
QA: Question Answering
QA, or Question Answering, is a subfield of Artificial Intelligence (AI) that focuses on developing systems capable of answering questions formulated in English.
QA, or Question Answering, is a subfield of Artificial Intelligence (AI) that focuses on developing systems capable of answering questions formulated in English.
Machine Translation (MT) is a sub-area of Artificial Intelligence (AI) dedicated to the development of systems capable of translating text from one language to another.
Speech Recognition (SR) is a technology that allows the conversion of human speech into digital text. This process involves several
Speech Synthesis, also known as SS (Speech Synthesis), is a technology that allows the conversion of text into speech. This process involves the
Word Sense Disambiguation (WSD) is a task in Natural Language Processing (NLP) that aims to identify the correct meaning of a polysemous word (with
Part of Speech (POS) Tagging is a fundamental technique in natural language processing (NLP) that consists of identifying and classifying words in
Named Entity Recognition (NER), also known as named entity identification, is a key technique in the field of Natural Language Processing (NLP) that aims to
Sentiment analysis (SA) is a subfield of artificial intelligence and natural language processing that seeks to interpret and extract emotions
Text Classification (TC) is a machine learning and natural language processing process that consists of assigning predefined categories
Textual Entailment (TE) is a task in Natural Language Processing (NLP) that aims to determine the logical relationship between two textual statements: the first called
Knowledge Distillation (KD) is a technique in machine learning that involves transferring knowledge from a large, complex neural network model,
Active Learning (AL) is a machine learning technique in which the model actively selects the most informative data to be labeled by a
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