Paper: Mining the Web for Reciprocal Relationships

ACL ID W09-1111
Title Mining the Web for Reciprocal Relationships
Venue International Conference on Computational Natural Language Learning
Session Main Conference
Year 2009
Authors

In this paper we address the problem of identifyingreciprocalrelationshipsinEnglish. In particular we introduce an algorithm that semi-automatically discovers patterns encod- ing 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 search- ing the web. Then we apply two unsuper- vised clustering procedures to form meaning- ful clusters of such reciprocal instances. The pattern discovery procedure yields an accu- racy of 97%, while the clustering procedures indicate accuracies of 91% and 82%. More- over, the resulting set of 10,882 reciprocal in- stances represent a broad-coverage resource.