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Tailoring and Evaluating the Wikipedia for in-Domain Comparable Corpora Extraction ...
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How to (properly) evaluate cross-lingual word embeddings: On strong baselines, comparative analyses, and some misconceptions
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Generalized tuning of distributional word vectors for monolingual and cross-lingual lexical entailment
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Discourse Structure in Machine Translation Evaluation ...
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Abstract:
In this article, we explore the potential of using sentence-level discourse structure for machine translation evaluation. We first design discourse-aware similarity measures, which use all-subtree kernels to compare discourse parse trees in accordance with the Rhetorical Structure Theory (RST). Then, we show that a simple linear combination with these measures can help improve various existing machine translation evaluation metrics regarding correlation with human judgments both at the segment- and at the system-level. This suggests that discourse information is complementary to the information used by many of the existing evaluation metrics, and thus it could be taken into account when developing richer evaluation metrics, such as the WMT-14 winning combined metric DiscoTKparty. We also provide a detailed analysis of the relevance of various discourse elements and relations from the RST parse trees for machine translation evaluation. In particular we show that: (i) all aspects of the RST tree are relevant, ... : machine translation, machine translation evaluation, discourse analysis. Computational Linguistics, 2017 ...
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Keyword:
68T50; Computation and Language cs.CL; FOS Computer and information sciences; I.2.7
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URL: https://dx.doi.org/10.48550/arxiv.1710.01504 https://arxiv.org/abs/1710.01504
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Using Word Embeddings to Enforce Document-Level Lexical Consistency in Machine Translation
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In: Prague Bulletin of Mathematical Linguistics , Vol 108, Iss 1, Pp 85-96 (2017) (2017)
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High-order low-rank tensors for semantic role labeling
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In: MIT Web Domain (2015)
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SemEval-2010 Task 1 OntoNotes English: Coreference Resolution in Multiple Languages
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