| Natural Language Understanding |
Natural Language Understanding |
101 |
Describes the ability to understand the meaning of a given situation or event. |
| Natural Language Generation |
Natural Language Generation |
102 |
Describes the ability to generate human-like text from structured data or other inputs. |
| Information Retrieval and Synthesis |
Information Retrieval and Synthesis |
103 |
Capabilities for retrieving relevant information from various sources and synthesizing it into coherent, contextually appropriate responses. This includes searching, extracting, combining, and presenting information in a meaningful way. |
| Creative Content Generation |
Creative Content Generation |
104 |
Capabilities for generating various forms of creative content, including narratives, poetry, and other creative writing forms. |
| Language Translation and Multilingual Support |
Language Translation and Multilingual Support |
105 |
Capabilities for handling multiple languages, including translation and multilingual text processing. |
| Personalisation and Adaptation |
Personalisation and Adaptation |
106 |
Capabilities for adapting and personalizing content based on user context and preferences. |
| Analytical and Logical Reasoning |
Analytical and Logical Reasoning |
107 |
Capabilities for performing logical analysis, inference, and problem-solving tasks. |
| Ethical and Safe Interaction |
Ethical and Safe Interaction |
108 |
Capabilities for ensuring ethical, unbiased, and safe content generation and interaction. |
| Text Classification |
Text Classification |
109 |
Capabilities for classifying and categorizing text into predefined categories or labels. |
| Feature Extraction |
Feature Extraction |
110 |
Capabilities for extracting and representing textual features as vectors for downstream tasks. |
| Token Classification |
Token Classification |
111 |
Capabilities for classifying individual tokens or words within text. |
| Contextual Comprehension |
Contextual Comprehension |
10101 |
Describes the ability to understand the context of a given situation or event. |
| Semantic Understanding |
Semantic Understanding |
10102 |
Describes the ability to understand the meaning of a given situation or event. |
| Entity Recognition |
Entity Recognition |
10103 |
Describes the ability to identify and classify entities in a given situation or event. |
| Text Completion |
Text Completion |
10201 |
Continuing a given text prompt in a coherent and contextually appropriate manner to generate fluent and contextually relevant content. |
| Text Summarization |
Text Summarization |
10202 |
Condensing longer texts into concise summaries while preserving essential information and maintaining coherence. |
| Text Paraphrasing |
Text Paraphrasing |
10203 |
Rewriting text to express the same ideas using different words and structures while maintaining the original meaning. |
| Dialogue Generation |
Dialogue Generation |
10204 |
Producing conversational responses that are contextually relevant and engaging within a dialogue context. |
| Question Generation |
Question Generation |
10205 |
Automatically generating relevant and meaningful questions from a given text or context. |
| Text Style Transfer |
Text Style Transfer |
10206 |
Rewriting text to match the style of a given reference text while preserving the original content. |
| Story Generation |
Story Generation |
10207 |
Generating a piece of text given a description or a first sentence to complete. |
| Fact Extraction |
Fact Extraction |
10301 |
Capability to identify and extract factual information from text documents or knowledge bases, including entities, relationships, and key data points. |
| Question Answering |
Question Answering |
10302 |
System capability to understand questions and provide accurate, relevant answers by analyzing available information sources. |
| Knowledge Synthesis |
Knowledge Synthesis |
10303 |
Capability to aggregate and combine information from multiple sources, creating comprehensive and coherent responses while maintaining context and relevance. |
| Sentence Similarity |
Sentence Similarity |
10304 |
Capability to analyze and determine the semantic similarity between sentences, supporting tasks like search, matching, and content comparison. |
| Document and Passage Retrieval |
Document and Passage Retrieval |
10305 |
Capability to identify and retrieve relevant documents or text passages based on specific criteria or queries from a larger collection of texts. |
| Search |
Search |
10306 |
Capability to perform efficient and accurate searches within large textual databases based on various criteria, including keywords, semantic meaning, or complex queries. |
| Storytelling |
Storytelling |
10401 |
Creating narratives, stories, or fictional content with creativity and coherence. |
| Poetry and Creative Writing |
Poetry and Creative Writing |
10402 |
Composing poems, prose, or other forms of creative literature. |
| Translation |
Translation |
10501 |
Converting text from one language to another while maintaining meaning and context. |
| Multilingual Understanding |
Multilingual Understanding |
10502 |
Recognising and processing text in multiple languages. |
| User Adaptation |
User Adaptation |
10601 |
Tailoring responses based on user preferences, history, or context. |
| Tone and Style Adjustment |
Tone and Style Adjustment |
10602 |
Modifying the tone or style of generated text to suit specific audiences or purposes. |
| Inference and Deduction |
Inference and Deduction |
10701 |
Making logical inferences based on provided information. |
| Problem Solving |
Problem Solving |
10702 |
Assisting with solving problems by generating potential solutions or strategies. |
| Fact and Claim Verification |
Fact and Claim Verification |
10703 |
Verifying facts and claims given a reference text. |
| Bias Mitigation |
Bias Mitigation |
10801 |
Reducing or eliminating biased language and ensuring fair and unbiased output. |
| Content Moderation |
Content Moderation |
10802 |
Avoiding the generation of harmful, inappropriate, or sensitive content. |
| Topic Labelling and Tagging |
Topic Labelling and Tagging |
10901 |
Classifying a text as belonging to one of several topics, which can be used to tag a text. |
| Sentiment Analysis |
Sentiment Analysis |
10902 |
Classify the sentiment of a text, e.g., a positive movie review. |
| Natural Language Inference |
Natural Language Inference |
10903 |
Classifying the relation between two texts, e.g., as a contradiction, entailment, etc. |
| Model Feature Extraction |
Model Feature Extraction |
11001 |
Representing parts of text with vectors to be used as input to other tasks. |
| Named Entity Recognition |
Named Entity Recognition |
11101 |
Task to recognise names as entities, e.g., people, locations, buildings, etc. |
| Part-of-Speech Tagging |
Part-of-Speech Tagging |
11102 |
Tagging each part of a sentence as nouns, adjectives, verbs, etc. |