Karan Singla, Dogan Can, and Shrikanth S. Narayanan. A Multi-task Approach to Learning Multilingual Representations. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pp. 214–220, Association for Computational Linguistics, Melbourne, Australia, jul 2018.

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Abstract

We present a novel multi-task modeling approach to learning multilingual distributed representations of text. Our system learns word and sentence embeddings jointly by training a multilingual skip-gram model together with a cross-lingual sentence similarity model. Our architecture can transparently use both monolingual and sentence aligned bilingual corpora to learn multilingual embeddings, thus covering a vocabulary significantly larger than the vocabulary of the bilingual corpora alone. Our model shows competitive performance in a standard cross-lingual document classification task. We also show the effectiveness of our method in a limited resource scenario.

BibTeX Entry

@inproceedings{Singla2018MultitaskApproach,
 abstract = {We present a novel multi-task modeling approach to learning multilingual distributed representations of text. Our system learns word and sentence embeddings jointly by training a multilingual skip-gram model together with a cross-lingual sentence similarity model. Our architecture can transparently use both monolingual and sentence aligned bilingual corpora to learn multilingual embeddings, thus covering a vocabulary significantly larger than the vocabulary of the bilingual corpora alone. Our model shows competitive performance in a standard cross-lingual document classification task. We also show the effectiveness of our method in a limited resource scenario.},
 address = {Melbourne, Australia},
 author = {Singla, Karan and Can, Dogan and Narayanan, Shrikanth S.},
 booktitle = {Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},
 doi = {10.18653/v1/P18-2035},
 link = {https://www.aclweb.org/anthology/P18-2035.pdf},
 month = {jul},
 pages = {214--220},
 publisher = {Association for Computational Linguistics},
 title = {A Multi-task Approach to Learning Multilingual Representations},
 year = {2018}
}

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