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

Autor:	Müller, Mark-Christoph
Rok vydání:	2019
Předmět:	Computer Science - Computation and Language
Druh dokumentu:	Working Paper
Popis:	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. Comment: To appear at RELATIONS 2019 workshop
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1904.12550 Zobrazit plný text záznamu View this record from Arxiv