Natural Language Processing with Qt

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Presentation transcript:

Natural Language Processing with Qt Sebastiano Galazzo

Summary Introduction to AI terms What it is NLP? Behind NLP Neural Networks QNeuralNetwork Demo Language analysys Third party service Microsoft LUIS QLuis

Introduction to AI terms Machine Learning: As branch of Artificial Intelligence is set of algorithms based on self-improving performance, analyzing data Artificial Intelligence: The ability of a software to perform typical human abilities and reasoning. Mix of machine learning algorithms debated among philosophers and scientists (not obvious) Cognitive Computing: Tech platform based on AI and DSP including Machine Learning NLP Vision

What’s NLP? Is a field of Artificial Intelligence as a mix of ML algorithms Involved in natural language understanding Enable computers to derive meaning from natural language input

What it is NLP? The best way to describe, is a demo Comune di Solarino AI Bot What it is NLP?

Supervised learning algorithm The goal of any supervised learning algorithm To find a function that best maps a set of inputs to its correct output An example would be a classification task Text analysis (Sentiment) Image classification

Neural Networks Neural Networks are Mathematical models inspired to biological brain neural connections. Multi-Layers Neural Networks solve linearly separable problems.

Neural Networks Akinator

Neural Networks - Backpropagation BP is a supervised learning algorithm Based on two phases Propagation Weight update

Neural Networks - Backpropagation Propagation involves the following steps: Step 1: Forward propagation of a training pattern's input through the neural network in order to generate the propagation's output activations.

Neural Networks - Backpropagation Step 2: Backward propagation of the propagation's output activations through the neural network using the training pattern target in order to generate the deltas (the difference between the targeted and actual output values) of all output and hidden neurons

Neural Networks - Backpropagation Phase 2: Weight update, for each weight-synapse follow the following steps: Multiply its output delta and input activation to get the gradient of the weight. Subtract a ratio (percentage) from the gradient of the weight.

Neural Networks in Qt Trainer Reader

Syntagmas In linguistics, a syntagma is an elementary constituent segment within a text. Such a segment can be a phoneme, a word, a grammatical phrase, a sentence Syntagmatic structure in a language is the combination of words according to the rules of syntax for that language

Syntagmas English uses determiner + adjective + noun the big house Another language might use determiner + noun + adjective (Italian, Spanish) la casa grande

Syntagmizer Tokenize the sentence Tag tokens based on language syntax rules Sentence::tag() and verbs to infinite form Assembles syntagmas based on step 2

Syntagmizer Has several rules to apply (sentence.cpp) I has been happy last night Happy should be labeled as adjective (A) but the label before is a verb, then is joined with previous Has been happy -> to be happy Syntagmizer in Qt

Microsoft LUIS luis.ai

QLuis QLuis Demo GitHub

Sebastiano Galazzo Thank you! @galazzoseba sebastiano.galazzo@gmail.com