Karl Stratos

Adversarial Adaptation of Synthetic or Stale Data

2017

Two types of data shift common in practice are 1. transferring from synthetic data to live user data (a deployment shift), and 2. transferring from stale data to current data (a temporal shift). Both cause …

New Transfer Learning Techniques for Disparate Label Sets

2015

Young-Bum Kim, Karl Stratos, Ruhi Sarikaya, Minwoo Jeong. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). 2015.

Unsupervised Part-Of-Speech Tagging with Anchor Hidden Markov Models

2016 · Transactions of the Association for Computational Linguistics

We tackle unsupervised part-of-speech (POS) tagging by learning hidden Markov models (HMMs) that are particularly well-suited for the problem. These HMMs, which we call anchor HMMs, assume that each tag is associated with at least …