Aligning Packed Dependency Trees: A Theory of Composition for Distributional Semantics
Aligning Packed Dependency Trees: A Theory of Composition for Distributional Semantics
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DOI：
10.1162/coli_a_00265
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发表时间：
2016-08
影响因子：
9.3
通讯作者：
David J. Weir;Julie Weeds;Jeremy Reffin;Thomas Kober
中科院分区：
文献类型：
--
作者：
David J. Weir;Julie Weeds;Jeremy Reffin;Thomas Kober
我们提出了一种新的组合分布语义框架，其中词位的分布上下文用锚定的压缩依存关系树来表示。我们表明，这些结构有可能捕捉到一个词位的完整句子语境，并以一种既能相互消除歧义又能概括的方式为分布知识的合成提供统一的基础。
We present a new framework for compositional distributional semantics in which the distributional contexts of lexemes are expressed in terms of anchored packed dependency trees. We show that these structures have the potential to capture the full sentential contexts of a lexeme and provide a uniform basis for the composition of distributional knowledge in a way that captures both mutual disambiguation and generalization.