2019 Linguistics PhD graduate , an expert in deep learning of semantic representations and corpus development, has taken a post-doctoral research position at the UMass聽, working with Prof. Andrew McCallum. The aim of聽IESL聽is to increase our ability to mine actionable knowledge from unstructured text, including聽information extraction from the Web, understanding the connections between people and between organizations, expert finding, social network analysis, and mining the scientific literature and community.聽Dr. O'Gorman wrote聽his dissertation under the supervision of CSCI/LING professor聽Martha Palmer聽and聽抖阴旅行射 LING professor聽Laura Michaelis, with the support of聽抖阴旅行射's聽CLEAR听濒补产.听贬颈蝉听诲颈蝉蝉别谤迟补迟颈辞苍, Bringing together computational and linguistic models of implicit role interpretation,聽focused on implicit roles (unstated semantic roles like the inferred聽'edible item' in the sentence I ate at noon today)聽from both a computational and theoretical perspective.聽Dr. O'Gorman's聽work in linguistics has focused on the design and construction of datasets of semantic annotations of text, expanding resources for cross-sentence (implicit) semantic role resolution, as well as more theoretical issues regarding semantic roles, reference, and聽.