Publication Details

Title: Empirical Comparisons of MASC Word Sense Annotations
Author: G. de Melo, C. F. Baker, N. Ide, R. J. Passonneau, and C. Fellbaum
Bibliographic Information: Proceedings of the 8th Conference on International Language Resources and Evaluation (LREC 2012), Istanbul, Turkey
Date: May 2012
Research Area: AI
Type: Article in conference proceedings
PDF: http://www.icsi.berkeley.edu/pubs/ai/empiricalcomparisons12.pdf

Overview:
We analyze how different conceptions of lexical semantics affect sense annotations and how multiple sense inventories can be compared empirically, based on annotated text. Our study focuses on the MASC project, where data has been annotated using WordNet sense identifiers on the one hand, and FrameNet lexical units on the other. This allows us to compare the sense inventories of these lexical resources empirically rather than just theoretically, based on their glosses, leading to new insights. In particular, we compute contingency matrices and develop a novel measure, the Expected Jaccard Index, that quantifies the agreement between annotations of the same data based on two different resources even when they have different sets of categories.

Acknowledgements:
This work was partially funded by the Deutscher Akademischer Austausch Diesnst (DAAD) through a postdoctoral fellowship.

Bibliographic Reference:
G. de Melo, C. F. Baker, N. Ide, R. J. Passonneau, and C. Fellbaum. Empirical Comparisons of MASC Word Sense Annotations. Proceedings of the 8th Conference on International Language Resources and Evaluation (LREC 2012), Istanbul, Turkey, May 2012