1-liner Tutorial Notebooks

The following tables give an overview on the different tutorials with the 1-liners.
The tables are grouped by category.

Embeddings Tutorials Overview

Tutorial Description	1-liners used	Open In Colab	Dataset and Paper References
Albert Word Embeddings	albert, sentiment pos albert emotion		Albert-Paper, Albert on Github, Albert on TensorFlow, T-SNE, T-SNE-Albert, Albert_Embedding
Bert Word Embeddings	bert, pos sentiment emotion bert		Bert-Paper, Bert Github, T-SNE, T-SNE-Bert, Bert_Embedding
BIOBERT Word Embeddings	biobert , sentiment pos biobert emotion		BioBert-Paper, Bert Github , BERT: Deep Bidirectional Transformers, Bert Github, T-SNE, T-SNE-Biobert, Biobert_Embedding
COVIDBERT Word Embeddings	covidbert, sentiment covidbert pos		CovidBert-Paper, Bert Github, T-SNE, T-SNE-CovidBert, Covidbert_Embedding
ELECTRA Word Embeddings	electra, sentiment pos en.embed.electra emotion		Electra-Paper, T-SNE, T-SNE-Electra, Electra_Embedding
ELMO Word Embeddings	elmo, sentiment pos elmo emotion		ELMO-Paper, Elmo-TensorFlow, T-SNE, T-SNE-Elmo, Elmo-Embedding
GLOVE Word Embeddings	glove, sentiment pos glove emotion		Glove-Paper, T-SNE, T-SNE-Glove , Glove_Embedding
XLNET Word Embeddings	xlnet, sentiment pos xlnet emotion		XLNet-Paper, Bert Github, T-SNE, T-SNE-XLNet, Xlnet_Embedding
Multiple Word-Embeddings and Part of Speech in 1 Line of code	bert electra elmo glove xlnet albert pos		Bert-Paper, Albert-Paper, ELMO-Paper, Electra-Paper, XLNet-Paper, Glove-Paper

Text Preprocessing and Cleaning

Tutorial Description	1-liners used	Open In Colab	Dataset and Paper References
Normalzing	norm		-
Detect sentences	sentence_detector.deep, sentence_detector.pragmatic, xx.sentence_detector		Sentence Detector
Spellchecking	n.a.	n.a.	-
Stemming	en.stem, de.stem		-
Stopwords removal	stopwords		Stopwords
Tokenization	tokenize		-
Normalization of Documents	norm_document		-

Sequence to Sequence

Tutorial Description	1-liners used	Open In Colab	Dataset and Paper References
Open and Closed book question answering with Google’s T5	en.t5 , answer_question		T5-Paper, T5-Model
Overview of every task available with T5	en.t5.base		T5-Paper, T5-Model
Translate between more than 200 Languages in 1 line of code with Marian Models	tr.translate_to.fr, en.translate_to.fr ,fr.translate_to.he , en.translate_to.de		Marian-Papers, Translation-Pipeline (En to Fr), Translation-Pipeline (En to Ger)

Sentence Embeddings

Tutorial Description	1-liners used	Open In Colab	Dataset and Paper References
BERT Sentence Embeddings	embed_sentence.bert, pos sentiment embed_sentence.bert		Bert-Paper, Bert Github, Bert-Sentence_Embedding
ELECTRA Sentence Embeddings	embed_sentence.electra, pos sentiment embed_sentence.electra		Electra Paper, Sentence-Electra-Embedding
USE Sentence Embeddings	use, pos sentiment use emotion		Universal Sentence Encoder, USE-TensorFlow, Sentence-USE-Embedding
Sentence similarity using BERT embeddings	embed_sentence.bert, use en.embed_sentence.electra embed_sentence.bert		Bert-Paper, Bert Github, Bert-Sentence_Embedding

Part of Speech

Tutorial Description	1-liners used	Open In Colab	Dataset and Paper References
Part of Speech tagging	pos		Part of Speech

Named Entity Recognition (NER)

Tutorial Description	1-liners used	Open In Colab	Dataset and Paper References
NER Aspect Airline ATIS	en.ner.aspect.airline		NER Airline Model, Atis intent Dataset
NLU-NER_CONLL_2003_5class_example	ner		NER-Piple
Named-entity recognition with Deep Learning ONTO NOTES	ner.onto		NER_Onto
Aspect based NER-Sentiment-Restaurants	en.ner.aspect_sentiment		-

Multilingual Tasks

Tutorial Description	1-liners used	Open In Colab	Dataset and Paper References
Detect Named Entities (NER), Part of Speech Tags (POS) and Tokenize in Chinese	zh.segment_words, zh.pos, zh.ner, zh.translate_to.en		Translation-Pipeline (Zh to En)
Detect Named Entities (NER), Part of Speech Tags (POS) and Tokenize in Japanese	ja.segment_words, ja.pos, ja.ner, ja.translate_to.en		Translation-Pipeline (Ja to En)
Detect Named Entities (NER), Part of Speech Tags (POS) and Tokenize in Korean	ko.segment_words, ko.pos, ko.ner.kmou.glove_840B_300d, ko.translate_to.en		-

Matchers

Tutorial Description	1-liners used	Open In Colab	Dataset and Paper References
Date Matching	match.datetime		-

Dependency Parsing

Tutorial Description	1-liners used	Open In Colab	Dataset and Paper References
Typed Dependency Parsing	dep		Dependency Parsing
Untyped Dependency Parsing	dep.untyped		-

Classifiers

Tutorial Description	1-liners used	Open In Colab	Dataset and Paper References
E2E Classification	e2e		e2e-Model
Language Classification	lang		-
Cyberbullying Classification	classify.cyberbullying		Cyberbullying-Classifier
Sentiment Classification for Twitter	emotion		Emotion detection
Fake News Classification	en.classify.fakenews		Fakenews-Classifier
Intent Classification	en.classify.intent.airline		Airline-Intention classifier, Atis-Dataset
Question classification based on the TREC dataset	en.classify.questions		Question-Classifier
Sarcasm Classification	en.classify.sarcasm		Sarcasm-Classifier
Sentiment Classification for Twitter	en.sentiment.twitter		Sentiment_Twitter-Classifier
Sentiment Classification for Movies	en.sentiment.imdb		Sentiment_imdb-Classifier
Spam Classification	en.classify.spam		Spam-Classifier
Toxic text classification	en.classify.toxic		Toxic-Classifier
Unsupervised keyword extraction using the YAKE algorithm	yake		-
Notebook for Classification of Banking Queries	en.classify.distilbert_sequence.banking77		DistilBERT Sequence Classification - Banking77
Notebook for Classification of Intent in Texts	en.ner.snips		Identify intent in general text - SNIPS dataset
Notebook for classification of Similar Questions	en.classify.questionpair		Question Pair Classifier
Notebook for Classification of Questions vs Statements	en.classify.question_vs_statement		Bert for Sequence Classification (Question vs Statement)
Notebook for Classification of News into 4 classes	en.classify.distilbert_sequence.ag_news		DistilBERT Sequence Classification Base - AG News (distilbert_base_sequence_classifier_ag_news)

Chunkers

Tutorial Description	1-liners used	Open In Colab	Dataset and Paper References
Grammatical Chunk Matching	match.chunks		-
Getting n-Grams	ngram		-

Healthcare

Tutorial Description	1-liners used	Open In Colab	Dataset and Paper References
Assertion	en.med_ner.clinical en.assert, en.med_ner.clinical.biobert en.assert.biobert, …		Healthcare-NER, NER_Clinical-Classifier, Toxic-Classifier
De-Identification Model overview	med_ner.jsl.wip.clinical en.de_identify, med_ner.jsl.wip.clinical en.de_identify.clinical, …		NER-Clinical
Drug Normalization	norm_drugs		-
Entity Resolution	med_ner.jsl.wip.clinical en.resolve_chunk.cpt_clinical, med_ner.jsl.wip.clinical en.resolve.icd10cm, …		NER-Clinical, Entity-Resolver clinical
Medical Named Entity Recognition	en.med_ner.ade.clinical, en.med_ner.ade.clinical_bert, en.med_ner.anatomy,en.med_ner.anatomy.biobert, …		-
Relation Extraction	en.med_ner.jsl.wip.clinical.greedy en.relation, en.med_ner.jsl.wip.clinical.greedy en.relation.bodypart.problem, …		-

Visualization

Tutorial Description	1-liners used	Open In Colab	Dataset and Paper References
Visualization of NLP-Models with Spark-NLP and NLU	ner, dep.typed, med_ner.jsl.wip.clinical resolve_chunk.rxnorm.in, med_ner.jsl.wip.clinical resolve.icd10cm		NER-Piple, Dependency Parsing, NER-Clinical, Entity-Resolver (Chunks) clinical

Example Notebooks on Kaggle, Examination on real life Problems.

Tutorial Description	1-liners used	Open In Colab	Dataset and Paper References
NLU Covid-19 Emotion Showcase	emotion		Emotion detection
NLU Covid-19 Sentiment Showcase	sentiment		Sentiment classification
NLU Airline Emotion Demo	emotion		Emotion detection
NLU Airline Sentiment Demo	sentiment		Sentiment classification

Release Notebooks

Tutorial Description	1-liners used	Open In Colab	Dataset and Paper References
Bengali NER Hindi Embeddings for 30 Models	bn.ner, bn.lemma, ja.lemma, am.lemma, bh.lemma, en.ner.onto.bert.small_l2_128,..		Bengali-NER, Bengali-Lemmatizer, Japanese-Lemmatizer, Amharic-Lemmatizer
Entity Resolution	med_ner.jsl.wip.clinical en.resolve.umls, med_ner.jsl.wip.clinical en.resolve.loinc, med_ner.jsl.wip.clinical en.resolve.loinc.biobert		-

Crash-Course

Tutorial Description	1-liners used	Open In Colab	Dataset and Paper References
NLU 20 Minutes Crashcourse - the fast Data Science route	spell, sentiment, pos, ner, yake, en.t5, emotion, answer_question, en.t5.base …		T5-Model, Part of Speech, NER-Piple, Emotion detection , Spellchecker, Sentiment classification

Natural Language Processing (NLP)

Tutorial Description	1-liners used	Open In Colab	Dataset and Paper References
Chapter 0: Intro: 1-liners	sentiment, pos, ner, bert, elmo, embed_sentence.bert		Part of Speech, NER-Piple, Sentiment classification, Elmo-Embedding, Bert-Sentence_Embedding
Chapter 1: NLU base-features with some classifiers on testdata	emotion, yake, stem		Emotion detection
Chapter 2: Translation between 300+ langauges with Marian	tr.translate_to.en, en.translate_to.fr, en.translate_to.he		Translation-Pipeline (En to Fr), Translation (En to He)
Chapter 3: Answer questions and summarize Texts with T5	answer_question, en.t5, en.t5.base		T5-Model
Chapter 4: Overview of T5-Tasks	en.t5.base		T5-Model

NLU-Crashcourse Graph AI

Tutorial Description	1-liners used	Open In Colab	Dataset and Paper References
Graph NLU 20 Minutes Crashcourse - State of the Art Text Mining for Graphs	spell, sentiment, pos, ner, yake, emotion, med_ner.jsl.wip.clinical, …		Part of Speech, NER-Piple, Emotion detection, Spellchecker, Sentiment classification

Healthcare-Training

Tutorial Description	1-liners used	Open In Colab	Dataset and Paper References
Healthcare	med_ner.human_phenotype.gene_biobert, med_ner.ade_biobert, med_ner.anatomy, med_ner.bacterial_species,…		-

Multilingual-Training

Tutorial Description	1-liners used	Open In Colab	Dataset and Paper References
Part 0: Intro: 1-liners	spell, sentiment, pos, ner, bert, elmo, embed_sentence.bert		Bert-Paper, Bert Github, T-SNE, T-SNE-Bert , Part of Speech, NER-Piple, Spellchecker, Sentiment classification, Elmo-Embedding , Bert-Sentence_Embedding
Part 1: Quick Start, base-features with some classifiers on Testdata	yake, stem, ner, emotion		NER-Piple, Emotion detection
Part 2: Translate between 200+ Languages in 1 line of code with Marian-Models	en.translate_to.de, en.translate_to.fr, en.translate_to.he		Translation-Pipeline (En to Fr), Translation-Pipeline (En to Ger), Translation (En to He)
Part 3: More Multilingual NLP-translations for Asian Languages with Marian	en.translate_to.hi, en.translate_to.ru, en.translate_to.zh		Translation (En to Hi), Translation (En to Ru), Translation (En to Zh)
Part 4: Unsupervised Chinese Keyword Extraction, NER and Translation from chinese news	zh.translate_to.en, zh.segment_words, yake, zh.lemma, zh.ner		Translation-Pipeline (Zh to En), Zh-Lemmatizer
Part 5: Multilingual sentiment classifier training for 100+ languages	train.sentiment, xx.embed_sentence.labse train.sentiment	n.a.	Sentence_Embedding.Labse
Part 6: Question-answering and Text-summarization with T5-Modell	answer_question, en.t5, en.t5.base		T5-Paper
Part 7: Overview of all tasks available with T5	en.t5.base		T5-Paper
Part 8: Overview of some of the Multilingual modes with State Of the Art accuracy (1-liner)	bn.lemma, ja.lemma, am.lemma, bh.lemma, zh.segment_words, …		Bengali-Lemmatizer, Japanese-Lemmatizer , Amharic-Lemmatizer

Multilinigual-Examples

Tutorial Description	1-liners used	Open In Colab	Dataset and Paper References
Overview of some Multilingual modes avaiable with State Of the Art accuracy (1-liner)	bn.ner.cc_300d, ja.ner, zh.ner, th.ner.lst20.glove_840B_300D, ar.ner		Bengali-NER
NLU 20 Minutes Crashcourse - the fast Data Science route