Paper: Memory-Based Resolution of In-Sentence Scopes of Hedge Cues

ACL ID W10-3006
Title Memory-Based Resolution of In-Sentence Scopes of Hedge Cues
Venue International Conference on Computational Natural Language Learning
Session Main Conference
Year 2010
Authors

In this paper we describe the machine learning systems that we submitted to the CoNLL-2010 Shared Task on Learning to Detect Hedges and Their Scope in Nat- ural Language Text. Task 1 on detect- ing uncertain information was performed by an SVM-based system to process the Wikipedia data and by a memory-based system to process the biological data. Task 2 on resolving in-sentence scopes of hedge cues, was performed by a memory- based system that relies on information from syntactic dependencies. This system scored the highest F1 (57.32) of Task 2.