@inproceedings{polajnar-etal-2014-evaluation,
title = "Evaluation of Simple Distributional Compositional Operations on Longer Texts",
author = "Polajnar, Tamara and
Rimell, Laura and
Clark, Stephen",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Loftsson, Hrafn and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)",
month = may,
year = "2014",
address = "Reykjavik, Iceland",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2014/pdf/110_Paper.pdf",
pages = "4440--4443",
abstract = "Distributional semantic models have been effective at representing linguistic semantics at the word level, and more recently research has moved on to the construction of distributional representations for larger segments of text. However, it is not well understood how the composition operators that work well on short phrase-based models scale up to full-length sentences. In this paper we test several simple compositional methods on a sentence-length similarity task and discover that their performance peaks at fewer than ten operations. We also introduce a novel sentence segmentation method that reduces the number of compositional operations.",
}
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%0 Conference Proceedings
%T Evaluation of Simple Distributional Compositional Operations on Longer Texts
%A Polajnar, Tamara
%A Rimell, Laura
%A Clark, Stephen
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Loftsson, Hrafn
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)
%D 2014
%8 May
%I European Language Resources Association (ELRA)
%C Reykjavik, Iceland
%F polajnar-etal-2014-evaluation
%X Distributional semantic models have been effective at representing linguistic semantics at the word level, and more recently research has moved on to the construction of distributional representations for larger segments of text. However, it is not well understood how the composition operators that work well on short phrase-based models scale up to full-length sentences. In this paper we test several simple compositional methods on a sentence-length similarity task and discover that their performance peaks at fewer than ten operations. We also introduce a novel sentence segmentation method that reduces the number of compositional operations.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/110_Paper.pdf
%P 4440-4443
Markdown (Informal)
[Evaluation of Simple Distributional Compositional Operations on Longer Texts](http://www.lrec-conf.org/proceedings/lrec2014/pdf/110_Paper.pdf) (Polajnar et al., LREC 2014)
ACL