Extracting semantic representations from word co-occurrence statistics: A computational study
Extracting semantic representations from word co-occurrence statistics: A computational study
复制标题
DOI：
10.3758/bf03193020
复制
发表时间：
2007-08-01
影响因子：
5.4
通讯作者：
Levy, Joseph P.
中科院分区：
文献类型：
--
作者：
Bullinaria, John A.;Levy, Joseph P.
The idea that at least some aspects of word meaning can be induced from patterns of word co-occurrence is becoming increasingly popular. However, there is less agreement about the precise computations involved, and the appropriate tests to distinguish between the various possibilities. It is important that the effect of the relevant design choices and parameter values are understood if psychological models using these methods are to be reliably evaluated and compared. In this article, we present a systematic exploration of the principal computational possibilities for formulating and validating representations of word meanings from word co-occurrence statistics. We find that, once we have identified the best procedures, a very simple approach is surprisingly successful and robust over a range of psychologically relevant evaluation measures.
