@inproceedings{pramanick-mitra-2018-unsupervised,
title = "Unsupervised Detection of Metaphorical Adjective-Noun Pairs",
author = "Pramanick, Malay and
Mitra, Pabitra",
editor = "Beigman Klebanov, Beata and
Shutova, Ekaterina and
Lichtenstein, Patricia and
Muresan, Smaranda and
Wee, Chee",
booktitle = "Proceedings of the Workshop on Figurative Language Processing",
month = jun,
year = "2018",
address = "New Orleans, Louisiana",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W18-0909",
doi = "10.18653/v1/W18-0909",
pages = "76--80",
abstract = "Metaphor is a popular figure of speech. Popularity of metaphors calls for their automatic identification and interpretation. Most of the unsupervised methods directed at detection of metaphors use some hand-coded knowledge. We propose an unsupervised framework for metaphor detection that does not require any hand-coded knowledge. We applied clustering on features derived from Adjective-Noun pairs for classifying them into two disjoint classes. We experimented with adjective-noun pairs of a popular dataset annotated for metaphors and obtained an accuracy of 72.87{\%} with k-means clustering algorithm.",
}
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%0 Conference Proceedings
%T Unsupervised Detection of Metaphorical Adjective-Noun Pairs
%A Pramanick, Malay
%A Mitra, Pabitra
%Y Beigman Klebanov, Beata
%Y Shutova, Ekaterina
%Y Lichtenstein, Patricia
%Y Muresan, Smaranda
%Y Wee, Chee
%S Proceedings of the Workshop on Figurative Language Processing
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans, Louisiana
%F pramanick-mitra-2018-unsupervised
%X Metaphor is a popular figure of speech. Popularity of metaphors calls for their automatic identification and interpretation. Most of the unsupervised methods directed at detection of metaphors use some hand-coded knowledge. We propose an unsupervised framework for metaphor detection that does not require any hand-coded knowledge. We applied clustering on features derived from Adjective-Noun pairs for classifying them into two disjoint classes. We experimented with adjective-noun pairs of a popular dataset annotated for metaphors and obtained an accuracy of 72.87% with k-means clustering algorithm.
%R 10.18653/v1/W18-0909
%U https://aclanthology.org/W18-0909
%U https://doi.org/10.18653/v1/W18-0909
%P 76-80
Markdown (Informal)
[Unsupervised Detection of Metaphorical Adjective-Noun Pairs](https://aclanthology.org/W18-0909) (Pramanick & Mitra, Fig-Lang 2018)
ACL