Semi-Automated Resolution of Inconsistency for a Harmonized Multiword Expression and Dependency Parse Annotation

Abstract

This paper presents a methodology for identifying and resolving various kinds of inconsistency in the context of merging dependency and multiword expression (MWE) annotations, to generate a dependency treebank with comprehensive MWE annotations. Candidates for correction are identified using a variety of heuristics, including an entirely novel one which identifies violations of MWE constituency in the dependency tree, and resolved by arbitration with minimal human intervention. Using this technique, we identified and corrected several hundred errors across both parse and MWE annotations, representing changes to a significant percentage (well over 10%) of the MWE instances in the joint corpus.

Deep Learning Models For Multiword Expression Identification

“…For example, the expression a few is labeled as an MWE 15 out of 32 times in the training set, even though there appears to be no variation in its usage. Recent efforts have, however, proposed semi-automated methods for resolving these inconsistencies (Chan et al, 2017).…”