Standard
Modelling the interpretation of novel compounds. /
Lynott, Dermot; Keane, Mark T.
ECAI 2004 - 16th European Conference on Artificial Intelligence, including Prestigious Applications of Intelligent Systems, PAIS 2004 - Proceedings. IOS Press, 2004. p. 1053-1054 (Frontiers in Artificial Intelligence and Applications; Vol. 110).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Harvard
Lynott, D & Keane, MT 2004,
Modelling the interpretation of novel compounds. in
ECAI 2004 - 16th European Conference on Artificial Intelligence, including Prestigious Applications of Intelligent Systems, PAIS 2004 - Proceedings. Frontiers in Artificial Intelligence and Applications, vol. 110, IOS Press, pp. 1053-1054, 16th European Conference on Artificial Intelligence, ECAI 2004, Valencia, Spain,
22/08/04.
APA
Lynott, D., & Keane, M. T. (2004).
Modelling the interpretation of novel compounds. In
ECAI 2004 - 16th European Conference on Artificial Intelligence, including Prestigious Applications of Intelligent Systems, PAIS 2004 - Proceedings (pp. 1053-1054). (Frontiers in Artificial Intelligence and Applications; Vol. 110). IOS Press.
Vancouver
Lynott D, Keane MT.
Modelling the interpretation of novel compounds. In ECAI 2004 - 16th European Conference on Artificial Intelligence, including Prestigious Applications of Intelligent Systems, PAIS 2004 - Proceedings. IOS Press. 2004. p. 1053-1054. (Frontiers in Artificial Intelligence and Applications).
Author
Lynott, Dermot ; Keane, Mark T. /
Modelling the interpretation of novel compounds. ECAI 2004 - 16th European Conference on Artificial Intelligence, including Prestigious Applications of Intelligent Systems, PAIS 2004 - Proceedings. IOS Press, 2004. pp. 1053-1054 (Frontiers in Artificial Intelligence and Applications).
Bibtex
@inproceedings{295256afb02e49bcb315f9512ada4f7c,
title = "Modelling the interpretation of novel compounds",
abstract = "The understanding of novel compounds is a special case in which we can explore the deep generativity of natural language understanding. We report a model, PUNC, which captures the comprehension of novel noun-noun compounds. The model constructs multiple interpretations for a given compound, ranking these by their overall acceptability, using the key constraints of diagnosticity, plausibility and informativeness. We present a sensitivity analysis of the model's key variables, demonstrating a graceful degradation in performance as the weightings to these variables are altered, thus vindicating the model's underlying theoretical principles.",
author = "Dermot Lynott and Keane, {Mark T.}",
year = "2004",
month = jan,
day = "1",
language = "English",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press",
pages = "1053--1054",
booktitle = "ECAI 2004 - 16th European Conference on Artificial Intelligence, including Prestigious Applications of Intelligent Systems, PAIS 2004 - Proceedings",
note = "16th European Conference on Artificial Intelligence, ECAI 2004 ; Conference date: 22-08-2004 Through 27-08-2004",
}
RIS
TY - GEN
T1 - Modelling the interpretation of novel compounds
AU - Lynott, Dermot
AU - Keane, Mark T.
PY - 2004/1/1
Y1 - 2004/1/1
N2 - The understanding of novel compounds is a special case in which we can explore the deep generativity of natural language understanding. We report a model, PUNC, which captures the comprehension of novel noun-noun compounds. The model constructs multiple interpretations for a given compound, ranking these by their overall acceptability, using the key constraints of diagnosticity, plausibility and informativeness. We present a sensitivity analysis of the model's key variables, demonstrating a graceful degradation in performance as the weightings to these variables are altered, thus vindicating the model's underlying theoretical principles.
AB - The understanding of novel compounds is a special case in which we can explore the deep generativity of natural language understanding. We report a model, PUNC, which captures the comprehension of novel noun-noun compounds. The model constructs multiple interpretations for a given compound, ranking these by their overall acceptability, using the key constraints of diagnosticity, plausibility and informativeness. We present a sensitivity analysis of the model's key variables, demonstrating a graceful degradation in performance as the weightings to these variables are altered, thus vindicating the model's underlying theoretical principles.
M3 - Conference contribution/Paper
AN - SCOPUS:85017351658
T3 - Frontiers in Artificial Intelligence and Applications
SP - 1053
EP - 1054
BT - ECAI 2004 - 16th European Conference on Artificial Intelligence, including Prestigious Applications of Intelligent Systems, PAIS 2004 - Proceedings
PB - IOS Press
T2 - 16th European Conference on Artificial Intelligence, ECAI 2004
Y2 - 22 August 2004 through 27 August 2004
ER -
