Chatbot

Machine Translation

The use of AI to automatically translate text or speech from one natural language to another.

Question Answering

An NLP task where a system automatically answers questions posed in natural language based on given context.

Text Generation

The process of producing coherent and contextually relevant text using AI language models.

Conversational AI

AI systems designed to engage in natural, context-aware dialogue with humans across multiple turns.

Dialogue System

A computer system designed to converse with humans, encompassing task-oriented and open-domain conversation.

Top-K Sampling

A text generation strategy that restricts the model to sampling from the K most probable next tokens.

Text-to-SQL

The task of automatically converting natural language questions into executable SQL queries, enabling non-technical users to interrogate databases through conversational interfaces.

Extractive Summarisation

A summarisation technique that identifies and selects the most important sentences from a source document to compose a condensed version without generating new text.

Intent Detection

The classification of user utterances into predefined categories representing the user's goal or purpose, a fundamental component of conversational AI and chatbot systems.

Dialogue Management

The component of conversational systems that tracks conversation state, determines the next system action, and maintains coherent multi-turn interactions with users.

The task of assigning predefined categories or labels to text documents based on their content.

An NLP task that identifies and classifies named entities in text into categories like person, organisation, and location.

The generation of machine-readable formatted responses such as JSON, XML, or code from language models, enabling reliable integration with downstream software systems.

Connecting language model outputs to real-world knowledge, facts, or data sources to improve factual accuracy.

Training a language model to follow natural language instructions by fine-tuning on instruction-response pairs.

The maximum number of tokens a language model can process in a single input-output interaction.

Identifying semantic relationships between entities mentioned in text.

The subfield of NLP concerned with producing natural language text from structured data or representations.