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NLP & Transformer Models - Coggle Diagram
NLP & Transformer Models
Transformer Models
are used to solve all
kinds of NLP tasks
Working with pipelines
currently available pipelines
feature-extraction (get the vector representation of a text)
fill-mask
ner (named entity recognition)
question-answering
sentiment-analysis
summarization
text-generation
translation
zero-shot-classification
Arch introduced in 2017
What
a list of common NLP tasks
Classifying whole sentences
: Getting the sentiment of a review, detecting if an email is spam, determining if a sentence is grammatically correct or whether two sentences are logically related or not
Classifying each word in a sentence
: Identifying the grammatical components of a sentence (noun, verb, adjective), or the named entities (person, location, organization)
Generating text content
: Completing a prompt with auto-generated text, filling in the blanks in a text with masked words
Extracting an answer from a text
: Given a question and a context, extracting the answer to the question based on the information provided in the context
Generating a new sentence from an input text
: Translating a text into another language, summarizing a text