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Proceedings of the Thirteenth Conference on Computational Natural Language Learning - CoNLL '09
In this paper we address the problem of identifying reciprocal relationships in English. In particular we introduce an algorithm that semi-automatically discovers patterns encoding reciprocity based on a set of simple but effective pronoun templates. Using a set of most frequently occurring patterns, we extract pairs of reciprocal pattern instances by searching the web. Then we apply two unsupervised clustering procedures to form meaningful clusters of such reciprocal instances. The patterndoi:10.3115/1596374.1596389 fatcat:ckkiodglb5f4fgflxfo2h4jzkm