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We present a very simple, unsupervised method for the pairwise matching ofdocuments from heterogeneous collections. We demonstrate our method with theConcept-Project matching task, which is a binary classification task involvingpairs of documents from heterogeneous collections. Although our method onlyemploys standard resources without any domain- or task-specific modifications,it clearly outperforms the more complex system of the original authors. Inaddition, our method is transparent, because it provides explicit informationabout how a similarity score was computed, and efficient, because it is basedon the aggregation of (pre-computable) word-level similarities.

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