@inproceedings{rawat-etal-2020-hypernym,
title = "Hypernym-{LIB}re: A Free Web-based Corpus for Hypernym Detection",
author = "Rawat, Shaurya and
Rico, Mariano and
Corcho, Oscar",
editor = {Barbaresi, Adrien and
Bildhauer, Felix and
Sch{\"a}fer, Roland and
Stemle, Egon},
booktitle = "Proceedings of the 12th Web as Corpus Workshop",
month = may,
year = "2020",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2020.wac-1.6",
pages = "42--49",
abstract = "In this paper, we describe a new web-based corpus for hypernym detection. It consists of 32 GB of high quality english paragraphs along with their part-of-speech tagged and dependency parsed versions. For hypernym detection, the current state-of-the-art uses a corpus which is not available freely. We evaluate the state-of-the-art methods on our corpus and achieve similar results. The advantage of this corpora is that it is available under an open license. Our main contribution is the corpus with POS-tags and dependency tags and the code to extract and simulate the results we have achieved using our corpus.",
language = "English",
ISBN = "979-10-95546-68-9",
}
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<abstract>In this paper, we describe a new web-based corpus for hypernym detection. It consists of 32 GB of high quality english paragraphs along with their part-of-speech tagged and dependency parsed versions. For hypernym detection, the current state-of-the-art uses a corpus which is not available freely. We evaluate the state-of-the-art methods on our corpus and achieve similar results. The advantage of this corpora is that it is available under an open license. Our main contribution is the corpus with POS-tags and dependency tags and the code to extract and simulate the results we have achieved using our corpus.</abstract>
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%0 Conference Proceedings
%T Hypernym-LIBre: A Free Web-based Corpus for Hypernym Detection
%A Rawat, Shaurya
%A Rico, Mariano
%A Corcho, Oscar
%Y Barbaresi, Adrien
%Y Bildhauer, Felix
%Y Schäfer, Roland
%Y Stemle, Egon
%S Proceedings of the 12th Web as Corpus Workshop
%D 2020
%8 May
%I European Language Resources Association
%C Marseille, France
%@ 979-10-95546-68-9
%G English
%F rawat-etal-2020-hypernym
%X In this paper, we describe a new web-based corpus for hypernym detection. It consists of 32 GB of high quality english paragraphs along with their part-of-speech tagged and dependency parsed versions. For hypernym detection, the current state-of-the-art uses a corpus which is not available freely. We evaluate the state-of-the-art methods on our corpus and achieve similar results. The advantage of this corpora is that it is available under an open license. Our main contribution is the corpus with POS-tags and dependency tags and the code to extract and simulate the results we have achieved using our corpus.
%U https://aclanthology.org/2020.wac-1.6
%P 42-49
Markdown (Informal)
[Hypernym-LIBre: A Free Web-based Corpus for Hypernym Detection](https://aclanthology.org/2020.wac-1.6) (Rawat et al., WAC 2020)
ACL