Are Annotators’ Word-Sense-Disambiguation Decisions Affected by Textual Entailment between Lexicon Glosses?

We describe an annotation experiment combining topics from lexicography and Word Sense Disambiguation. It involves a lexicon (Pattern Dictionary of English Verbs, PDEV), an existing data set (VPS-GradeUp), and an unpublished data set (RTE in PDEV Implicatures). The aim of the experiment was twofold: a pilot annotation of Recognizing Textual Entailment (RTE) on PDEV implicatures (lexicon glosses) on the one hand, and, on the other hand, an analysis of the effect of Textual Entailment between lexicon glosses on annotators’ Word-SenseDisambiguation decisions, compared to other predictors, such as finiteness of the target verb, the explicit presence of its relevant arguments, and the semantic distance between corresponding syntactic arguments in two different patterns (dictionary senses).