Year: 2016
Type: conference-paper
Abstract: Verb Phrase Ellipsis is a well-studied topic in theoretical linguistics but has received little attention as a computational problem.Here we propose a decomposition of the overall resolution problem into three tasks-target detection, antecedent head resolution, and antecedent boundary detection-and implement a number of computational approaches for each one.We also explore the relationships among these tasks by attempting joint learning over different combinations.Our new decomposition of the problem yields significantly improved performance on publicly available datasets, including a newly contributed one.
DOI: 10.18653/v1/w16-0705
Institutions: Carnegie Mellon University, Google (United States)
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Awards: G4713059963, G5432064702
OpenAlex ID: W2512180100