Translation is the task of translating a sentence in a source language to a different target language.
Summarization is the task of producing a shorter version of one or several documents that preserves most of the input's meaning.
Sentiment Analysis is the task of classifying the polarity of a given text. For instance, a text-based tweet can be categorized into either "positive", "negative", or "neutral".
Named Entity Recognition (NER) is a task that involves identifying and classifying named entities in a text into predefined categories such as person names, organizations, locations, and others. The goal of NER is to extract structured information from unstructured text data and represent it in a machine-readable format.
Part-of-speech tagging (POS tagging) is the task of tagging a word in a text with its part of speech.
Question Answering is the task of answering questions (typically reading comprehension questions), but abstaining when presented with a question that cannot be answered based on the provided context.
Keyword extraction is the task of identifying the terms that best describe the subject of a document
Text Classification is the task of assigning a sentence or document an appropriate category. The categories depend on the chosen dataset and can range from topics.
The task of filling blanks in a sentence
Text Generation is the task of generating text with the goal of appearing indistinguishable to human-written text.