Notes: OWL, or Web Ontology Language, is a language that is used to create ontologies. An ontology is a formal representation of a set of concepts and relationships within a specific domain….
Category: 2019
Intent, Named Entity & Chatbots
Notes: A named entity is a real-world object or concept that can be identified and labeled with a proper name or noun. Named entities can include people, places, organizations, products, and events,…
Discourse Representation Structure
Notes: Discourse Representation Theory (DRT) is a linguistic theory that proposes that the meaning of a sentence is determined by the context in which it is used. DRT uses a formal system…
Dialog Act Recognition
Notes: A dialog act refers to the communicative intention of an utterance in a conversation, such as asking a question, making a statement, or issuing a command. It is a way of…
LSTM (Long Short Term Memory) & Dialog Systems
Notes: LSTM is a type of artificial neural network that is well-suited for processing sequential data, such as time series or natural language text. It is a variant of the RNN architecture,…
Text Summarization
Notes: Text summarization is the process of generating a shorter version of a longer text document while preserving its key information and main points. Text summarization can be useful for tasks such…
Cosine Similarity, Semantic Similarity & Dialog Systems
Notes: Cosine similarity and semantic similarity are two measures of similarity that can be used in dialog systems to determine how closely related two pieces of text are. These measures can be…
Question Generation Systems
Notes: Question generation systems are software tools or AI systems that are designed to automatically generate questions based on a given input. These systems can be used for a variety of purposes,…
Gradient Boosting & Chatbots
Notes: Gradient boosting is a machine learning technique that involves training a sequence of weak prediction models, typically decision trees, in a stage-wise manner. The predictions made by each tree are combined…
Data-to-Text Generation
Notes: Data-to-text generation is a type of natural language processing task that involves generating human-readable text from structured data. This can involve generating descriptions, summaries, reports, or other types of text that…