@inproceedings{he-etal-2017-hccl,
title = "{HCCL} at {S}em{E}val-2017 Task 2: Combining Multilingual Word Embeddings and Transliteration Model for Semantic Similarity",
author = "He, Junqing and
Wu, Long and
Zhao, Xuemin and
Yan, Yonghong",
editor = "Bethard, Steven and
Carpuat, Marine and
Apidianaki, Marianna and
Mohammad, Saif M. and
Cer, Daniel and
Jurgens, David",
booktitle = "Proceedings of the 11th International Workshop on Semantic Evaluation ({S}em{E}val-2017)",
month = aug,
year = "2017",
address = "Vancouver, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/S17-2033",
doi = "10.18653/v1/S17-2033",
pages = "220--225",
abstract = "In this paper, we introduce an approach to combining word embeddings and machine translation for multilingual semantic word similarity, the task2 of SemEval-2017. Thanks to the unsupervised transliteration model, our cross-lingual word embeddings encounter decreased sums of OOVs. Our results are produced using only monolingual Wikipedia corpora and a limited amount of sentence-aligned data. Although relatively little resources are utilized, our system ranked 3rd in the monolingual subtask and can be the 6th in the cross-lingual subtask.",
}
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%0 Conference Proceedings
%T HCCL at SemEval-2017 Task 2: Combining Multilingual Word Embeddings and Transliteration Model for Semantic Similarity
%A He, Junqing
%A Wu, Long
%A Zhao, Xuemin
%A Yan, Yonghong
%Y Bethard, Steven
%Y Carpuat, Marine
%Y Apidianaki, Marianna
%Y Mohammad, Saif M.
%Y Cer, Daniel
%Y Jurgens, David
%S Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
%D 2017
%8 August
%I Association for Computational Linguistics
%C Vancouver, Canada
%F he-etal-2017-hccl
%X In this paper, we introduce an approach to combining word embeddings and machine translation for multilingual semantic word similarity, the task2 of SemEval-2017. Thanks to the unsupervised transliteration model, our cross-lingual word embeddings encounter decreased sums of OOVs. Our results are produced using only monolingual Wikipedia corpora and a limited amount of sentence-aligned data. Although relatively little resources are utilized, our system ranked 3rd in the monolingual subtask and can be the 6th in the cross-lingual subtask.
%R 10.18653/v1/S17-2033
%U https://aclanthology.org/S17-2033
%U https://doi.org/10.18653/v1/S17-2033
%P 220-225
Markdown (Informal)
[HCCL at SemEval-2017 Task 2: Combining Multilingual Word Embeddings and Transliteration Model for Semantic Similarity](https://aclanthology.org/S17-2033) (He et al., SemEval 2017)
ACL