no code implementations • 16 Jun 2022 • Jin Hyuk Choi, Heeyoung Kwon, Kasper Larsen
In a continuous-time Kyle setting, we prove global existence of an equilibrium when the insider faces a terminal trading constraint.
no code implementations • Joint Conference on Lexical and Computational Semantics 2021 • Heeyoung Kwon, Nathanael Chambers, Niranjan Balasubramanian
We propose DiP, a Diverse Precondition generation system that can generate unique and diverse preconditions.
1 code implementation • Findings of the Association for Computational Linguistics 2020 • Heeyoung Kwon, Mahnaz Koupaee, Pratyush Singh, Gargi Sawhney, Anmol Shukla, Keerthi Kumar Kallur, Nathanael Chambers, Niranjan Balasubramanian
This paper introduces PeKo, a crowd-sourced annotation of preconditions between event pairs in newswire, an order of magnitude larger than prior text annotations.
1 code implementation • ACL 2020 • Radhika Gaonkar, Heeyoung Kwon, Mohaddeseh Bastan, Niranjan Balasubramanian, Nathanael Chambers
Predicting how events induce emotions in the characters of a story is typically seen as a standard multi-label classification task, which usually treats labels as anonymous classes to predict.
Ranked #1 on Emotion Classification on ROCStories
1 code implementation • CONLL 2020 • Noah Weber, Leena Shekhar, Heeyoung Kwon, Niranjan Balasubramanian, Nathanael Chambers
A SLDS is a dynamical system in which the latent dynamics of the system (i. e. how the state vector transforms over time) is controlled by top-level discrete switching variables.
4 code implementations • NAACL 2019 • Harsh Trivedi, Heeyoung Kwon, Tushar Khot, Ashish Sabharwal, Niranjan Balasubramanian
We introduce Multee, a general architecture that can effectively use entailment models for multi-hop QA tasks.
no code implementations • ICLR 2019 • Viresh Ranjan, Heeyoung Kwon, Niranjan Balasubramanian, Minh Hoai
We automatically generate fake sentences by corrupting original sentences from a source collection and train the encoders to produce representations that are effective at detecting fake sentences.