用VENSES应对语义不确定性Coping with Semantic Uncertainty with VENSES |
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课程网址: | http://videolectures.net/pcw06_delmonte_csuv/ |
主讲教师: | Rodolfo Delmonte |
开课单位: | 加州大学 |
开课时间: | 2007-02-25 |
课程语种: | 英语 |
中文简介: | 与之前的RTE挑战一样,我们提出了一种基于语言的语义推理方法,该方法围绕两个主要组件之间的整洁分工构建:一个语法驱动的子系统,它负责谓词参数的良好形成并在输出上工作一个产生增强头部依赖结构的深度解析器。第二个子系统根据不同类型的结构转换尝试允许逻辑和词汇推理,旨在产生语义上有效的意义相关性。语法关系和语义角色用于生成加权分数。在当前的挑战中,添加了许多额外的模块来应对先前数据集中不存在的细粒度推理触发器。 |
课程简介: | As in the previous RTE Challenge, we present a linguistically-based approach for semantic inference which is built around a neat division of labour between two main components: a grammatically-driven subsystem which is responsible for the level of predicate-arguments well-formedness and works on the output of a deep parser that produces augmented head-dependency structures. A second subsystem tries allowed logical and lexical inferences on the basis of different types of structural transformation intended to produce a semantically valid meaning corrispondence. Grammatical relations and semantic roles are used to generate a weighted score. In the current challenge, a number of additional modules have been added to cope with fine-grained inferential triggers which were not present in the previous datset. |
关 键 词: | 语义推理; 语法驱动; 谓词参数 |
课程来源: | 视频讲座网 |
最后编审: | 2019-09-13:lxf |
阅读次数: | 52 |