Improving Pointwise Mutual Information (PMI) by Incorporating Significant Co-occurrence
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Improving Pointwise Mutual Information (PMI) by Incorporating Significant Co-occurrence
We design a new co-occurrence based word association measure by incorporating the concept of significant cooccurrence in the popular word association measure Pointwise Mutual Information (PMI). By extensive experiments w…
On Suspicious Coincidences and Pointwise Mutual Information
Barlow (1985) hypothesized that the co-occurrence of two events $A$ and $B$ is "suspicious" if $P(A,B) \gg P(A) P(B)$. We first review classical measures of association for $2 \times 2$ contingency tables, including Yule…
Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions
In this paper, we propose a new kernel-based co-occurrence measure that can be applied to sparse linguistic expressions (e.g., sentences) with a very short learning time, as an alternative to pointwise mutual information…
Machine TranslationSentenceSentence EmbeddingsTranslationSecond-order Co-occurrence Sensitivity of Skip-Gram with Negative Sampling
We simulate first- and second-order context overlap and show that Skip-Gram with Negative Sampling is similar to Singular Value Decomposition in capturing second-order co-occurrence information, while Pointwise Mutual In…
SensitivityWhy So Down? The Role of Negative (and Positive) Pointwise Mutual Information in Distributional Semantics
In distributional semantics, the pointwise mutual information ($\mathit{PMI}$) weighting of the cooccurrence matrix performs far better than raw counts. There is, however, an issue with unobserved pair cooccurrences as $…