From 6099566d29cf969477a0bc3efa404a9c7ccef8fa Mon Sep 17 00:00:00 2001 From: kubapok Date: Wed, 26 May 2021 14:36:47 +0200 Subject: [PATCH] crf --- cw/10_CRF.ipynb | 427 ++ cw/10_CRF_ODPOWIEDZI.ipynb | 10970 ----------------------------------- 2 files changed, 427 insertions(+), 10970 deletions(-) create mode 100644 cw/10_CRF.ipynb delete mode 100644 cw/10_CRF_ODPOWIEDZI.ipynb diff --git a/cw/10_CRF.ipynb b/cw/10_CRF.ipynb new file mode 100644 index 0000000..0dd0e1d --- /dev/null +++ b/cw/10_CRF.ipynb @@ -0,0 +1,427 @@ +{ + "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": null, + "metadata": {}, + "outputs": [], + "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": null, + "metadata": { + "scrolled": false + }, + "outputs": [], + "source": [ + "dataset = load_dataset(\"conll2003\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "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": null, + "metadata": {}, + "outputs": [], + "source": [ + "vocab = build_vocab(dataset['train']['tokens'])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "len(vocab.itos)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "vocab['on']" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "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": null, + "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": null, + "metadata": {}, + "outputs": [], + "source": [ + "train_tokens_ids = data_process(dataset['train']['tokens'])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "test_tokens_ids = data_process(dataset['test']['tokens'])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "validation_tokens_ids = data_process(dataset['validation']['tokens'])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "train_labels = labels_process(dataset['train']['ner_tags'])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "validation_labels = labels_process(dataset['validation']['ner_tags'])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "test_labels = labels_process(dataset['test']['ner_tags'])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "train_tokens_ids[0]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "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": null, + "metadata": {}, + "outputs": [], + "source": [ + "num_tags = max([max(x) for x in dataset['train']['ner_tags'] ]) + 1 " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "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": null, + "metadata": {}, + "outputs": [], + "source": [ + "ff = FF()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "crf = CRF(num_tags)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "params = list(ff.parameters()) + list(crf.parameters())\n", + "\n", + "optimizer = torch.optim.Adam(params)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def eval_model(dataset_tokens, dataset_labels):\n", + " Y_true = []\n", + " Y_pred = []\n", + " ff.eval()\n", + " crf.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 += crf.decode(emissions)[0]\n", + " Y_true += tags\n", + "\n", + " return get_scores(Y_true, Y_pred)\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "NUM_EPOCHS = 4" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "scrolled": true + }, + "outputs": [], + "source": [ + "for i in range(NUM_EPOCHS):\n", + " ff.train()\n", + " crf.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 = -crf(emissions,tags)\n", + " loss.backward()\n", + " optimizer.step()\n", + " \n", + " ff.eval()\n", + " crf.eval()\n", + " print(eval_model(validation_tokens_ids, validation_labels))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "eval_model(validation_tokens_ids, validation_labels)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "eval_model(test_tokens_ids, test_labels)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "len(train_tokens_ids)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Zadanie domowe\n", + "\n", + "- sklonować repozytorium https://git.wmi.amu.edu.pl/kubapok/en-ner-conll-2003\n", + "- stworzyć klasyfikator bazujący na sieci neuronowej feed forward w pytorchu + CRF (można bazować na tym jupyterze lub nie).\n", + "- sieć feedforward powinna obejmować aktualne słowo, poprzednie i następne + dodatkowe cechy (np. długość wyrazu, czy wyraz zaczyna się od wielkiej litery, stemmming słowa, czy zawiera cyfrę)\n", + "- stworzyć predykcje w plikach dev-0/out.tsv oraz test-A/out.tsv\n", + "- wynik fscore sprawdzony za pomocą narzędzia geval (patrz poprzednie zadanie) powinien wynosić conajmniej 0.65\n", + "- proszę umieścić predykcję oraz skrypty generujące (w postaci tekstowej a nie jupyter) w repo, a w MS TEAMS umieścić link do swojego repo\n", + "termin 15.06, 60 punktów, za najlepszy wynik- 100 punktów\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.8.5" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/cw/10_CRF_ODPOWIEDZI.ipynb b/cw/10_CRF_ODPOWIEDZI.ipynb deleted file mode 100644 index d5ea6c1..0000000 --- a/cw/10_CRF_ODPOWIEDZI.ipynb +++ /dev/null @@ -1,10970 +0,0 @@ -{ - "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", - 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" 'of',\n", - " 'Kurdistan',\n", - " '(',\n", - " 'PUK',\n", - " ')',\n", - " 'group',\n", - " '.'],\n", - " ['PUK',\n", - " 'and',\n", - " 'Iraq',\n", - " \"'s\",\n", - " 'Kurdistan',\n", - " 'Democratic',\n", - " 'Party',\n", - " '(',\n", - " 'KDP',\n", - " ')',\n", - " 'the',\n", - " 'two',\n", - " 'main',\n", - " 'Iraqi',\n", - " 'Kurdish',\n", - " 'factions',\n", - " ',',\n", - " 'have',\n", - " 'had',\n", - " 'northern',\n", - " 'Iraq',\n", - " 'under',\n", - " 'their',\n", - " 'control',\n", - " 'since',\n", - " 'Iraqi',\n", - " 'forces',\n", - " 'were',\n", - " 'ousted',\n", - " 'from',\n", - " 'Kuwait',\n", - " 'in',\n", - " 'the',\n", - " '1991',\n", - " 'Gulf',\n", - " 'War',\n", - " '.'],\n", - " ['Clashes',\n", - " 'between',\n", - " 'the',\n", - " 'two',\n", - " 'parties',\n", - " 'broke',\n", - " 'out',\n", - " 'at',\n", - " 'the',\n", - " 'weekend',\n", - " 'in',\n", - " 'the',\n", - " 'most',\n", - " 'serious',\n", - " 'fighting',\n", - " 'since',\n", - " 'a',\n", - " 'U.S.-sponsored',\n", - " 'ceasefire',\n", - " 'last',\n", - " 'year',\n", - " '.'],\n", - " ['Mujahideen',\n", - " 'Khalq',\n", - " 'said',\n", - " 'Iranian',\n", - " 'troops',\n", - " 'had',\n", - " 'also',\n", - " 'been',\n", - " 'shelling',\n", - " 'KDP',\n", - " 'positions',\n", - " 'in',\n", - " 'Qasri',\n", - " 'region',\n", - " 'in',\n", - " 'Suleimaniya',\n", - " 'province',\n", - " 'near',\n", - " 'the',\n", - " 'Iranian',\n", - " 'border',\n", - " 'over',\n", - " 'the',\n", - " 'last',\n", - " 'two',\n", - " 'days',\n", - " '.'],\n", - " ['It',\n", - " 'said',\n", - " 'about',\n", - " '100',\n", - " 'Iraqi',\n", - " 'Kurds',\n", - " 'were',\n", - " 'killed',\n", - " 'or',\n", - " 'wounded',\n", - " 'in',\n", - " 'the',\n", - " 'attack',\n", - " '.'],\n", - " ['Both',\n", - " 'Iran',\n", - " 'and',\n", - " 'Turkey',\n", - " 'mount',\n", - " 'air',\n", - " 'and',\n", - " 'land',\n", - " 'strikes',\n", - " 'at',\n", - " 'targets',\n", - " 'in',\n", - " 'northern',\n", - " 'Iraq',\n", - " 'in',\n", - " 'pursuit',\n", - " 'of',\n", - " 'their',\n", - " 'own',\n", - " 'Kurdish',\n", - " 'rebels',\n", - " '.'],\n", - " ['A',\n", - " 'U.S.-led',\n", - " 'air',\n", - " 'force',\n", - " 'in',\n", - " 'southern',\n", - " 'Turkey',\n", - " 'protects',\n", - " 'Iraqi',\n", - " 'Kurds',\n", - " 'from',\n", - " 'possible',\n", - " 'attacks',\n", - " 'by',\n", - " 'Baghdad',\n", - " 'troops',\n", - " '.'],\n", - " ['Saudi', 'riyal', 'rates', 'steady', 'in', 'quiet', 'summer', 'trade', '.'],\n", - " ['MANAMA', '1996-08-22'],\n", - " ['The',\n", - " 'spot',\n", - " 'Saudi',\n", - " 'riyal',\n", - " 'against',\n", - " 'the',\n", - " 'dollar',\n", - " 'and',\n", - " 'riyal',\n", - " 'interbank',\n", - " 'deposit',\n", - " 'rates',\n", - " 'were',\n", - " 'mainly',\n", - " 'steady',\n", - " 'this',\n", - " 'week',\n", - " 'in',\n", - " 'quiet',\n", - " 'summer',\n", - " 'trade',\n", - " ',',\n", - " 'dealers',\n", - " 'in',\n", - " 'the',\n", - " 'kingdom',\n", - " 'said',\n", - " '.'],\n", - " ['\"', 'There', 'were', 'no', 'changes', 'in', 'Saudi', 'riyal', 'rates', '.'],\n", - " ['The',\n", - " 'market',\n", - " 'was',\n", - " 'very',\n", - " 'quiet',\n", - " 'because',\n", - " 'of',\n", - " 'summer',\n", - " 'holidays',\n", - " ',',\n", - " '\"',\n", - " 'one',\n", - " 'dealer',\n", - " 'said',\n", - " '.'],\n", - " ['The',\n", - " 'spot',\n", - " 'riyal',\n", - " 'was',\n", - " 'put',\n", - " 'at',\n", - " '3.7504',\n", - " '/',\n", - " '06',\n", - " 'to',\n", - " 'the',\n", - " 'dollar',\n", - " '.'],\n", - " ['One-month',\n", - " 'interbank',\n", - " 'deposits',\n", - " 'were',\n", - " 'at',\n", - " '5-1/2',\n", - " ',',\n", - " '3/8',\n", - " 'percent',\n", - " ',',\n", - " 'three',\n", - " 'months',\n", - " 'were',\n", - " '5-5/8',\n", - " ',',\n", - " '1/2',\n", - " 'percent',\n", - " 'and',\n", - " 'six',\n", - " 'months',\n", - " 'were',\n", - " '5-3/4',\n", - " ',',\n", - " '5/8',\n", - " 'percent',\n", - " '.'],\n", - " ['One-year', 'funds', 'were', 'at', 'six', ',', '5-7/8', 'percent', '.'],\n", - " ['Israel', 'approves', 'Arafat', \"'s\", 'flight', 'to', 'West', 'Bank', '.'],\n", - " ['JERUSALEM', '1996-08-22'],\n", - " ['Israel',\n", - " 'gave',\n", - " 'Palestinian',\n", - " 'President',\n", - " 'Yasser',\n", - " 'Arafat',\n", - " 'permission',\n", - " 'on',\n", - " 'Thursday',\n", - " 'to',\n", - " 'fly',\n", - " 'over',\n", - " 'its',\n", - " 'territory',\n", - " 'to',\n", - " 'the',\n", - " 'West',\n", - " 'Bank',\n", - " ',',\n", - " 'ending',\n", - " 'a',\n", - " 'brief',\n", - " 'Israeli-PLO',\n", - " 'crisis',\n", - " ',',\n", - " 'an',\n", - " 'Arafat',\n", - " 'adviser',\n", - " 'said',\n", - " '.'],\n", - " ['\"', 'The', 'problem', 'is', 'over', '.'],\n", - " ['The',\n", - " 'president',\n", - " \"'s\",\n", - " 'aircraft',\n", - " 'has',\n", - " 'received',\n", - " 'permission',\n", - " 'to',\n", - " 'pass',\n", - " 'through',\n", - " 'Israeli',\n", - " 'airspace',\n", - " 'but',\n", - " 'the',\n", - " 'president',\n", - " 'is',\n", - " 'not',\n", - " 'expected',\n", - " 'to',\n", - " 'travel',\n", - " 'to',\n", - " 'the',\n", - " 'West',\n", - " 'Bank',\n", - " 'before',\n", - " 'Monday',\n", - " ',',\n", - " '\"',\n", - " 'Nabil',\n", - " 'Abu',\n", - " 'Rdainah',\n", - " 'told',\n", - " 'Reuters',\n", - " '.'],\n", - " ['Arafat',\n", - " 'had',\n", - " 'been',\n", - " 'scheduled',\n", - " 'to',\n", - " 'meet',\n", - " 'former',\n", - " 'Israeli',\n", - " 'prime',\n", - " 'minister',\n", - " 'Shimon',\n", - " 'Peres',\n", - " 'in',\n", - " 'the',\n", - " 'West',\n", - " 'Bank',\n", - " 'town',\n", - " 'of',\n", - " 'Ramallah',\n", - " 'on',\n", - " 'Thursday',\n", - " 'but',\n", - " 'the',\n", - " 'venue',\n", - " 'was',\n", - " 'changed',\n", - " 'to',\n", - " 'Gaza',\n", - " 'after',\n", - " 'Israel',\n", - " 'denied',\n", - " 'flight',\n", - " 'clearance',\n", - " 'to',\n", - " 'the',\n", - " 'Palestinian',\n", - " 'leader',\n", - " \"'s\",\n", - " 'helicopters',\n", - " '.'],\n", - " ['Palestinian',\n", - " 'officials',\n", - " 'accused',\n", - " 'right-wing',\n", - " 'Prime',\n", - " 'Minister',\n", - " 'Benjamin',\n", - " 'Netanyahu',\n", - " 'of',\n", - " 'trying',\n", - " 'to',\n", - " 'stop',\n", - " 'the',\n", - " 'Ramallah',\n", - " 'meeting',\n", - " 'by',\n", - " 'keeping',\n", - " 'Arafat',\n", - " 'grounded',\n", - " '.'],\n", - " ['Arafat',\n", - " 'subsequently',\n", - " 'cancelled',\n", - " 'a',\n", - " 'meeting',\n", - " 'between',\n", - " 'Israeli',\n", - " 'and',\n", - " 'PLO',\n", - " 'officials',\n", - " ',',\n", - " 'on',\n", - " 'civilian',\n", - " 'affairs',\n", - " ',',\n", - " 'at',\n", - " 'the',\n", - " 'Allenby',\n", - " 'Bridge',\n", - " 'crossing',\n", - " 'between',\n", - " 'Jordan',\n", - " 'and',\n", - " 'the',\n", - " 'West',\n", - " 'Bank',\n", - " '.'],\n", - " ['Abu',\n", - " 'Rdainah',\n", - " 'said',\n", - " 'Arafat',\n", - " 'had',\n", - " 'decided',\n", - " 'against',\n", - " 'flying',\n", - " 'to',\n", - " 'the',\n", - " 'West',\n", - " 'Bank',\n", - " 'on',\n", - " 'Thursday',\n", - " ',',\n", - " 'after',\n", - " 'Israel',\n", - " 'lifted',\n", - " 'the',\n", - " 'ban',\n", - " ',',\n", - " 'because',\n", - " 'he',\n", - " 'had',\n", - " 'a',\n", - " 'busy',\n", - " 'schedule',\n", - " 'in',\n", - " 'Gaza',\n", - " 'and',\n", - " 'would',\n", - " 'not',\n", - " 'be',\n", - " 'free',\n", - " 'until',\n", - " 'Monday',\n", - " '.'],\n", - " ['Arafat',\n", - " 'to',\n", - " 'meet',\n", - " 'Peres',\n", - " 'in',\n", - " 'Gaza',\n", - " 'after',\n", - " 'flight',\n", - " 'ban',\n", - " '.'],\n", - " ['JERUSALEM', '1996-08-22'],\n", - " ['Yasser',\n", - " 'Arafat',\n", - " 'will',\n", - " 'meet',\n", - " 'Shimon',\n", - " 'Peres',\n", - " 'in',\n", - " 'Gaza',\n", - " 'on',\n", - " 'Thursday',\n", - " 'after',\n", - " 'Palestinians',\n", - " 'said',\n", - " 'the',\n", - " 'right-wing',\n", - " 'Israeli',\n", - " 'government',\n", - " 'had',\n", - " 'barred',\n", - " 'the',\n", - " 'Palestinian',\n", - " 'leader',\n", - " 'from',\n", - " 'flying',\n", - " 'to',\n", - " 'the',\n", - " 'West',\n", - " 'Bank',\n", - " 'for',\n", - " 'talks',\n", - " 'with',\n", - " 'the',\n", - " 'former',\n", - " 'prime',\n", - " 'minister',\n", - " '.'],\n", - " ['\"',\n", - " 'The',\n", - " 'meeting',\n", - " 'between',\n", - " 'Peres',\n", - " 'and',\n", - " 'Arafat',\n", - " 'will',\n", - " 'take',\n", - " 'place',\n", - " 'at',\n", - " 'Erez',\n", - " 'checkpoint',\n", - " 'in',\n", - " 'Gaza',\n", - " 'and',\n", - " 'not',\n", - " 'in',\n", - " 'Ramallah',\n", - " 'as',\n", - " 'planned',\n", - " ',',\n", - " '\"',\n", - " 'Peres',\n", - " \"'\",\n", - " 'office',\n", - " 'said',\n", - " '.'],\n", - " ['Palestinian',\n", - " 'officials',\n", - " 'said',\n", - " 'the',\n", - " 'Israeli',\n", - " 'government',\n", - " 'had',\n", - " 'barred',\n", - " 'Arafat',\n", - " 'from',\n", - " 'overflying',\n", - " 'Israel',\n", - " 'in',\n", - " 'a',\n", - " 'Palestinian',\n", - " 'helicopter',\n", - " 'to',\n", - " 'the',\n", - " 'West',\n", - " 'Bank',\n", - " 'in',\n", - " 'an',\n", - " 'attempt',\n", - " 'to',\n", - " 'bar',\n", - " 'the',\n", - " 'meeting',\n", - " 'with',\n", - " 'Peres',\n", - " '.'],\n", - " ['Israeli',\n", - " 'Prime',\n", - " 'Minister',\n", - " 'Benjamin',\n", - " 'Netanyahu',\n", - " 'has',\n", - " 'accused',\n", - " 'opposition',\n", - " 'leader',\n", - " 'Peres',\n", - " ',',\n", - " 'who',\n", - " 'he',\n", - " 'defeated',\n", - " 'in',\n", - " 'May',\n", - " 'elections',\n", - " ',',\n", - " 'of',\n", - " 'trying',\n", - " 'to',\n", - " 'undermine',\n", - " 'his',\n", - " 'Likud',\n", - " 'government',\n", - " \"'s\",\n", - " 'authority',\n", - " 'to',\n", - " 'conduct',\n", - " 'peace',\n", - " 'talks',\n", - " '.'],\n", - " ['Afghan',\n", - " 'UAE',\n", - " 'embassy',\n", - " 'says',\n", - " 'Taleban',\n", - " 'guards',\n", - " 'going',\n", - " 'home',\n", - " '.'],\n", - " ['Hilary', 'Gush'],\n", - " ['DUBAI', '1996-08-22'],\n", - " ['Three',\n", - " 'Afghan',\n", - " 'guards',\n", - " 'brought',\n", - " 'to',\n", - " 'the',\n", - " 'United',\n", - " 'Arab',\n", - " 'Emirates',\n", - " 'last',\n", - " 'week',\n", - " 'by',\n", - " 'Russian',\n", - " 'hostages',\n", - " 'who',\n", - " 'escaped',\n", - " 'from',\n", - " 'the',\n", - " 'Taleban',\n", - " 'militia',\n", - " 'will',\n", - " 'return',\n", - " 'to',\n", - " 'Afghanistan',\n", - " 'in',\n", - " 'a',\n", - " 'few',\n", - " 'days',\n", - " ',',\n", - " 'the',\n", - " 'Afghan',\n", - " 'embassy',\n", - " 'in',\n", - " 'Abu',\n", - " 'Dhabi',\n", - " 'said',\n", - " 'on',\n", - " 'Thursday',\n", - " '.'],\n", - " ['\"',\n", - " 'Our',\n", - " 'ambassador',\n", - " 'is',\n", - " 'in',\n", - " 'touch',\n", - " 'with',\n", - " 'the',\n", - " 'UAE',\n", - " 'foreign',\n", - " 'ministry',\n", - " '.'],\n", - " ['Their',\n", - " 'return',\n", - " 'to',\n", - " 'Afghanistan',\n", - " 'will',\n", - " 'take',\n", - " 'place',\n", - " 'in',\n", - " 'two',\n", - " 'or',\n", - " 'three',\n", - " 'days',\n", - " ',',\n", - " '\"',\n", - " 'an',\n", - " 'embassy',\n", - " 'official',\n", - " 'said',\n", - " '.'],\n", - " ['\"',\n", - " 'The',\n", - " 'embassy',\n", - " 'is',\n", - " 'issuing',\n", - " 'them',\n", - " 'travel',\n", - " 'documents',\n", - " 'for',\n", - " 'their',\n", - " 'return',\n", - " 'to',\n", - " 'their',\n", - " 'homeland',\n", - " '.'],\n", - " ['There',\n", - " 'is',\n", - " 'no',\n", - " 'objection',\n", - " 'to',\n", - " 'their',\n", - " 'travel',\n", - " ',',\n", - " '\"',\n", - " 'he',\n", - " 'added',\n", - " '.'],\n", - " ['The',\n", - " 'three',\n", - " 'Islamic',\n", - " 'Taleban',\n", - " 'guards',\n", - " 'were',\n", - " 'overpowered',\n", - " 'by',\n", - " 'seven',\n", - " 'Russian',\n", - " 'aircrew',\n", - " 'who',\n", - " 'escaped',\n", - " 'to',\n", - " 'UAE',\n", - " 'state',\n", - " 'Sharjah',\n", - " 'last',\n", - " 'Friday',\n", - " 'on',\n", - " 'board',\n", - " 'their',\n", - " 'own',\n", - " 'aircraft',\n", - " 'after',\n", - " 'a',\n", - " 'year',\n", - " 'in',\n", - " 'the',\n", - " 'captivity',\n", - " 'of',\n", - " 'Taleban',\n", - " 'militia',\n", - " 'in',\n", - " 'Kandahar',\n", - " 'in',\n", - " 'southern',\n", - " 'Afghanistan',\n", - " '.'],\n", - " ['The',\n", - " 'UAE',\n", - " 'said',\n", - " 'on',\n", - " 'Monday',\n", - " 'it',\n", - " 'would',\n", - " 'hand',\n", - " 'over',\n", - " 'the',\n", - " 'three',\n", - " 'to',\n", - " 'the',\n", - " 'International',\n", - " 'Red',\n", - " 'Crescent',\n", - " ',',\n", - " 'possibly',\n", - " 'last',\n", - " 'Tuesday',\n", - " '.'],\n", - " ['It', 'has', 'since', 'been', 'silent', 'on', 'the', 'issue', '.'],\n", - " ['When',\n", - " 'asked',\n", - " 'whether',\n", - " 'the',\n", - " 'three',\n", - " 'guards',\n", - " 'would',\n", - " 'travel',\n", - " 'back',\n", - " 'to',\n", - " 'Kandahar',\n", - " 'or',\n", - " 'the',\n", - " 'Afghan',\n", - " 'capital',\n", - " 'Kabul',\n", - " ',',\n", - " 'the',\n", - " 'embassy',\n", - " 'official',\n", - " 'said',\n", - " ':',\n", - " '\"',\n", - " 'That',\n", - " 'has',\n", - " 'not',\n", - " 'been',\n", - " 'decided',\n", - " ',',\n", - " 'but',\n", - " 'possibly',\n", - " 'Kandahar',\n", - " '.',\n", - " '\"'],\n", - " ['Kandahar',\n", - " 'is',\n", - " 'the',\n", - " 'headquarters',\n", - " 'of',\n", - " 'the',\n", - " 'opposition',\n", - " 'Taleban',\n", - " 'militia',\n", - " '.'],\n", - " ['Kabul',\n", - " 'is',\n", - " 'controlled',\n", - " 'by',\n", - " 'President',\n", - " 'Burhanuddin',\n", - " 'Rabbani',\n", - " \"'s\",\n", - " 'government',\n", - " ',',\n", - " 'which',\n", - " 'Taleban',\n", - " 'is',\n", - " 'fighting',\n", - " 'to',\n", - " 'overthrow',\n", - " '.'],\n", - " ['The',\n", - " 'embassy',\n", - " 'official',\n", - " 'said',\n", - " 'the',\n", - " 'three',\n", - " 'men',\n", - " ',',\n", - " 'believed',\n", - " 'to',\n", - " 'be',\n", - " 'in',\n", - " 'their',\n", - " '20s',\n", - " ',',\n", - " 'were',\n", - " 'currently',\n", - " 'in',\n", - " 'Abu',\n", - " 'Dhabi',\n", - " '.'],\n", - " ['He', 'did', 'not', 'elaborate', '.'],\n", - " ['The',\n", - " 'Russians',\n", - " ',',\n", - " 'working',\n", - " 'for',\n", - " 'the',\n", - " 'Aerostan',\n", - " 'firm',\n", - 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" 'Chris',\n", - " 'Rutter',\n", - " '.'],\n", - " ['Hever',\n", - " 'Golf',\n", - " 'Rose',\n", - " '(',\n", - " '11-4',\n", - " ')',\n", - " ',',\n", - " 'last',\n", - " 'year',\n", - " \"'s\",\n", - " 'Prix',\n", - " 'de',\n", - " 'l',\n", - " \"'\",\n", - " 'Abbaye',\n", - " 'winner',\n", - " 'at',\n", - " 'Longchamp',\n", - " ',',\n", - " 'finished',\n", - " 'third',\n", - " ',',\n", - " 'a',\n", - " 'further',\n", - " 'one',\n", - " 'and',\n", - " 'a',\n", - " 'quarter',\n", - " 'lengths',\n", - " 'away',\n", - " 'with',\n", - " 'the',\n", - " '7-4',\n", - " 'favourite',\n", - " 'Mind',\n", - " 'Games',\n", - " 'in',\n", - " 'fourth',\n", - " '.'],\n", - " ['Pivotal',\n", - " ',',\n", - " 'a',\n", - " 'Royal',\n", - " 'Ascot',\n", - " 'winner',\n", - " 'in',\n", - " 'June',\n", - " ',',\n", - " 'may',\n", - " 'now',\n", - " 'be',\n", - " 'aimed',\n", - " 'at',\n", - " 'this',\n", - " 'season',\n", - " \"'s\",\n", - " 'Abbaye',\n", - " ',',\n", - " 'Europe',\n", - " \"'s\",\n", - 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" 'of',\n", - " 'them',\n", - " 'one',\n", - " 'and',\n", - " 'a',\n", - " 'half',\n", - " 'furlongs',\n", - " '(',\n", - " '300',\n", - " 'metres',\n", - " ')',\n", - " 'out',\n", - " 'but',\n", - " 'he',\n", - " 'just',\n", - " 'did',\n", - " \"n't\",\n", - " 'quicken',\n", - " '.',\n", - " '\"'],\n", - " ['HORSE', 'RACING', '-', 'NUNTHORPE', 'STAKES', 'RESULTS', '.'],\n", - " ['YORK', ',', 'England', '1996-08-22'],\n", - " ['Result',\n", - " 'of',\n", - " 'the',\n", - " 'Nunthorpe',\n", - " 'Stakes',\n", - " ',',\n", - " 'a',\n", - " 'group',\n", - " 'one',\n", - " 'race',\n", - " 'for',\n", - " 'two-year-olds',\n", - " 'and',\n", - " 'upwards',\n", - " ',',\n", - " 'run',\n", - " 'over',\n", - " 'five',\n", - " 'furlongs',\n", - " '(',\n", - " '1',\n", - " 'km',\n", - " ')',\n", - " 'on',\n", - " 'Thursday',\n", - " ':'],\n", - " ['1.', 'Pivotal', '100-30', '(', 'ridden', 'by', 'George', 'Duffield', ')'],\n", - " ['2.', 'Eveningperformance', '16-1', '(', 'Chris', 'Rutter', ')'],\n", - " ['3.', 'Hever', 'Golf', 'Rose', '11-4', '(', 'Jason', 'Weaver', ')'],\n", - " ['Eight', 'ran', '.'],\n", - " ['Favourite', ':', 'Mind', 'Games', '(', '7-4', ')', 'finished', '4th'],\n", - " ['Distances', ':', 'a', 'short', 'head', ',', '1-1/4', 'lengths', '.'],\n", - " ['Winner',\n", - " 'owned',\n", - " 'by',\n", - " 'the',\n", - " 'Cheveley',\n", - " 'Park',\n", - " 'Stud',\n", - " 'and',\n", - " 'trained',\n", - " 'by',\n", - " 'Sir'],\n", - " ['Mark', 'Prescott', 'at', 'Newmarket', '.'],\n", - " ['Value',\n", - " 'to',\n", - " 'winner',\n", - " ':',\n", - " '72,464',\n", - " 'pounds',\n", - " 'sterling',\n", - " '(',\n", - " '$',\n", - " '112,200',\n", - " ')'],\n", - " ['TENNIS', '-', 'RESULTS', 'AT', 'TOSHIBA', 'CLASSIC', '.'],\n", - " ['CARLSBAD', ',', 'California', '1996-08-21'],\n", - " ['Results', 'from', 'the'],\n", - " ['$',\n", - " '450,000',\n", - " 'Toshiba',\n", - " 'Classic',\n", - " 'tennis',\n", - " 'tournament',\n", - " 'on',\n", - " 'Wednesday'],\n", - " ['(', 'prefix', 'number', 'denotes', 'seeding', ')', ':'],\n", - 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" ')',\n", - " 'vs.',\n", - " 'Galo',\n", - " 'Blanco',\n", - " '(',\n", - " 'Spain',\n", - " ')'],\n", - " ['Renzo',\n", - " 'Furlan',\n", - " '(',\n", - " 'Italy',\n", - " ')',\n", - " 'vs.',\n", - " 'Thomas',\n", - " 'Johansson',\n", - " '(',\n", - " 'Sweden',\n", - " ')'],\n", - " ['Hendrik',\n", - " 'Dreekman',\n", - " '(',\n", - " 'Germany',\n", - " ')',\n", - " 'vs.',\n", - " 'Greg',\n", - " 'Rusedski',\n", - " '(',\n", - " 'Britain',\n", - " ')'],\n", - " ['Andrei',\n", - " 'Medvedev',\n", - " '(',\n", - " 'Ukraine',\n", - " ')',\n", - " 'vs.',\n", - " 'Jean-Philippe',\n", - " 'Fleurian',\n", - " '(',\n", - " 'France',\n", - " ')'],\n", - " ['Jan',\n", - " 'Kroslak',\n", - " '(',\n", - " 'Slovakia',\n", - " ')',\n", - " 'vs.',\n", - " 'Chris',\n", - " 'Woodruff',\n", - " '(',\n", - " 'U.S.',\n", - " ')'],\n", - " ['Qualifier', 'vs.', 'Petr', 'Korda', '(', 'Czech', 'Republic', ')'],\n", - " ['Bohdan',\n", - " 'Ulihrach',\n", - " '(',\n", - " 'Czech',\n", - " 'Republic',\n", - " ')',\n", - 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" '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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"text": [ - "\n" - ] - }, - { - "data": { - "text/plain": [ - "(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", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.5" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -}