Title |
Semi-Supervised Methods for Expanding Psycholinguistics Norms by Integrating Distributional Similarity with the Structure of WordNet |
Authors |
Michael Mohler, Marc Tomlinson, David Bracewell and Bryan Rink |
Abstract |
In this work, we present two complementary methods for the expansion of psycholinguistics norms. The first method is a random-traversal spreading activation approach which transfers existing norms onto semantically related terms using notions of synonymy, hypernymy, and pertainymy to approach full coverage of the English language. The second method makes use of recent advances in distributional similarity representation to transfer existing norms to their closest neighbors in a high-dimensional vector space. These two methods (along with a naive hybrid approach combining the two) have been shown to significantly outperform a state-of-the-art resource expansion system at our pilot task of imageability expansion. We have evaluated these systems in a cross-validation experiment using 8,188 norms found in existing pscholinguistics literature. We have also validated the quality of these combined norms by performing a small study using Amazon Mechanical Turk (AMT). |
Topics |
Cognitive Methods, Language Modelling |
Full paper |
Semi-Supervised Methods for Expanding Psycholinguistics Norms by Integrating Distributional Similarity with the Structure of WordNet |
Bibtex |
@InProceedings{MOHLER14.1043,
author = {Michael Mohler and Marc Tomlinson and David Bracewell and Bryan Rink}, title = {Semi-Supervised Methods for Expanding Psycholinguistics Norms by Integrating Distributional Similarity with the Structure of WordNet}, booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)}, year = {2014}, month = {may}, date = {26-31}, address = {Reykjavik, Iceland}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-8-4}, language = {english} } |