Deep parsing in Watson

被引：20
|
作者：
McCord, M. C. [1 ]
Murdock, J. W. [1 ]
Boguraev, B. K. [1 ]
机构：
[1] IBM Corp, Div Res, Thomas J Watson Res Ctr, Yorktown Hts, NY 10598 USA
来源：
IBM JOURNAL OF RESEARCH AND DEVELOPMENT | 2012年 / 56卷 / 3-4期
关键词：
D O I：
10.1147/JRD.2012.2185409
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Two deep parsing components, an English Slot Grammar (ESG) parser and a predicate-argument structure (PAS) builder, provide core linguistic analyses of both the questions and the text content used by IBM Watson (TM) to find and hypothesize answers. Specifically, these components are fundamental in question analysis, candidate generation, and analysis of passage evidence. As part of the Watson project, ESG was enhanced, and its performance on Jeopardy!(TM) questions and on established reference data was improved. PAS was built on top of ESG to support higher-level analytics. In this paper, we describe these components and illustrate how they are used in a pattern-based relation extraction component of Watson. We also provide quantitative results of evaluating the component-level performance of ESG parsing.
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收藏
页数：15
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