| 发明名称 |
DEEP ANALYSIS OF NATURAL LANGUAGE QUESTIONS FOR QUESTION ANSWERING SYSTEM |
| 摘要 |
Creating training data for a natural language processing system may comprise obtaining natural language input, the natural language input annotated with one or more important phrases; and generating training instances comprising a syntactic parse tree of nodes representing elements of the natural language input augmented with the annotated important phrases. In another aspect, a classifier may be trained based on the generated training instances. The classifier may be used to predict one or more potential important phrases in a query. |
| 申请公布号 |
US2014163962(A1) |
申请公布日期 |
2014.06.12 |
| 申请号 |
US201313835924 |
申请日期 |
2013.03.15 |
| 申请人 |
INTERNATIONAL BUSINESS MACHINES CORPORATION |
发明人 |
Castelli Vittorio;Florian Radu;Luo Xiaoqiang;Maskey Sameer;Raghavan Hema |
| 分类号 |
G06F17/28 |
主分类号 |
G06F17/28 |
| 代理机构 |
|
代理人 |
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| 主权项 |
1. A method for creating training data for a natural language processing system comprising:
obtaining natural language input, the natural language input annotated with one or more important phrases; and generating training instances comprising a syntactic parse tree of nodes representing elements of the natural language input augmented with the annotated important phrases.
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| 地址 |
Armonk NY US |
