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A Resource for Evaluating Graded Word Similarity in Context: CoSimLex
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A Comparison of Unsupervised Methods for Ad hoc Cross-Lingual Document Retrieval ...
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A Comparison of Unsupervised Methods for Ad hoc Cross-Lingual Document Retrieval ...
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Abstract:
We address the problem of linking related documents across languages in a multilingual collection. We evaluate three diverse unsupervised methods to represent and compare documents: (1) multilingual topic model; (2) cross-lingual document embeddings; and (3) Wasserstein distance. We test the performance of these methods in retrieving news articles in Swedish that are known to be related to a given Finnish article. The results show that ensembles of the methods outperform the stand-alone methods, suggesting that they capture complementary characteristics of the documents. ...
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URL: https://zenodo.org/record/3898384 https://dx.doi.org/10.5281/zenodo.3898384
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A Comparison of Unsupervised Methods for Ad hoc Cross-Lingual Document Retrieval ...
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A Comparison of Unsupervised Methods for Ad hoc Cross-Lingual Document Retrieval ...
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Unsupervised Learning of Cross-Lingual Symbol Embeddings Without Parallel Data
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In: Proceedings of the Society for Computation in Linguistics (2019)
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Harmonic analysis of music using combinatory categorial grammar
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