Efficient Outside Computation

IF 3.7 2区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Computational Linguistics Pub Date : 2021-02-01 DOI:10.1162/coli_a_00386
D. Gildea
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引用次数: 1

Abstract

Abstract Weighted deduction systems provide a framework for describing parsing algorithms that can be used with a variety of operations for combining the values of partial derivations. For some operations, inside values can be computed efficiently, but outside values cannot. We view out-side values as functions from inside values to the total value of all derivations, and we analyze outside computation in terms of function composition. This viewpoint helps explain why efficient outside computation is possible in many settings, despite the lack of a general outside algorithm for semiring operations.
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高效的外部计算
摘要加权演绎系统为描述解析算法提供了一个框架,该框架可用于组合偏导值的各种操作。对于某些操作,内部值可以有效地计算,但外部值不能。我们将外部值视为从内部值到所有派生的总价值的函数,并根据函数组成来分析外部计算。这种观点有助于解释为什么尽管缺乏用于半循环操作的通用外部算法,但在许多情况下仍然可以实现高效的外部计算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Computational Linguistics
Computational Linguistics 工程技术-计算机:跨学科应用
CiteScore
15.80
自引率
0.00%
发文量
45
审稿时长
>12 weeks
期刊介绍: Computational Linguistics, the longest-running publication dedicated solely to the computational and mathematical aspects of language and the design of natural language processing systems, provides university and industry linguists, computational linguists, AI and machine learning researchers, cognitive scientists, speech specialists, and philosophers with the latest insights into the computational aspects of language research.
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