Determining Content for Unknown Users: Lessons from the MinkApp Case Study

Gemma Webster; Somayajulu G. Sripada; Chris Mellish; Yolanda Melero; Koen Arts; Xavier Lambin; Rene Van Der Wal

doi:10.3115/v1/W14-4417

Determining Content for Unknown Users: Lessons from the MinkApp Case Study

Gemma Webster
, Somayajulu G. Sripada
, Chris Mellish
, Yolanda Melero
, Koen Arts
, Xavier Lambin
, Rene Van Der Wal

Computing

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

3 Citations (Scopus)

Abstract

If an NLG system needs to be put in place as soon as possible it is not always possible to know in advance who the users of a system are or what kind of information will interest them. This paper describes the development of a system and contextualized text for unknown users. We describe the development, design and initial findings with a system for unknown users that allows the users to design their own contextualised text.

Original language	English
Title of host publication	INLG 2014 - Proceedings of the 8th International Natural Language Generation Conference,
Subtitle of host publication	including - Proceedings of the INLG and SIGDIAL 2014 Joint Session
Editors	Margaret Mitchell, Kathleen McCoy, David McDonald, Aoife Cahill
Publisher	Association for Computational Linguistics (ACL)
Pages	113-117
Number of pages	5
ISBN (Electronic)	9781941643228
DOIs	https://doi.org/10.3115/v1/W14-4417
Publication status	Published - Jun 2014
Event	8th International Natural Language Generation Conference, INLG 2014 - Philadelphia, United States Duration: 19 Jun 2014 → 21 Jun 2014

Conference

Conference	8th International Natural Language Generation Conference, INLG 2014
Country/Territory	United States
City	Philadelphia
Period	19/06/14 → 21/06/14

ASJC Scopus subject areas

Software

Access to Document

10.3115/v1/W14-4417Licence: CC BY-NC

Cite this

Webster, G., Sripada, S. G., Mellish, C., Melero, Y., Arts, K., Lambin, X., & Van Der Wal, R. (2014). Determining Content for Unknown Users: Lessons from the MinkApp Case Study. In M. Mitchell, K. McCoy, D. McDonald, & A. Cahill (Eds.), INLG 2014 - Proceedings of the 8th International Natural Language Generation Conference, : including - Proceedings of the INLG and SIGDIAL 2014 Joint Session (pp. 113-117). Association for Computational Linguistics (ACL). https://doi.org/10.3115/v1/W14-4417

Webster, Gemma ; Sripada, Somayajulu G. ; Mellish, Chris et al. / Determining Content for Unknown Users : Lessons from the MinkApp Case Study. INLG 2014 - Proceedings of the 8th International Natural Language Generation Conference, : including - Proceedings of the INLG and SIGDIAL 2014 Joint Session. editor / Margaret Mitchell ; Kathleen McCoy ; David McDonald ; Aoife Cahill. Association for Computational Linguistics (ACL), 2014. pp. 113-117

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abstract = "If an NLG system needs to be put in place as soon as possible it is not always possible to know in advance who the users of a system are or what kind of information will interest them. This paper describes the development of a system and contextualized text for unknown users. We describe the development, design and initial findings with a system for unknown users that allows the users to design their own contextualised text.",

author = "Gemma Webster and Sripada, \{Somayajulu G.\} and Chris Mellish and Yolanda Melero and Koen Arts and Xavier Lambin and \{Van Der Wal\}, Rene",

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Webster, G, Sripada, SG, Mellish, C, Melero, Y, Arts, K, Lambin, X & Van Der Wal, R 2014, Determining Content for Unknown Users: Lessons from the MinkApp Case Study. in M Mitchell, K McCoy, D McDonald & A Cahill (eds), INLG 2014 - Proceedings of the 8th International Natural Language Generation Conference, : including - Proceedings of the INLG and SIGDIAL 2014 Joint Session. Association for Computational Linguistics (ACL), pp. 113-117, 8th International Natural Language Generation Conference, INLG 2014, Philadelphia, United States, 19/06/14. https://doi.org/10.3115/v1/W14-4417

Determining Content for Unknown Users: Lessons from the MinkApp Case Study. / Webster, Gemma; Sripada, Somayajulu G.; Mellish, Chris et al.
INLG 2014 - Proceedings of the 8th International Natural Language Generation Conference, : including - Proceedings of the INLG and SIGDIAL 2014 Joint Session. ed. / Margaret Mitchell; Kathleen McCoy; David McDonald; Aoife Cahill. Association for Computational Linguistics (ACL), 2014. p. 113-117.

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

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T1 - Determining Content for Unknown Users

T2 - 8th International Natural Language Generation Conference, INLG 2014

AU - Webster, Gemma

AU - Sripada, Somayajulu G.

AU - Mellish, Chris

AU - Melero, Yolanda

AU - Arts, Koen

AU - Lambin, Xavier

AU - Van Der Wal, Rene

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M3 - Conference contribution

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EP - 117

BT - INLG 2014 - Proceedings of the 8th International Natural Language Generation Conference,

A2 - Mitchell, Margaret

A2 - McCoy, Kathleen

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ER -

Webster G, Sripada SG, Mellish C, Melero Y, Arts K, Lambin X et al. Determining Content for Unknown Users: Lessons from the MinkApp Case Study. In Mitchell M, McCoy K, McDonald D, Cahill A, editors, INLG 2014 - Proceedings of the 8th International Natural Language Generation Conference, : including - Proceedings of the INLG and SIGDIAL 2014 Joint Session. Association for Computational Linguistics (ACL). 2014. p. 113-117 doi: 10.3115/v1/W14-4417

Determining Content for Unknown Users: Lessons from the MinkApp Case Study

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