Flexible natural language generation in multiple contexts

Caroline Cullen; Ian O'Neill; Philip Hanna

doi:10.1007/978-3-642-04235-5_13

Flexible natural language generation in multiple contexts

Caroline Cullen, Ian O'Neill, Philip Hanna

School of Electronics, Electrical Engineering and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

277 Downloads (Pure)

Abstract

We present a practical approach to Natural Language Generation (NLG) for spoken dialogue systems. The approach is based on small template fragments (mini-templates). The system’s object architecture facilitates generation of phrases across pre-defined business domains and registers, as well as into different languages. The architecture simplifies NLG in well-understood application contexts, while providing the flexibility for a developer and for the system, to vary linguistic output according to dialogue context, including any intended affective impact. Mini-templates are used with a suite of domain term objects, resulting in an NLG system (MINTGEN – MINi-Template GENerator) whose extensibility and ease of maintenance is enhanced by the sparsity of information devoted to individual domains. The system also avoids the need for specialist linguistic competence on the part of the system maintainer.

Original language	English
Title of host publication	Human Language Technology. Challenges of the Information Society . Third Language and Technology Conference, LTC 2007: Proceedings (Revised Selected Papers)
Publisher	Springer
Pages	142-153
Number of pages	12
ISBN (Electronic)	9783642042355
ISBN (Print)	9783642042348
DOIs	https://doi.org/10.1007/978-3-642-04235-5_13
Publication status	Published - 25 Aug 2009
Event	Third Language and Technology Conference, LTC 2007 - Poznan, Poland Duration: 05 Oct 2007 → 07 Oct 2007

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer Verlag
Volume	5603
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Name	Lecture Notes in Artificial Intelligence
Publisher	Springer
ISSN (Print)	2945-9133
ISSN (Electronic)	2945-9141

Conference

Conference	Third Language and Technology Conference, LTC 2007
Country/Territory	Poland
City	Poznan
Period	05/10/2007 → 07/10/2007

Access to Document

10.1007/978-3-642-04235-5_13Licence: Unspecified

Flexible natural language generation in multiple contexts
© 2009 Springer. This work is made available online in accordance with the publisher’s policies. Please refer to any applicable terms of use of the publisher.
Accepted author manuscript, 118 KBLicence: Unspecified

Cite this

Cullen, C., O'Neill, I., & Hanna, P. (2009). Flexible natural language generation in multiple contexts. In Human Language Technology. Challenges of the Information Society . Third Language and Technology Conference, LTC 2007: Proceedings (Revised Selected Papers) (pp. 142-153). (Lecture Notes in Computer Science ; Vol. 5603), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-642-04235-5_13

Cullen, Caroline ; O'Neill, Ian ; Hanna, Philip. / Flexible natural language generation in multiple contexts. Human Language Technology. Challenges of the Information Society . Third Language and Technology Conference, LTC 2007: Proceedings (Revised Selected Papers). Springer, 2009. pp. 142-153 (Lecture Notes in Computer Science ). (Lecture Notes in Artificial Intelligence).

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abstract = "We present a practical approach to Natural Language Generation (NLG) for spoken dialogue systems. The approach is based on small template fragments (mini-templates). The system{\textquoteright}s object architecture facilitates generation of phrases across pre-defined business domains and registers, as well as into different languages. The architecture simplifies NLG in well-understood application contexts, while providing the flexibility for a developer and for the system, to vary linguistic output according to dialogue context, including any intended affective impact. Mini-templates are used with a suite of domain term objects, resulting in an NLG system (MINTGEN – MINi-Template GENerator) whose extensibility and ease of maintenance is enhanced by the sparsity of information devoted to individual domains. The system also avoids the need for specialist linguistic competence on the part of the system maintainer.",

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Cullen, C, O'Neill, I & Hanna, P 2009, Flexible natural language generation in multiple contexts. in Human Language Technology. Challenges of the Information Society . Third Language and Technology Conference, LTC 2007: Proceedings (Revised Selected Papers). Lecture Notes in Computer Science , vol. 5603, Lecture Notes in Artificial Intelligence, Springer, pp. 142-153, Third Language and Technology Conference, LTC 2007, Poznan, Poland, 05/10/2007. https://doi.org/10.1007/978-3-642-04235-5_13

Flexible natural language generation in multiple contexts. / Cullen, Caroline; O'Neill, Ian ; Hanna, Philip.
Human Language Technology. Challenges of the Information Society . Third Language and Technology Conference, LTC 2007: Proceedings (Revised Selected Papers). Springer, 2009. p. 142-153 (Lecture Notes in Computer Science ; Vol. 5603), (Lecture Notes in Artificial Intelligence).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Flexible natural language generation in multiple contexts

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N2 - We present a practical approach to Natural Language Generation (NLG) for spoken dialogue systems. The approach is based on small template fragments (mini-templates). The system’s object architecture facilitates generation of phrases across pre-defined business domains and registers, as well as into different languages. The architecture simplifies NLG in well-understood application contexts, while providing the flexibility for a developer and for the system, to vary linguistic output according to dialogue context, including any intended affective impact. Mini-templates are used with a suite of domain term objects, resulting in an NLG system (MINTGEN – MINi-Template GENerator) whose extensibility and ease of maintenance is enhanced by the sparsity of information devoted to individual domains. The system also avoids the need for specialist linguistic competence on the part of the system maintainer.

AB - We present a practical approach to Natural Language Generation (NLG) for spoken dialogue systems. The approach is based on small template fragments (mini-templates). The system’s object architecture facilitates generation of phrases across pre-defined business domains and registers, as well as into different languages. The architecture simplifies NLG in well-understood application contexts, while providing the flexibility for a developer and for the system, to vary linguistic output according to dialogue context, including any intended affective impact. Mini-templates are used with a suite of domain term objects, resulting in an NLG system (MINTGEN – MINi-Template GENerator) whose extensibility and ease of maintenance is enhanced by the sparsity of information devoted to individual domains. The system also avoids the need for specialist linguistic competence on the part of the system maintainer.

U2 - 10.1007/978-3-642-04235-5_13

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T3 - Lecture Notes in Computer Science

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BT - Human Language Technology. Challenges of the Information Society . Third Language and Technology Conference, LTC 2007: Proceedings (Revised Selected Papers)

PB - Springer

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Cullen C, O'Neill I , Hanna P. Flexible natural language generation in multiple contexts. In Human Language Technology. Challenges of the Information Society . Third Language and Technology Conference, LTC 2007: Proceedings (Revised Selected Papers). Springer. 2009. p. 142-153. (Lecture Notes in Computer Science ). (Lecture Notes in Artificial Intelligence). doi: 10.1007/978-3-642-04235-5_13

Flexible natural language generation in multiple contexts

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