Stochastic dependency parsers can achieve very good results when they are trained on large corpora that have been manually annotated. Active learning is a procedure that aims at r...
We present a new and efficient semi-supervised training method for parameter estimation and feature selection in conditional random fields (CRFs). In real-world applications suc...
We argue that civic discourse can also be public storytelling and propose three reasons to consider this relationship: stories’ relational nature – their ability to represent ...
As online document collections continue to expand, both on the Web and in proprietary environments, the need for duplicate detection becomes more critical. Few users wish to retri...
Since conventional historical records have been written assuming human readers, they are not well-suited for computers to collect and process automatically. If computers could und...
Katsuko T. Nakahira, Masashi Matsui, Yoshiki Mikam...