ACM Transactions on Speech and Language Processing, volume 4, issue 1, pages 1-17
A statistical model for near-synonym choice
Publication type: Journal Article
Publication date: 2007-02-02
Quartile SCImago
— Quartile WOS
—
Impact factor: —
ISSN: 15504875, 15504883
Computer Science (miscellaneous)
Computational Mathematics
Abstract
We present an unsupervised statistical method for automatic choice of near-synonyms when the context is given. The method uses the Web as a corpus to compute scores based on mutual information. Our evaluation experiments show that this method performs better than two previous methods on the same task. We also describe experiments in using supervised learning for this task. We present an application to an intelligent thesaurus. This work is also useful in machine translation and natural language generation.
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- We do not take into account publications without a DOI.
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Inkpen D. A statistical model for near-synonym choice // ACM Transactions on Speech and Language Processing. 2007. Vol. 4. No. 1. pp. 1-17.
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Inkpen D. A statistical model for near-synonym choice // ACM Transactions on Speech and Language Processing. 2007. Vol. 4. No. 1. pp. 1-17.
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TY - JOUR
DO - 10.1145/1187415.1187417
UR - https://doi.org/10.1145/1187415.1187417
TI - A statistical model for near-synonym choice
T2 - ACM Transactions on Speech and Language Processing
AU - Inkpen, Diana
PY - 2007
DA - 2007/02/02
PB - Association for Computing Machinery (ACM)
SP - 1-17
IS - 1
VL - 4
SN - 1550-4875
SN - 1550-4883
ER -
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@article{2007_Inkpen,
author = {Diana Inkpen},
title = {A statistical model for near-synonym choice},
journal = {ACM Transactions on Speech and Language Processing},
year = {2007},
volume = {4},
publisher = {Association for Computing Machinery (ACM)},
month = {feb},
url = {https://doi.org/10.1145/1187415.1187417},
number = {1},
pages = {1--17},
doi = {10.1145/1187415.1187417}
}
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MLA
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Inkpen, Diana. “A statistical model for near-synonym choice.” ACM Transactions on Speech and Language Processing, vol. 4, no. 1, Feb. 2007, pp. 1-17. https://doi.org/10.1145/1187415.1187417.