no code implementations • LREC 2020 • Surabhi Datta, Morgan Ulinski, Jordan Godfrey-Stovall, Shekhar Khanpara, Roy F. Riascos-Castaneda, Kirk Roberts
The framework is adopted from the existing SpatialNet representation in the general domain with the aim to generate more accurate representations of spatial language used by radiologists.
no code implementations • WS 2019 • Morgan Ulinski, Julia Hirschberg
We address the issue of acquiring quality annotations of hedging words and phrases, linguistic phenomenona in which words, sounds, or other constructions are used to express ambiguity or uncertainty.
no code implementations • WS 2019 • Morgan Ulinski, Bob Coyne, Julia Hirschberg
This paper introduces SpatialNet, a novel resource which links linguistic expressions to actual spatial configurations.
no code implementations • WS 2018 • Morgan Ulinski, Seth Benjamin, Julia Hirschberg
We describe a novel method for identifying hedge terms using a set of manually constructed rules.
no code implementations • COLING 2016 • Morgan Ulinski, Julia Hirschberg, Owen Rambow
We have created a new parallel corpus of descriptions of spatial relations and motion events, based on pictures and video clips used by field linguists for elicitation of language from native speaker informants.