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Natural language generation

Known as: Text generation, Natural langauge generator, Natural language generator 
Natural language generation (NLG) is the natural language processing task of generating natural language from a machine representation system such as… 
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Related topics

Related topics

29 relations
AccessibilityAggregation (linguistics)Anaphora (linguistics)Artificial intelligence

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2019
Highly Cited
2019
Semantic Noise Matters for Neural Natural Language Generation
Neural natural language generation (NNLG) systems are known for their pathological outputs, i.e. generating text which is… 
Highly Cited
2018
Highly Cited
2018
A Deep Ensemble Model with Slot Alignment for Sequence-to-Sequence Natural Language Generation
Natural language generation lies at the core of generative dialogue systems and conversational agents. We describe an ensemble… 
2018
2018
Unsupervised Natural Language Generation with Denoising Autoencoders
Generating text from structured data is important for various tasks such as question answering and dialog systems. We show that… 
Highly Cited
2013
Highly Cited
2013
Generating Natural Language Descriptions from OWL Ontologies: the NaturalOWL System
We present Naturalowl, a natural language generation system that produces texts describing individuals or classes of owl… 
Highly Cited
2013
Highly Cited
2013
Generating Natural Language Questions to Support Learning On-Line
When instructors prepare learning materials for students, they frequently develop accompanying questions to guide learning… 
Highly Cited
2000
Highly Cited
2000
Trainable Methods for Surface Natural Language Generation
We present three systems for surface natural language generation that are trainable from annotated corpora. The first two systems… 
Highly Cited
1994
Highly Cited
1994
Using Linguistic Phenomena to Motivate a Set of Coherence Relations.
The notion that a text is coherent in virtue of the “relations” that hold between the elements of that text has become fairly… 
Highly Cited
1993
Highly Cited
1993
Planning Text for Advisory Dialogues: Capturing Intentional and Rhetorical Information
To participate in a dialogue a system must be capable of reasoning about its own previous utterances. Follow-up questions must be… 
Highly Cited
1993
Highly Cited
1993
Contextual Word Similarity and Estimation From Sparse Data
In recent years there is much interest in word cooccurrence relations, such as n-grams, verb-object combinations, or cooccurrence… 
Highly Cited
1989
Highly Cited
1989
A Reactive Approach to Explanation
Explanation is an interactive process, requiring a dialogue between advice-giver and advice-seeker. Yet current expert systems… 
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