@inproceedings{lai-etal-2018-sunnynlp,
title = "{SUNNYNLP} at {S}em{E}val-2018 Task 10: A Support-Vector-Machine-Based Method for Detecting Semantic Difference using Taxonomy and Word Embedding Features",
author = "Lai, Sunny and
Leung, Kwong Sak and
Leung, Yee",
editor = "Apidianaki, Marianna and
Mohammad, Saif M. and
May, Jonathan and
Shutova, Ekaterina and
Bethard, Steven and
Carpuat, Marine",
booktitle = "Proceedings of the 12th International Workshop on Semantic Evaluation",
month = jun,
year = "2018",
address = "New Orleans, Louisiana",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/S18-1118/",
doi = "10.18653/v1/S18-1118",
pages = "741--746",
abstract = "We present SUNNYNLP, our system for solving SemEval 2018 Task 10: ``Capturing Discriminative Attributes''. Our Support-Vector-Machine(SVM)-based system combines features extracted from pre-trained embeddings and statistical information from Is-A taxonomy to detect semantic difference of concepts pairs. Our system is demonstrated to be effective in detecting semantic difference and is ranked 1st in the competition in terms of F1 measure. The open source of our code is coined SUNNYNLP."
}
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%0 Conference Proceedings
%T SUNNYNLP at SemEval-2018 Task 10: A Support-Vector-Machine-Based Method for Detecting Semantic Difference using Taxonomy and Word Embedding Features
%A Lai, Sunny
%A Leung, Kwong Sak
%A Leung, Yee
%Y Apidianaki, Marianna
%Y Mohammad, Saif M.
%Y May, Jonathan
%Y Shutova, Ekaterina
%Y Bethard, Steven
%Y Carpuat, Marine
%S Proceedings of the 12th International Workshop on Semantic Evaluation
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans, Louisiana
%F lai-etal-2018-sunnynlp
%X We present SUNNYNLP, our system for solving SemEval 2018 Task 10: “Capturing Discriminative Attributes”. Our Support-Vector-Machine(SVM)-based system combines features extracted from pre-trained embeddings and statistical information from Is-A taxonomy to detect semantic difference of concepts pairs. Our system is demonstrated to be effective in detecting semantic difference and is ranked 1st in the competition in terms of F1 measure. The open source of our code is coined SUNNYNLP.
%R 10.18653/v1/S18-1118
%U https://aclanthology.org/S18-1118/
%U https://doi.org/10.18653/v1/S18-1118
%P 741-746
Markdown (Informal)
[SUNNYNLP at SemEval-2018 Task 10: A Support-Vector-Machine-Based Method for Detecting Semantic Difference using Taxonomy and Word Embedding Features](https://aclanthology.org/S18-1118/) (Lai et al., SemEval 2018)
ACL