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Special issue on noisy text analytics

机译:嘈杂的文本分析特刊

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摘要

Noise is an ever-present challenge in the field of document analysis. We face it at all levels and stages of the process. While human readers are adept at compensating for noisy inputs, machines still stumble, sometimes badly, when confronted by the consequences when noise is present. The goal of building robust systems that both tolerate noisy inputs on the one hand, and minimize the errors they pass on to downstream stages on the other, is an active area of research.
机译:噪声是文档分析领域中不断出现的挑战。我们在流程的各个级别和各个阶段都面对它。尽管人类读者擅长补偿噪声输入,但是当面对噪声的后果时,机器仍然跌跌撞撞,有时甚至很糟。建立既能一方面承受噪声输入,另一方面又能将传递给下游阶段的误差降至最低的强大系统的目标是研究的活跃领域。

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