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Jan, 2022
少即是少:何时片段不足以进行人类与机器相关性评估?
Less is Less: When Are Snippets Insufficient for Human vs Machine Relevance Estimation?
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Gabriella Kazai, Bhaskar Mitra, Anlei Dong, Nick Craswell, Linjun Yang
TL;DR
本研究考察基于文本摘要以及完整文本的人工评估和神经模型的相关度评估的差异,发现较长的查询和文档类型对于人类和BERT模型而言完整文本是有益的,不过人类和机器对完整文本的反应存在不同。
Abstract
Traditional
information retrieval
(IR) ranking models process the full text of documents. Newer models based on
transformers
, however, would incur a high computational cost when processing long texts, so typicall
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