Information Spreading in Expanding Wordnet Hypernymy Structure
Maciej Piasecki, Radosław Ramocki, Michał Kaliński · Recent Advances in Natural Language Processing · 2013
The paper presents a wordnet expansion algorithm, which is based on lexicosemantic relations extracted from large text corpora. We do not assume that the extracted relation instances (i.e. word pairs) are described by probabilities. Thus, results produced by any method, including pattern-based and Distributional Semantics approaches can be used. The algorithm is based on a general spreading activation model. Support for word-to-word semantic associations is first mapped on the existing wordnet structure. Next, the support is spread over the wordnet network in order to find attachment areas for a new word. Evaluation and comparison with other approaches in experiments on Princeton WordNet 3.0 is presented.