Template Based Natural Language

Notes:

Template-based natural language generation (TBNLG) is a technique used in natural language processing (NLP) to automatically generate text based on pre-defined templates. These templates are created by a human language expert and contain placeholders for data that can be filled in to produce a complete sentence or paragraph. TBNLG is often used in applications such as chatbots, where the system can generate appropriate responses to user input by selecting the appropriate template and filling in the necessary data. TBNLG can also be used in other applications that require the generation of large amounts of text, such as automated report generation or content creation for websites.

Domain adaptable natural language generation (NLG) system is a type of NLG system that is able to adapt to different domains or subject areas. This means that the system can generate natural language text that is appropriate for a wide range of topics, rather than being limited to a specific domain.
Statistical natural language generation (NLG) is a method of generating natural language text using statistical models. These models are trained on large datasets of human-generated text and use statistical techniques to generate text that is similar to the training data.
Template-based natural language generation (NLG) is a method of generating natural language text by filling in pre-defined templates with appropriate content. For example, a template might be defined for generating a weather forecast, with placeholders for the location, temperature, and forecast. The NLG system would then fill in the placeholders with the appropriate content to generate a complete weather forecast.
Template-based natural language generation module is a component of an NLG system that is responsible for generating text using template-based NLG. This module would take input data and use it to fill in the placeholders in the templates, resulting in generated natural language text.
Template-based natural language generation (NLG) system is a system that is designed to generate natural language text using templates. These templates define the structure of the generated text and may include placeholders for content that is to be filled in by the NLG system.
Template-based natural language generator is a component of an NLG system that is responsible for generating natural language text using templates. It may use input data to fill in the placeholders in the templates, resulting in generated natural language text.
Template-based natural language sentences are sentences that are generated using templates. These sentences follow the structure defined by the templates and may include placeholders for content that is to be filled in by the NLG system.
Template-based natural language specification is a set of templates and rules for generating natural language text using those templates. It defines the structure and content of the generated text and may include additional information such as the vocabulary to be used or the style of the text.

Resources:

References:

Table of NLG systems – NLG Systems Wiki (2011)

Representation of conceptual ETL designs in natural language using Semantic Web technology A Simitsis, D Skoutas, M Castellanos – Data & Knowledge Engineering, 2010 – Elsevier Extract-Transform-Load (ETL) processes constitute the back stage of Data Warehouse architectures. Several studies characterize the ETL design as a time-consumin. Cited by 21 Related articles All 3 versions

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DEXTOR: Reduced Effort Authoring for Template-Based Natural Language Generation. KS Narayan, CL Isbell Jr, DL Roberts – AIIDE, 2011 – csc.ncsu.edu Abstract A growing issue in the development of realistic and entertaining interactive games is the need for mechanisms that support ongoing natural language conversation between human players and artificial non-player characters. Unfortunately, many methods for … Cited by 3 Related articles All 6 versions

Real vs. template-based natural language generation: a false opposition? K van Deemter, E Krahmer, M Theune – May I Speak Freely – utrecht.cs.utwente.nl This paper challenges the received wisdom that template-based approaches to the generation of language are necessarily inferior to other approaches as regards their maintainability, linguistic well-foundedness and quality of output. Some recent NLG … Cited by 2 Related articles All 28 versions

[BOOK] Reinforcement learning for adaptive dialogue systems: A data-driven methodology for dialogue management and natural language generation V Rieser, O Lemon – 2011 – books.google.com Page 1. Theory and Applications of Natural Language Processing Monographs Werena Rieser Oliver Lemon Reinforcement Learning for Adaptive Dialogue Systems A Data-driven Methodology for Dialogue Management and Natural Language Generation 2) Springer Page 2. … Cited by 35 Related articles All 7 versions

Beyond audio and video retrieval: towards multimedia summarization D Ding, F Metze, S Rawat, PF Schulam… – Proceedings of the 2nd …, 2012 – dl.acm.org … problem. We extract visual concept features and ASR transcription features from a given video, and develop a template-based natural language generation system to produce a textual recounting based on the extracted features. … Cited by 18 Related articles

The ucsCNL: A Controlled Natural Language for Use Case Specifications. FA Barros, L Neves, É Hori, D Torres – SEKE, 2011 – researchgate.net … language-like’ functional specifications. Requirements are represented using a Template Based Natural Language Specification (TBNLS), where each requirement corresponds to a TBNLS representa- tion. These TBNLSs are … Cited by 6 Related articles All 2 versions

Lazy combinators for executable specifications of general attribute grammars R Hafiz, RA Frost – Practical Aspects of Declarative Languages, 2010 – Springer Page 1. Lazy Combinators for Executable Specifications of General Attribute Grammars Rahmatullah Hafiz and Richard A. Frost School of Computer Science, University of Windsor 401 Sunset Avenue Windsor, ON N9B 3P4 Canada {hafiz,richard}@uwindsor.ca Abstract. … Cited by 13 Related articles All 12 versions

Computational creativity tools for songwriters B Settles – Proceedings of the NAACL HLT 2010 Second …, 2010 – dl.acm.org … S. Davis. 1992. The Songwriters Idea Book. Writer’s Digest Books. K. Deemter, M. Theune, and E. Krahmer. 2005. Real versus template-based natural language generation: a false opposition? Computational Linguistics, 31(1):15–24. M. Farbood and B. Schoner. 2001. … Cited by 7 Related articles All 15 versions

Generating natural language descriptions from OWL ontologies: the NaturalOWL system I Androutsopoulos, G Lampouras, D Galanis – Journal of Artificial …, 2013 – jair.org Page 1. Journal of Artificial Intelligence Research 48 (2013) 671-715 Submitted 04/13; published 11/13 Generating Natural Language Descriptions from OWL Ontologies: the NaturalOWL System Ion Androutsopoulos ion@aueb.gr … Cited by 8 Related articles All 5 versions

Tool support for the test template framework M Cristiá, P Albertengo, C Frydman… – Software Testing, …, 2014 – Wiley Online Library Skip to Main Content. Wiley Online Library. Log in / Register. Log In E-Mail Address Password Forgotten Password? Remember Me. … Cited by 10 Related articles All 3 versions

Markov Constraints for Generating Lyrics with Style. G Barbieri, F Pachet, P Roy, M Degli Esposti – ECAI, 2012 – books.google.com … [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] K. Deemter, M. Theune, and E. Krahmer,’Real versus template-based natural language generation: A false opposition?’, Computational Lin- guistics, 31 (1), 15–24,(March 2005). … Cited by 11 Related articles All 11 versions

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Cooperative knowledge based perceptual anchoring M Daoutis, S Coradeschi, A Loutfi – International Journal on Artificial …, 2012 – World Scientific Page 1. 1st Reading May 30, 2012 15:37 WSPC/INSTRUCTION FILE S0218213012500121 International Journal on Artificial Intelligence Tools Vol. 21, No. 3 (2012) 1250012 (44 pages) c World Scientific Publishing Company DOI: 10.1142/S0218213012500121 … Cited by 10 Related articles All 8 versions

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Improving accessibility to mathematical formulas: the Wikipedia Math Accessor J Fuentes Sepúlveda, L Ferres – New Review of Hypermedia and …, 2012 – Taylor & Francis … devoted to the detection of mathematical formulas in Wikipedia pages, together with a process that translates from LaTeX to a more structured, less ambiguous representation written in MathML (specifically content MathML), a template-based natural language generation (NLG … Cited by 4 Related articles All 5 versions

Domain adaptable semantic clustering in statistical nlg B Howald, R Kondadadi, F Schilder – Proceedings of the 10th International …, 2013 – Citeseer … 04′), pp. 79. van Deemter, K., M. Theune, and E. Krahmer (2005). Real vs. template-based natural language genera- tion: a false opposition? Computational Linguistics 31(1), 15–24. Witten, I. and E. Frank (2005). Data Mining … Cited by 3 Related articles All 7 versions

Improving accessibility to mathematical formulas: the Wikipedia math accessor L Ferres, JF Sepúlveda – Proceedings of the International Cross- …, 2011 – dl.acm.org … to the detection of mathematical formulas in a Wikipedia page, together with a process that translates from LATEX to a more structured, less ambiguous representation written in MathML (specifically content MathML), a template-based natural language generation system like … Cited by 3 Related articles All 5 versions

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Supervised collaboration for syntactic annotation of Quranic Arabic K Dukes, E Atwell, N Habash – Language resources and evaluation, 2013 – Springer … Collaborators can view further detail for an individual word by clicking through to the analysis web page, where template-based Natural Language Generation (NLG) is used to generate a more detailed grammatical summary for each word in the corpus (Fig. … Cited by 23 Related articles All 11 versions

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Feedback Generation API for Tutoring Systems D Bueno, RE Rabe, RVJ Regalado, B Sy – dlsu.edu.ph … It aims to enhance how to deliver feedback effectively to enhance learning especially for children 6-8 years old. The said API uses template-based Natural Language Generation (NLG) tools and techniques to produce its feedbacks. 2. RELATED LITERATURE … Related articles

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A Discriminative Classification-Based Approach to Information State Updates for a Multi-Domain Dialog System. DZ Hakkani-Tür, G Tür, LP Heck, A Fidler… – …, 2012 – research.microsoft.com … Next, a template-based natural language generation (NLG) component is used to request more information from the user or to provide feedback to the user about the results being displayed and about system’s interpre- tation of the user’s utterance. … Related articles All 8 versions

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Automating Smartphones by Demonstration R de Andrade Maués – 2014 – dbd.puc-rio.br Page 1. Rodrigo de Andrade Maués Keep Doing What I Just Did: Automating Smartphones by Demonstration DISSERTAÇÃO DE MESTRADO Dissertation presented to the Programa de Pós- Graduação em Informática of the … Related articles All 2 versions

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