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1. cs.stanford.edu › ~zxie › textgenNeural Text Generation: A Practical Guide - Stanford University

   cs.stanford.edu › ~zxie › textgen

   natural language generation (NLG), which entails generating documents or longer descriptions from structured data. The primary focus is on tasks where the target is a single sentence| hence the term \text generation" as opposed to \language generation". Although the eld is evolving quickly, there are still many tasks where older rule or template-

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2. arxiv.org › abs › 2405[2405.15604] Text Generation: A Systematic Literature Review ...

   arxiv.org › abs › 2405

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   4 days ago · Text generation has become more accessible than ever, and the increasing interest in these systems, especially those using large language models, has spurred an increasing number of related publications. We provide a systematic literature review comprising 244 selected papers between 2017 and 2024. This review categorizes works in text generation into five main tasks: open-ended text ...

3. People also ask

   What is text generation?

   • Text generation is a subfield of natural language processing. It leverages knowledge in computational linguistics and artificial intelligence to automatically generate natural language texts, which can satisfy certain communicative requirements. Research work in the text generation field first appeared in the 1970s.

   Text Generation | SpringerLink

   link.springer.com/referenceworkentry/10.1007/978-0-387-39940-9_416

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   What is text generation (NLG)?

   • Text Generation, or Natural language generation (NLG), is usually compared with another subfield of natural language processing – natural language understanding (NLU), which is generally considered as the inverse process of the former.

   Text Generation | SpringerLink

   link.springer.com/referenceworkentry/10.1007/978-0-387-39940-9_416

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   What is input and output of text generation system?

   • The input of text generation system is information represented in non-linguistic format, such as numerical, symbolical, graphical, etc. The output is understandable natural language in text format, such as messages, documents, reports, etc.

   Text Generation | SpringerLink

   link.springer.com/referenceworkentry/10.1007/978-0-387-39940-9_416

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   What architecture is used for text generation?

   • Despite difference in application backgrounds and realization details, many of the current text generation systems followed a general architecture, which is known as the Pipelined Architecture or Consensus Architecture, usually described as in Fig. 1 ( [ 11 ]; Edward Hovy also had a similar representation for this architecture). Text Generation.

   Text Generation | SpringerLink

   link.springer.com/referenceworkentry/10.1007/978-0-387-39940-9_416

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4. arxiv.org › pdf › 2005Exploring Controllable Text Generation Techniques - arXiv.org

   arxiv.org › pdf › 2005

   Exploring Controllable Text Generation Techniques Shrimai Prabhumoye, Alan W Black, Ruslan Salakhutdinov School of Computer Science Carnegie Mellon University Pittsburgh, PA, USA fsprabhum, awb, rsalakhu@cs.cmu.edug Abstract Neural controllable text generation is an impor-tant area gaining attention due to its plethora of applications.

   • Author: Shrimai Prabhumoye, Alan W Black, Ruslan Salakhutdinov

   • Publish Year: 2020

5. olst.ling.umontreal.ca › static › pdfEngineering Text Generation - Université de Montréal

   olst.ling.umontreal.ca › static › pdf

   So much for “natural” Text Generation. We can now slightly modify the above definition in order to define “artificial” (or automatic) Text Generation, which is what concerns us here: Text Generation (hereafter, TG) is the automatic production, by means of computer programs, of texts — i.e. coherent sets of communicatively connected ...

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7. link.springer.com › referenceworkentry › 10Text Generation | SpringerLink

   link.springer.com › referenceworkentry › 10

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   Text Generation, or Natural language generation (NLG), is usually compared with another subfield of natural language processing – natural language understanding (NLU), which is generally considered as the inverse process of the former. Because in a highly abstract level, NLG task synthesizes machine representation of information into natural ...

8. cs230.stanford.edu › projects_fall_2020 › reportsExploring ways of Generating Free Text Unconditionally and ...

   cs230.stanford.edu › projects_fall_2020 › reports

   text generation based on a chosen genre. 1 Introduction Text generation is a common task in many NLP domains, ranging from text summarization to machine translation or even poetry generation. Our goal is to design an efficient language model to generate short text snippets in

9. www.researchgate.net › 2415946_Text_Generation(PDF) Text Generation - ResearchGate

   www.researchgate.net › 2415946_Text_Generation

   Jun 19, 2002 · Text generation or natural language generation (NLG) is the task of developing a method to generate the realistic synthetic human languages [5]. In current, statistical methods and Neural Networks ...