Natural language generation

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Explore the main themes, entities and connections around Natural language generation. Start with the topic map, then use the sections below for research and deeper semantic analysis.

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Applications

Data analysis UK Met Office's Gartner Automated journalism Accessibility

18 related topics

Stages

Content determination Document structuring Aggregation Lexical choice Referring expression generation

14 related topics

Overview

Natural language Summarization Translation Paraphrasing Question answering

19 related topics

Evaluation

BLEU METEOR ROUGE LEPOR MAUVE

7 related topics

Topics to explore

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Overview

Natural language
Summarization Automatic summarization
Translation Machine translation
Paraphrasing Paraphrasing (computational linguistics)
Question answering
Chatbots Chatbot
ChatGPT
Psycholinguists
Language production
Translators Translator (computing)
Decompilers Decompiler
Transpilers Transpiler
Intermediate representation
Natural language understanding
ELIZA
Mail merge
Form letters Form letter
Machine learning
Corpus Text corpus

Stages

Content determination
Document structuring
Aggregation Aggregation (linguistics)
Lexical choice
Referring expression generation
Referring expressions Referring expression
Pronouns
Anaphora Anaphora (linguistics)
Realization Realization (linguistics)
Syntax
Morphology Morphology (linguistics)
Orthography
LSTM Long short-term memory
Image captioning Automatic image annotation

Applications

Evaluation

BLEU
METEOR
ROUGE ROUGE (metric)
LEPOR
MAUVE MAUVE (metric)
Machine translation Evaluation of machine translation
Hallucination Hallucination (artificial intelligence)

Advanced semantic analysis

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Map overview Semantic statistics

Nodes63

Edges62

Triples64

Avg. degree1.97

Density0.031746

Components1

How this topic connects Entity context

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Natural language generation

Top relations

related to Further reading · 32

Natural language generation → Albert, Art, Artificial Intelligence Research, Building, Cahill, Cambridge, Cambridge University Press, Core, Dale, Ehud, Emiel, Evans, How, INLG2002, ISBN, Journal, Krahmer, Learn, Lynne, New York

Important terminology Word statistics

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Important terminology

nlg systems language human generation text data system also input image example output generated natural process metrics evaluation well generating

Entity relationships Subject–Predicate–Object triples

Subject	Predicate	Object	Confidence	Src
horoscope machines or generators of personalized business letters	instance of	The results may be satisfactory in simple domains	0.80	text
AlexNet	instance of	Recent research utilizes deep learning approaches through features from a pre-trained convolutional neural network	0.80	text
VGG or Caffe	instance of	Recent research utilizes deep learning approaches through features from a pre-trained convolutional neural network	0.80	text
where caption generators use an activation layer from the pre-trained network as their input features	instance of	Recent research utilizes deep learning approaches through features from a pre-trained convolutional neural network	0.80	text
neural networks	instance of	MS COCO and other large datasets have enabled the training of more complex models	0.80	text
it has been argued that research in image captioning could benefit from larger	instance of	MS COCO and other large datasets have enabled the training of more complex models	0.80	text
diversified datasets	instance of	MS COCO and other large datasets have enabled the training of more complex models	0.80	text
GPT-3 has also enabled breakthroughs	instance of	The advent of large pretrained transformer-based language models	0.80	text
with such models demonstrating recognizable ability for creating-writing tasks.A related area of NLG application is computational humor production	instance of	The advent of large pretrained transformer-based language models	0.80	text
fluency	instance of	Humans can assess qualities	0.80	text
faithfulness	instance of	Humans can assess qualities	0.80	text
and coherence	instance of	Humans can assess qualities	0.80	text

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Research this topic

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Applications

Stages

Overview

Evaluation

Key facts & relationships

Topics to explore

Overview

Stages

Applications

Evaluation

Advanced semantic analysis

Map overview Semantic statistics

Natural language generation

How this topic connects Entity context

Natural language generation

Top relations

Important terminology Word statistics

Important terminology

Entity relationships Subject–Predicate–Object triples

Related concept clusters Concept neighborhoods

Connections between topic areas Semantic bridges