USHEF and USAAR-USHEF Participation in the WMT15 Quality Estimation Shared Task

机译：USHEF和USAAR-USHEF参与WMT15质量评估共享任务

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We present the results of the USHEF and USAAR-USHEF submissions for the WMT15 shared task on document-level quality estimation. The USHEF submissions explored several document and discourse-aware features. The USAAR-USHEF submissions used an exhaustive search approach to select the best features from the official baseline. Results show slight improvements over the baseline with the use of discourse features. More interestingly, we found that a model of comparable performance can be built with only three features selected by the exhaustive search procedure.

机译：我们介绍了针对文件级别质量评估的WMT15共享任务的USHEF和USAAR-USHEF提交的结果。 USHEF提交的材料探索了一些文档和话语感知功能。 USAAR-USHEF提交的文件使用了详尽的搜索方法，以从官方基准中选择最佳功能。结果表明，通过使用话语功能，可以对基线进行一些改进。更有趣的是，我们发现穷举搜索过程只能选择三个功能来构建性能相当的模型。

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《10th Workshop on statistical machine translation 2015》|2015年|336-341|共6页
会议地点 Lisbon(PT)
作者
Carolina Scarton; Liling Tan; Lucia Specia;
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University of Sheffield, 211 Portobello Street, Sheffield, UK;

Saarland University, Campus A2.2, Saarbruecken, Germany;

University of Sheffield, 211 Portobello Street, Sheffield, UK;

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正文语种 eng
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4. USHEF and USAAR-USHEF Participation in the WMT15 Quality Estimation Shared Task [C] . Carolina Scarton, Liling Tan, Lucia Specia Workshop on statistical machine translation . 2015

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5. Task Planning and Execution for Human Robot Team Performing a Shared Task in a Shared Workspace [D] . Hazbar, Tuly. 2019

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机译：USHEF和USAAR-USHEF参与WMT15 QE共享任务

USHEF and USAAR-USHEF Participation in the WMT15 Quality Estimation Shared Task

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