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arXiv · 1904.12550

Semantic Matching of Documents from Heterogeneous Collections: A Simple and Transparent Method for Practical Applications

Mark-Christoph Müller
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Abstract

We present a very simple, unsupervised method for the pairwise matching of documents from heterogeneous collections. We demonstrate our method with the Concept-Project matching task, which is a binary classification task involving pairs of documents from heterogeneous collections. Although our method only employs standard resources without any domain- or task-specific modifications, it clearly outperforms the more complex system of the original authors. In addition, our method is transparent, because it provides explicit information about how a similarity score was computed, and efficient, because it is based on the aggregation of (pre-computable) word-level similarities.

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Mark-Christoph Müller. 2019-04-29. Semantic Matching of Documents from Heterogeneous Collections: A Simple and Transparent Method for Practical Applications. https://arxiv.org/abs/1904.12550

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