',\n",
+ " 'box',\n",
+ " 'used',\n",
+ " 'by',\n",
+ " 'Hendrix',\n",
+ " 'to',\n",
+ " 'store',\n",
+ " 'his',\n",
+ " 'drugs',\n",
+ " ',',\n",
+ " 'which',\n",
+ " 'an',\n",
+ " 'anonymous',\n",
+ " 'Australian',\n",
+ " 'purchaser',\n",
+ " 'bought',\n",
+ " 'for',\n",
+ " '5,060',\n",
+ " 'pounds',\n",
+ " '(',\n",
+ " '$',\n",
+ " '7,845',\n",
+ " ')',\n",
+ " '.'],\n",
+ " ['The',\n",
+ " 'guitarist',\n",
+ " 'died',\n",
+ " 'of',\n",
+ " 'a',\n",
+ " 'drugs',\n",
+ " 'overdose',\n",
+ " 'in',\n",
+ " '1970',\n",
+ " 'aged',\n",
+ " '27',\n",
+ " '.'],\n",
+ " ['China', 'says', 'Taiwan', 'spoils', 'atmosphere', 'for', 'talks', '.'],\n",
+ " ['BEIJING', '1996-08-22'],\n",
+ " ['China',\n",
+ " 'on',\n",
+ " 'Thursday',\n",
+ " 'accused',\n",
+ " 'Taipei',\n",
+ " 'of',\n",
+ " 'spoiling',\n",
+ " 'the',\n",
+ " 'atmosphere',\n",
+ " 'for',\n",
+ " 'a',\n",
+ " 'resumption',\n",
+ " 'of',\n",
+ " 'talks',\n",
+ " 'across',\n",
+ " 'the',\n",
+ " 'Taiwan',\n",
+ " 'Strait',\n",
+ " 'with',\n",
+ " 'a',\n",
+ " 'visit',\n",
+ " 'to',\n",
+ " 'Ukraine',\n",
+ " 'by',\n",
+ " 'Taiwanese',\n",
+ " 'Vice',\n",
+ " 'President',\n",
+ " 'Lien',\n",
+ " 'Chan',\n",
+ " 'this',\n",
+ " 'week',\n",
+ " 'that',\n",
+ " 'infuriated',\n",
+ " 'Beijing',\n",
+ " '.'],\n",
+ " ['Speaking',\n",
+ " 'only',\n",
+ " 'hours',\n",
+ " 'after',\n",
+ " 'Chinese',\n",
+ " 'state',\n",
+ " 'media',\n",
+ " 'said',\n",
+ " 'the',\n",
+ " 'time',\n",
+ " 'was',\n",
+ " 'right',\n",
+ " 'to',\n",
+ " 'engage',\n",
+ " 'in',\n",
+ " 'political',\n",
+ " 'talks',\n",
+ " 'with',\n",
+ " 'Taiwan',\n",
+ " ',',\n",
+ " 'Foreign',\n",
+ " 'Ministry',\n",
+ " 'spokesman',\n",
+ " 'Shen',\n",
+ " 'Guofang',\n",
+ " 'told',\n",
+ " 'Reuters',\n",
+ " ':',\n",
+ " '\"',\n",
+ " 'The',\n",
+ " 'necessary',\n",
+ " 'atmosphere',\n",
+ " 'for',\n",
+ " 'the',\n",
+ " 'opening',\n",
+ " 'of',\n",
+ " 'the',\n",
+ " 'talks',\n",
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+ " 'Esposito',\n",
+ " '(',\n",
+ " 'Grasshoppers',\n",
+ " ')',\n",
+ " ',',\n",
+ " 'Sebastien',\n",
+ " 'Fournier',\n",
+ " '(',\n",
+ " 'Stuttgart',\n",
+ " ')',\n",
+ " ',',\n",
+ " 'Christophe',\n",
+ " 'Ohrel',\n",
+ " '(',\n",
+ " 'Lausanne',\n",
+ " ')',\n",
+ " ',',\n",
+ " 'Patrick',\n",
+ " 'Sylvestre',\n",
+ " '(',\n",
+ " 'Sion',\n",
+ " ')',\n",
+ " ',',\n",
+ " 'David',\n",
+ " 'Sesa',\n",
+ " '(',\n",
+ " 'Servette',\n",
+ " ')',\n",
+ " ',',\n",
+ " 'Ciriaco',\n",
+ " 'Sforza',\n",
+ " '(',\n",
+ " 'Inter',\n",
+ " 'Milan',\n",
+ " ')',\n",
+ " 'Murat',\n",
+ " 'Yakin',\n",
+ " '(',\n",
+ " 'Grasshoppers',\n",
+ " ')',\n",
+ " '.'],\n",
+ " ['Strikers',\n",
+ " '-',\n",
+ " 'Kubilay',\n",
+ " 'Turkyilmaz',\n",
+ " '(',\n",
+ " 'Grasshoppers',\n",
+ " ')',\n",
+ " ',',\n",
+ " 'Adrian',\n",
+ " 'Knup',\n",
+ " '(',\n",
+ " 'Galatasaray',\n",
+ " ')',\n",
+ " ',',\n",
+ " 'Christophe',\n",
+ " 'Bonvin',\n",
+ " '(',\n",
+ " 'Sion',\n",
+ " ')',\n",
+ " ',',\n",
+ " 'Stephane',\n",
+ " 'Chapuisat',\n",
+ " '(',\n",
+ " 'Borussia',\n",
+ " 'Dortmund',\n",
+ " ')',\n",
+ " '.'],\n",
+ " ['ATHLETICS',\n",
+ " '-',\n",
+ " 'IT',\n",
+ " \"'S\",\n",
+ " 'A',\n",
+ " 'RECORD',\n",
+ " '-',\n",
+ " '40,000',\n",
+ " 'BEERS',\n",
+ " 'ON',\n",
+ " 'THE',\n",
+ " 'HOUSE',\n",
+ " '.'],\n",
+ " ['BRUSSELS', '1996-08-22'],\n",
+ " ['Spectators',\n",
+ " 'at',\n",
+ " 'Friday',\n",
+ " \"'s\",\n",
+ " 'Brussels',\n",
+ " 'grand',\n",
+ " 'prix',\n",
+ " 'meeting',\n",
+ " 'have',\n",
+ " 'an',\n",
+ " 'extra',\n",
+ " 'incentive',\n",
+ " 'to',\n",
+ " 'cheer',\n",
+ " 'on',\n",
+ " 'the',\n",
+ " 'athletes',\n",
+ " 'to',\n",
+ " 'world',\n",
+ " 'record',\n",
+ " 'performances',\n",
+ " '--',\n",
+ " 'a',\n",
+ " 'free',\n",
+ " 'glass',\n",
+ " 'of',\n",
+ " 'beer',\n",
+ " '.'],\n",
+ " ['A',\n",
+ " 'Belgian',\n",
+ " 'brewery',\n",
+ " 'has',\n",
+ " 'offered',\n",
+ " 'to',\n",
+ " 'pay',\n",
+ " 'for',\n",
+ " 'a',\n",
+ " 'free',\n",
+ " 'round',\n",
+ " 'of',\n",
+ " 'drinks',\n",
+ " 'for',\n",
+ " 'all',\n",
+ " 'of',\n",
+ " 'the',\n",
+ " '40,000',\n",
+ " 'crowd',\n",
+ " 'if',\n",
+ " 'a',\n",
+ " 'world',\n",
+ " 'record',\n",
+ " 'goes',\n",
+ " 'at',\n",
+ " 'the',\n",
+ " 'meeting',\n",
+ " ',',\n",
+ " 'organisers',\n",
+ " 'said',\n",
+ " 'on',\n",
+ " 'Thursday',\n",
+ " '.'],\n",
+ " ['It',\n",
+ " 'could',\n",
+ " 'be',\n",
+ " 'one',\n",
+ " 'of',\n",
+ " 'the',\n",
+ " 'most',\n",
+ " 'expensive',\n",
+ " 'rounds',\n",
+ " 'of',\n",
+ " 'drinks',\n",
+ " 'ever',\n",
+ " '.'],\n",
+ " ['The', 'meeting', 'is', 'sold', 'out', 'already', '.'],\n",
+ " ['Two',\n",
+ " 'world',\n",
+ " 'records',\n",
+ " 'are',\n",
+ " 'in',\n",
+ " 'serious',\n",
+ " 'danger',\n",
+ " 'of',\n",
+ " 'being',\n",
+ " 'broken',\n",
+ " 'at',\n",
+ " 'the',\n",
+ " 'meeting',\n",
+ " '--',\n",
+ " 'the',\n",
+ " 'women',\n",
+ " \"'s\",\n",
+ " '1,000',\n",
+ " 'metres',\n",
+ " 'and',\n",
+ " 'the',\n",
+ " 'men',\n",
+ " \"'s\",\n",
+ " '3,000',\n",
+ " 'metres',\n",
+ " '.'],\n",
+ " ['GOLF', '-', 'GERMAN', 'OPEN', 'FIRST', 'ROUND', 'SCORES', '.'],\n",
+ " ['STUTTGART', ',', 'Germany', '1996-08-22'],\n",
+ " ['Leading', 'first', 'round'],\n",
+ " ['scores',\n",
+ " 'in',\n",
+ " 'the',\n",
+ " 'German',\n",
+ " 'Open',\n",
+ " 'golf',\n",
+ " 'championship',\n",
+ " 'on',\n",
+ " 'Thursday',\n",
+ " '(',\n",
+ " 'Britain'],\n",
+ " ['unless', 'stated', ')', ':'],\n",
+ " ['62', 'Paul', 'Broadhurst'],\n",
+ " ['63', 'Raymond', 'Russell'],\n",
+ " ['64',\n",
+ " 'David',\n",
+ " 'J.',\n",
+ " 'Russell',\n",
+ " ',',\n",
+ " 'Michael',\n",
+ " 'Campbell',\n",
+ " '(',\n",
+ " 'New',\n",
+ " 'Zealand',\n",
+ " ')',\n",
+ " ',',\n",
+ " 'Ian'],\n",
+ " ['Woosnam',\n",
+ " ',',\n",
+ " 'Bernhard',\n",
+ " 'Langer',\n",
+ " '(',\n",
+ " 'Germany',\n",
+ " ')',\n",
+ " ',',\n",
+ " 'Ronan',\n",
+ " 'Rafferty',\n",
+ " ',',\n",
+ " 'Mats'],\n",
+ " ['Lanner', '(', 'Sweden', ')', ',', 'Wayne', 'Riley', '(', 'Australia', ')'],\n",
+ " ['65',\n",
+ " 'Eamonn',\n",
+ " 'Darcy',\n",
+ " '(',\n",
+ " 'Ireland',\n",
+ " ')',\n",
+ " ',',\n",
+ " 'Per',\n",
+ " 'Nyman',\n",
+ " '(',\n",
+ " 'Sweden',\n",
+ " ')',\n",
+ " ',',\n",
+ " 'Russell',\n",
+ " 'Claydon',\n",
+ " ','],\n",
+ " ['Mark',\n",
+ " 'Roe',\n",
+ " ',',\n",
+ " 'Retief',\n",
+ " 'Goosen',\n",
+ " '(',\n",
+ " 'South',\n",
+ " 'Africa',\n",
+ " ')',\n",
+ " ',',\n",
+ " 'Carl',\n",
+ " 'Suneson'],\n",
+ " ['66',\n",
+ " 'Stephen',\n",
+ " 'Field',\n",
+ " ',',\n",
+ " 'Paul',\n",
+ " 'Lawrie',\n",
+ " ',',\n",
+ " 'Ian',\n",
+ " 'Pyman',\n",
+ " ',',\n",
+ " 'Max',\n",
+ " 'Anglert'],\n",
+ " ['(',\n",
+ " 'Sweden',\n",
+ " ')',\n",
+ " ',',\n",
+ " 'Miles',\n",
+ " 'Tunnicliff',\n",
+ " ',',\n",
+ " 'Christian',\n",
+ " 'Cevaer',\n",
+ " '(',\n",
+ " 'France',\n",
+ " ')',\n",
+ " ','],\n",
+ " ['Des',\n",
+ " 'Smyth',\n",
+ " '(',\n",
+ " 'Ireland',\n",
+ " ')',\n",
+ " ',',\n",
+ " 'David',\n",
+ " 'Carter',\n",
+ " ',',\n",
+ " 'Lee',\n",
+ " 'Westwood',\n",
+ " ',',\n",
+ " 'Greg'],\n",
+ " ['Chalmers',\n",
+ " '(',\n",
+ " 'Australia',\n",
+ " ')',\n",
+ " ',',\n",
+ " 'Miguel',\n",
+ " 'Angel',\n",
+ " 'Martin',\n",
+ " '(',\n",
+ " 'Spain',\n",
+ " ')',\n",
+ " ','],\n",
+ " ['Thomas',\n",
+ " 'Bjorn',\n",
+ " '(',\n",
+ " 'Denmark',\n",
+ " ')',\n",
+ " ',',\n",
+ " 'Fernando',\n",
+ " 'Roca',\n",
+ " '(',\n",
+ " 'Spain',\n",
+ " ')',\n",
+ " ',',\n",
+ " 'Derrick'],\n",
+ " ['Cooper'],\n",
+ " ['67',\n",
+ " 'Jeff',\n",
+ " 'Hawksworth',\n",
+ " ',',\n",
+ " 'Padraig',\n",
+ " 'Harrington',\n",
+ " '(',\n",
+ " 'Ireland',\n",
+ " ')',\n",
+ " ',',\n",
+ " 'Michael'],\n",
+ " ['Welch',\n",
+ " ',',\n",
+ " 'Thomas',\n",
+ " 'Gogele',\n",
+ " '(',\n",
+ " 'Germany',\n",
+ " ')',\n",
+ " ',',\n",
+ " 'Paul',\n",
+ " 'McGinley',\n",
+ " '(',\n",
+ " 'Ireland',\n",
+ " ')',\n",
+ " ','],\n",
+ " ['Gary',\n",
+ " 'Orr',\n",
+ " ',',\n",
+ " 'Jose-Maria',\n",
+ " 'Canizares',\n",
+ " '(',\n",
+ " 'Spain',\n",
+ " ')',\n",
+ " ',',\n",
+ " 'Michael',\n",
+ " 'Jonzon'],\n",
+ " ['(',\n",
+ " 'Sweden',\n",
+ " ')',\n",
+ " ',',\n",
+ " 'Paul',\n",
+ " 'Eales',\n",
+ " ',',\n",
+ " 'David',\n",
+ " 'Williams',\n",
+ " ',',\n",
+ " 'Andrew',\n",
+ " 'Coltart',\n",
+ " ','],\n",
+ " ['Jonathan',\n",
+ " 'Lomas',\n",
+ " ',',\n",
+ " 'Jose',\n",
+ " 'Rivero',\n",
+ " '(',\n",
+ " 'Spain',\n",
+ " ')',\n",
+ " ',',\n",
+ " 'Robert',\n",
+ " 'Karlsson'],\n",
+ " ['(',\n",
+ " 'Sweden',\n",
+ " ')',\n",
+ " ',',\n",
+ " 'Marcus',\n",
+ " 'Wills',\n",
+ " ',',\n",
+ " 'Pedro',\n",
+ " 'Linhart',\n",
+ " '(',\n",
+ " 'Spain',\n",
+ " ')',\n",
+ " ',',\n",
+ " 'Jamie'],\n",
+ " ['Spence',\n",
+ " ',',\n",
+ " 'Terry',\n",
+ " 'Price',\n",
+ " '(',\n",
+ " 'Australia',\n",
+ " ')',\n",
+ " ',',\n",
+ " 'Juan',\n",
+ " 'Carlos',\n",
+ " 'Pinero',\n",
+ " '(',\n",
+ " 'Spain',\n",
+ " ')',\n",
+ " ','],\n",
+ " ['Mark', 'Mouland'],\n",
+ " ['SOCCER',\n",
+ " '-',\n",
+ " 'UEFA',\n",
+ " 'REWARDS',\n",
+ " 'THREE',\n",
+ " 'COUNTRIES',\n",
+ " 'FOR',\n",
+ " 'FAIR',\n",
+ " 'PLAY',\n",
+ " '.'],\n",
+ " ['GENEVA', '1996-08-22'],\n",
+ " ['Norway',\n",
+ " ',',\n",
+ " 'England',\n",
+ " 'and',\n",
+ " 'Sweden',\n",
+ " 'were',\n",
+ " 'rewarded',\n",
+ " 'for',\n",
+ " 'their',\n",
+ " 'fair',\n",
+ " 'play',\n",
+ " 'on',\n",
+ " 'Thursday',\n",
+ " 'with',\n",
+ " 'an',\n",
+ " 'additional',\n",
+ " 'place',\n",
+ " 'in',\n",
+ " 'the',\n",
+ " '1997-98',\n",
+ " 'UEFA',\n",
+ " 'Cup',\n",
+ " 'competition',\n",
+ " '.'],\n",
+ " ['Norway',\n",
+ " 'headed',\n",
+ " 'the',\n",
+ " 'UEFA',\n",
+ " 'Fair',\n",
+ " 'Play',\n",
+ " 'rankings',\n",
+ " 'for',\n",
+ " '1995-96',\n",
+ " 'with',\n",
+ " '8.62',\n",
+ " 'points',\n",
+ " ',',\n",
+ " 'ahead',\n",
+ " 'of',\n",
+ " 'England',\n",
+ " 'with',\n",
+ " '8.61',\n",
+ " 'and',\n",
+ " 'Sweden',\n",
+ " '8.57',\n",
+ " '.'],\n",
+ " ['The',\n",
+ " 'rankings',\n",
+ " 'are',\n",
+ " 'based',\n",
+ " 'on',\n",
+ " 'a',\n",
+ " 'formula',\n",
+ " 'that',\n",
+ " 'takes',\n",
+ " 'into',\n",
+ " 'account',\n",
+ " 'many',\n",
+ " 'factors',\n",
+ " 'including',\n",
+ " 'red',\n",
+ " 'and',\n",
+ " 'yellow',\n",
+ " 'cards',\n",
+ " ',',\n",
+ " 'and',\n",
+ " 'coaching',\n",
+ " 'and',\n",
+ " 'spectators',\n",
+ " \"'\",\n",
+ " 'behaviour',\n",
+ " 'at',\n",
+ " 'matches',\n",
+ " 'played',\n",
+ " 'at',\n",
+ " 'an',\n",
+ " 'international',\n",
+ " 'level',\n",
+ " 'by',\n",
+ " 'clubs',\n",
+ " 'and',\n",
+ " 'national',\n",
+ " 'teams',\n",
+ " '.'],\n",
+ " ['Only',\n",
+ " 'the',\n",
+ " 'top',\n",
+ " 'three',\n",
+ " 'countries',\n",
+ " 'are',\n",
+ " 'allocated',\n",
+ " 'additional',\n",
+ " 'places',\n",
+ " '.'],\n",
+ " ['The', 'UEFA', 'Fair', 'Play', 'rankings', 'are', ':', '1', '.'],\n",
+ " ['Norway', '8.62', 'points'],\n",
+ " ['2.', 'England', '8.61'],\n",
+ " ['3.', 'Sweden', '8.57'],\n",
+ " ['4.', 'Faroe', 'Islands', '8.56'],\n",
+ " ['5.', 'Wales', '8.54'],\n",
+ " ['6.', 'Estonia', '8.52'],\n",
+ " ['7.', 'Ireland', '8.45'],\n",
+ " ['8.', 'Belarus', '8.39'],\n",
+ " ['9.', 'Iceland', '8.35'],\n",
+ " ['10.', 'Netherlands', '8.30'],\n",
+ " ['10.', 'Denmark', '8.30'],\n",
+ " ['10.', 'Germany', '8.30'],\n",
+ " ['13.', 'Scotland', '8.29'],\n",
+ " ['13.', 'Latvia', '8.29'],\n",
+ " ['15.', 'Moldova', '8.24'],\n",
+ " ['16.', 'Yugoslavia', '8.22'],\n",
+ " ['16.', 'Belgium', '8.22'],\n",
+ " ['18.', 'Luxembourg', '8.20'],\n",
+ " ['19.', 'France', '8.18'],\n",
+ " ['20.', 'Israel', '8.17'],\n",
+ " ['21.', 'Switzerland', '8.15'],\n",
+ " ['21.', 'Slovakia', '8.15'],\n",
+ " ['23.', 'Poland', '8.12'],\n",
+ " ['23.', 'Portugal', '8.12'],\n",
+ " ['25.', 'Georgia', '8.10'],\n",
+ " ['26.', 'Ukraine', '8.09'],\n",
+ " ['26.', 'Spain', '8.09'],\n",
+ " ['26.', 'Finland', '8.09'],\n",
+ " ['29.', 'Macedonia', '8.07'],\n",
+ " ['30.', 'Lithuania', '8.06'],\n",
+ " ['31.', 'Austria', '8.05'],\n",
+ " ['32.', 'Russia', '8.03'],\n",
+ " ['33.', 'Romania', '8.02'],\n",
+ " ['33.', 'Turkey', '8.02'],\n",
+ " ['35.', 'Hungary', '7.98'],\n",
+ " ['36.', 'Czech', 'Republic', '7.95'],\n",
+ " ['37.', 'Greece', '7.89'],\n",
+ " ['37.', 'Northern', 'Ireland', '7.89'],\n",
+ " ['39.', 'Italy', '7.85'],\n",
+ " ['40.', 'Cyprus', '7.83'],\n",
+ " ['41.', 'Armenia', '7.80'],\n",
+ " ['42.', 'Slovenia', '7.77'],\n",
+ " ['43.', 'Croatia', '7.75'],\n",
+ " ['44.', 'Bulgaria', '7.73'],\n",
+ " ['45.', 'Malta', '7.40'],\n",
+ " ['CRICKET',\n",
+ " '-',\n",
+ " 'POLICE',\n",
+ " 'COMMANDOS',\n",
+ " 'ON',\n",
+ " 'HAND',\n",
+ " 'FOR',\n",
+ " 'AUSTRALIANS',\n",
+ " \"'\",\n",
+ " 'FIRST',\n",
+ " 'MATCH',\n",
+ " '.'],\n",
+ " ['COLOMBO', '1996-08-22'],\n",
+ " ['Armed',\n",
+ " 'police',\n",
+ " 'commandos',\n",
+ " 'patrolled',\n",
+ " 'the',\n",
+ " 'ground',\n",
+ " 'when',\n",
+ " 'Australia',\n",
+ " 'opened',\n",
+ " 'their',\n",
+ " 'short',\n",
+ " 'tour',\n",
+ " 'of',\n",
+ " 'Sri',\n",
+ " 'Lanka',\n",
+ " 'with',\n",
+ " 'a',\n",
+ " 'five-run',\n",
+ " 'win',\n",
+ " 'over',\n",
+ " 'the',\n",
+ " 'country',\n",
+ " \"'s\",\n",
+ " 'youth',\n",
+ " 'team',\n",
+ " 'on',\n",
+ " 'Thursday',\n",
+ " '.'],\n",
+ " ['Australia',\n",
+ " ',',\n",
+ " 'in',\n",
+ " 'Sri',\n",
+ " 'Lanka',\n",
+ " 'for',\n",
+ " 'a',\n",
+ " 'limited',\n",
+ " 'overs',\n",
+ " 'tournament',\n",
+ " 'which',\n",
+ " 'also',\n",
+ " 'includes',\n",
+ " 'India',\n",
+ " 'and',\n",
+ " 'Zimbabwe',\n",
+ " ',',\n",
+ " 'have',\n",
+ " 'been',\n",
+ " 'promised',\n",
+ " 'the',\n",
+ " 'presence',\n",
+ " 'of',\n",
+ " 'commandos',\n",
+ " ',',\n",
+ " 'sniffer',\n",
+ " 'dogs',\n",
+ " 'and',\n",
+ " 'plainclothes',\n",
+ " 'policemen',\n",
+ " 'to',\n",
+ " 'ensure',\n",
+ " 'the',\n",
+ " 'tournament',\n",
+ " 'is',\n",
+ " 'trouble-free',\n",
+ " '.'],\n",
+ " ['They',\n",
+ " 'are',\n",
+ " 'making',\n",
+ " 'their',\n",
+ " 'first',\n",
+ " 'visit',\n",
+ " 'to',\n",
+ " 'the',\n",
+ " 'island',\n",
+ " 'since',\n",
+ " 'boycotting',\n",
+ " 'a',\n",
+ " 'World',\n",
+ " 'Cup',\n",
+ " 'fixture',\n",
+ " 'in',\n",
+ " 'February',\n",
+ " 'because',\n",
+ " 'of',\n",
+ " 'fears',\n",
+ " 'over',\n",
+ " 'ethnic',\n",
+ " 'violence',\n",
+ " '.'],\n",
+ " ['Australia',\n",
+ " ',',\n",
+ " 'batting',\n",
+ " 'first',\n",
+ " 'in',\n",
+ " 'Thursday',\n",
+ " \"'s\",\n",
+ " 'the',\n",
+ " 'warm-up',\n",
+ " 'match',\n",
+ " ',',\n",
+ " 'scored',\n",
+ " '251',\n",
+ " 'for',\n",
+ " 'seven',\n",
+ " 'from',\n",
+ " 'their',\n",
+ " '50',\n",
+ " 'overs',\n",
+ " '.'],\n",
+ " ['Ricky',\n",
+ " 'Ponting',\n",
+ " 'led',\n",
+ " 'the',\n",
+ " 'way',\n",
+ " 'with',\n",
+ " '100',\n",
+ " 'off',\n",
+ " '119',\n",
+ " 'balls',\n",
+ " 'with',\n",
+ " 'two',\n",
+ " 'sixes',\n",
+ " 'and',\n",
+ " 'nine',\n",
+ " 'fours',\n",
+ " 'before',\n",
+ " 'retiring',\n",
+ " '.'],\n",
+ " ['The', 'youth', 'side', 'replied', 'with', '246', 'for', 'seven', '.'],\n",
+ " ...]"
+ ]
+ },
+ "execution_count": 5,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "dataset['train']['tokens']"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "23627"
+ ]
+ },
+ "execution_count": 6,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "len(vocab.itos)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "15"
+ ]
+ },
+ "execution_count": 7,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "vocab['on']"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def data_process(dt):\n",
+ " return [ torch.tensor([vocab['']] +[vocab[token] for token in document ] + [vocab['']], dtype = torch.long) for document in dt]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def labels_process(dt):\n",
+ " return [ torch.tensor([0] + document + [0], dtype = torch.long) for document in dt]\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "train_tokens_ids = data_process(dataset['train']['tokens'])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "test_tokens_ids = data_process(dataset['test']['tokens'])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "validation_tokens_ids = data_process(dataset['validation']['tokens'])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "metadata": {
+ "scrolled": true
+ },
+ "outputs": [],
+ "source": [
+ "train_labels = labels_process(dataset['train']['ner_tags'])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 14,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "validation_labels = labels_process(dataset['validation']['ner_tags'])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 15,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "test_labels = labels_process(dataset['test']['ner_tags'])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 16,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "tensor([ 2, 966, 22409, 238, 773, 9, 4588, 212, 7686, 4,\n",
+ " 3])"
+ ]
+ },
+ "execution_count": 16,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "train_tokens_ids[0]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 17,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def get_scores(y_true, y_pred):\n",
+ " acc_score = 0\n",
+ " tp = 0\n",
+ " fp = 0\n",
+ " selected_items = 0\n",
+ " relevant_items = 0 \n",
+ "\n",
+ " for p,t in zip(y_pred, y_true):\n",
+ " if p == t:\n",
+ " acc_score +=1\n",
+ "\n",
+ " if p > 0 and p == t:\n",
+ " tp +=1\n",
+ "\n",
+ " if p > 0:\n",
+ " selected_items += 1\n",
+ "\n",
+ " if t > 0 :\n",
+ " relevant_items +=1\n",
+ "\n",
+ " \n",
+ " \n",
+ " if selected_items == 0:\n",
+ " precision = 1.0\n",
+ " else:\n",
+ " precision = tp / selected_items\n",
+ " \n",
+ " \n",
+ " if relevant_items == 0:\n",
+ " recall = 1.0\n",
+ " else:\n",
+ " recall = tp / relevant_items\n",
+ " \n",
+ " \n",
+ " if precision + recall == 0.0 :\n",
+ " f1 = 0.0\n",
+ " else:\n",
+ " f1 = 2* precision * recall / (precision + recall)\n",
+ "\n",
+ " return precision, recall, f1"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 29,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "num_tags = max([max(x) for x in dataset['train']['ner_tags'] ]) + 1 "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 30,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "class FF(torch.nn.Module):\n",
+ "\n",
+ " def __init__(self,):\n",
+ " super(FF, self).__init__()\n",
+ " self.emb = torch.nn.Embedding(23627,200)\n",
+ " self.fc1 = torch.nn.Linear(200,num_tags)\n",
+ " \n",
+ "\n",
+ " def forward(self, x):\n",
+ " x = self.emb(x)\n",
+ " x = self.fc1(x)\n",
+ " return x"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 31,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "ff = FF()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 32,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "model = CRF(num_tags)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 33,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "params = list(ff.parameters()) + list(model.parameters())\n",
+ "\n",
+ "optimizer = torch.optim.Adam(params)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 34,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "def eval_model(dataset_tokens, dataset_labels):\n",
+ " Y_true = []\n",
+ " Y_pred = []\n",
+ " ff.eval()\n",
+ " model.eval()\n",
+ " for i in tqdm(range(len(dataset_labels))):\n",
+ " batch_tokens = dataset_tokens[i]\n",
+ " tags = list(dataset_labels[i].numpy())\n",
+ " emissions = ff(batch_tokens).unsqueeze(1)\n",
+ " Y_pred += model.decode(emissions)[0]\n",
+ " Y_true += tags\n",
+ "\n",
+ " return get_scores(Y_true, Y_pred)\n",
+ " "
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 24,
+ "metadata": {
+ "scrolled": true
+ },
+ "outputs": [
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
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+ "\n"
+ ]
+ },
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+ ]
+ },
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+ "text": [
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+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n",
+ "(0.6709526592635885, 0.7075936883629191, 0.6887862242755145)\n"
+ ]
+ },
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "af77a28fe8924bf0b65de6b6c6230afe",
+ "version_major": 2,
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+ "HBox(children=(FloatProgress(value=0.0, max=14041.0), HTML(value='')))"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n"
+ ]
+ },
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "61d46169157844cd922782086eebb678",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "HBox(children=(FloatProgress(value=0.0, max=3250.0), HTML(value='')))"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n",
+ "(0.8190561682482688, 0.742415436475648, 0.7788549478690324)\n"
+ ]
+ },
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "9de21726d2ee45489ce18536c723f29b",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "HBox(children=(FloatProgress(value=0.0, max=3453.0), HTML(value='')))"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n",
+ "(0.6873089700996677, 0.6375739644970414, 0.6615079618852722)\n"
+ ]
+ }
+ ],
+ "source": [
+ "for i in range (5):\n",
+ " ff.train()\n",
+ " model.train()\n",
+ " for i in tqdm(range(len(train_labels))):\n",
+ " batch_tokens = train_tokens_ids[i]\n",
+ " tags = train_labels[i].unsqueeze(1)\n",
+ " emissions = ff(batch_tokens).unsqueeze(1)\n",
+ "\n",
+ " optimizer.zero_grad()\n",
+ " loss = -model(emissions,tags )\n",
+ " loss.backward()\n",
+ " optimizer.step()\n",
+ " \n",
+ " ff.eval()\n",
+ " model.eval()\n",
+ " print(eval_model(validation_tokens_ids, validation_labels))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 27,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "bd2606bae1ef45588bc5034e53045f78",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "HBox(children=(FloatProgress(value=0.0, max=3250.0), HTML(value='')))"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n"
+ ]
+ },
+ {
+ "data": {
+ "text/plain": [
+ "(0.8190561682482688, 0.742415436475648, 0.7788549478690324)"
+ ]
+ },
+ "execution_count": 27,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "eval_model(validation_tokens_ids, validation_labels)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 28,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "35edc00dbc034a65a3223ccfcbc91f6c",
+ "version_major": 2,
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+ "HBox(children=(FloatProgress(value=0.0, max=3453.0), HTML(value='')))"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n"
+ ]
+ },
+ {
+ "data": {
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+ "(0.6873089700996677, 0.6375739644970414, 0.6615079618852722)"
+ ]
+ },
+ "execution_count": 28,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "eval_model(test_tokens_ids, test_labels)"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
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+ },
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+ "name": "python",
+ "nbconvert_exporter": "python",
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+ "version": "3.8.5"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}