@inproceedings{che-etal-2017-traversal,
title = "Traversal-Free Word Vector Evaluation in Analogy Space",
author = "Che, Xiaoyin and
Ring, Nico and
Raschkowski, Willi and
Yang, Haojin and
Meinel, Christoph",
editor = "Bowman, Samuel and
Goldberg, Yoav and
Hill, Felix and
Lazaridou, Angeliki and
Levy, Omer and
Reichart, Roi and
S{\o}gaard, Anders",
booktitle = "Proceedings of the 2nd Workshop on Evaluating Vector Space Representations for {NLP}",
month = sep,
year = "2017",
address = "Copenhagen, Denmark",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W17-5302",
doi = "10.18653/v1/W17-5302",
pages = "11--15",
abstract = "In this paper, we propose an alternative evaluating metric for word analogy questions (A to B is as C to D) in word vector evaluation. Different from the traditional method which predicts the fourth word by the given three, we measure the similarity directly on the {``}relations{''} of two pairs of given words, just as shifting the relation vectors into a new analogy space. Cosine and Euclidean distances are then calculated as measurements. Observation and experiments shows the proposed analogy space evaluation could offer a more comprehensive evaluating result on word vectors with word analogy questions. Meanwhile, computational complexity are remarkably reduced by avoiding traversing the vocabulary.",
}
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%0 Conference Proceedings
%T Traversal-Free Word Vector Evaluation in Analogy Space
%A Che, Xiaoyin
%A Ring, Nico
%A Raschkowski, Willi
%A Yang, Haojin
%A Meinel, Christoph
%Y Bowman, Samuel
%Y Goldberg, Yoav
%Y Hill, Felix
%Y Lazaridou, Angeliki
%Y Levy, Omer
%Y Reichart, Roi
%Y Søgaard, Anders
%S Proceedings of the 2nd Workshop on Evaluating Vector Space Representations for NLP
%D 2017
%8 September
%I Association for Computational Linguistics
%C Copenhagen, Denmark
%F che-etal-2017-traversal
%X In this paper, we propose an alternative evaluating metric for word analogy questions (A to B is as C to D) in word vector evaluation. Different from the traditional method which predicts the fourth word by the given three, we measure the similarity directly on the “relations” of two pairs of given words, just as shifting the relation vectors into a new analogy space. Cosine and Euclidean distances are then calculated as measurements. Observation and experiments shows the proposed analogy space evaluation could offer a more comprehensive evaluating result on word vectors with word analogy questions. Meanwhile, computational complexity are remarkably reduced by avoiding traversing the vocabulary.
%R 10.18653/v1/W17-5302
%U https://aclanthology.org/W17-5302
%U https://doi.org/10.18653/v1/W17-5302
%P 11-15
Markdown (Informal)
[Traversal-Free Word Vector Evaluation in Analogy Space](https://aclanthology.org/W17-5302) (Che et al., RepEval 2017)
ACL
- Xiaoyin Che, Nico Ring, Willi Raschkowski, Haojin Yang, and Christoph Meinel. 2017. Traversal-Free Word Vector Evaluation in Analogy Space. In Proceedings of the 2nd Workshop on Evaluating Vector Space Representations for NLP, pages 11–15, Copenhagen, Denmark. Association for Computational Linguistics.