Extracting Verb Sense Hierarchies from FrameNet
Ran Iwamoto, Kyoko Ohara
ICLC 2023
This paper studies Central Limit Theorems for real-valued functionals of Conditional Markov Chains. Using a classical result by Dobrushin (1956) for non-stationary Markov chains, a conditional Central Limit Theorem for fixed sequences of observations is estab- lished. The asymptotic variance can be es- timated by resampling the latent states con- ditional on the observations. If the condi- tional means themselves are asymptotically normally distributed, an unconditional Cen- tral Limit Theorem can be obtained. The methodology is used to construct a statistical hypothesis test which is applied to syntheti- cally generated environmental data.
Ran Iwamoto, Kyoko Ohara
ICLC 2023
Gosia Lazuka, Andreea Simona Anghel, et al.
SC 2024
Ken C.L. Wong, Satyananda Kashyap, et al.
Pattern Recognition Letters
Rei Odaira, Jose G. Castanos, et al.
IISWC 2013