@inproceedings{bennett-etal-2016-lexsemtm,
title = "{L}ex{S}em{T}m: A Semantic Dataset Based on All-words Unsupervised Sense Distribution Learning",
author = "Bennett, Andrew and
Baldwin, Timothy and
Lau, Jey Han and
McCarthy, Diana and
Bond, Francis",
editor = "Erk, Katrin and
Smith, Noah A.",
booktitle = "Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
month = aug,
year = "2016",
address = "Berlin, Germany",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/P16-1143",
doi = "10.18653/v1/P16-1143",
pages = "1513--1524",
}
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%0 Conference Proceedings
%T LexSemTm: A Semantic Dataset Based on All-words Unsupervised Sense Distribution Learning
%A Bennett, Andrew
%A Baldwin, Timothy
%A Lau, Jey Han
%A McCarthy, Diana
%A Bond, Francis
%Y Erk, Katrin
%Y Smith, Noah A.
%S Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
%D 2016
%8 August
%I Association for Computational Linguistics
%C Berlin, Germany
%F bennett-etal-2016-lexsemtm
%R 10.18653/v1/P16-1143
%U https://aclanthology.org/P16-1143
%U https://doi.org/10.18653/v1/P16-1143
%P 1513-1524
Markdown (Informal)
[LexSemTm: A Semantic Dataset Based on All-words Unsupervised Sense Distribution Learning](https://aclanthology.org/P16-1143) (Bennett et al., ACL 2016)
ACL