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A Commercial Perspective on Reference

机译:参考的商业视角

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摘要

I briefly describe some of the commercial work which Arria NLG is doing in referring expression algorithms, and highlight differences between what is commercially important (at least to Arria) and the NLG research literature. Ar-ria's focus is on high-quality algorithms for types of reference which are important in its systems. These algorithms need to be para-metrisable for different genres and domains, usable in hybrid systems which include some canned text, and support variation.
机译:我简要描述了Arria NLG在参考表达算法中进行的一些商业工作,并且在商业上重要(至少到Arria)和NLG研究文献之间的突出显示。 AR-RIA的重点是高质量的参考类型算法,这在其系统中很重要。这些算法需要对不同的类型和域进行算法,可用于包括一些罐头文本的混合系统和支持变化。

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