HCCL at SemEval-2017 Task 2: Combining Multilingual Word Embeddings and Transliteration Model for Semantic Similarity

2017-08-01SEMEVAL 2017Unverified0· sign in to hype

Junqing He, Long Wu, Xuemin Zhao, Yonghong Yan

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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.

Tasks

Cross-Lingual Word Embeddings Machine Translation Multilingual Word Embeddings Semantic Similarity Semantic Textual Similarity Sentence Stock Price Prediction Task 2 Text Classification Translation Transliteration Word Embeddings Word Similarity

HCCL at SemEval-2017 Task 2: Combining Multilingual Word Embeddings and Transliteration Model for Semantic Similarity

Abstract

Tasks

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