no code implementations • LREC 2020 • Haruna Ogawa, Hitoshi Nishikawa, Takenobu Tokunaga, Hikaru Yokono
Our platform enables data collectors to create their original video game in which they can collect dialogue data of various types of tasks by using the logging function of the platform.
no code implementations • COLING 2018 • Shun-ya Fukunaga, Hitoshi Nishikawa, Takenobu Tokunaga, Hikaru Yokono, Tetsuro Takahashi
We implemented two models for this task: an SVM-based model and an RCNN-based model.
no code implementations • RANLP 2017 • Takenobu Tokunaga, Hitoshi Nishikawa, Tomoya Iwakura
Utilising effective features in machine learning-based natural language processing (NLP) is crucial in achieving good performance for a given NLP task.
no code implementations • COLING 2016 • Ryosuke Maki, Hitoshi Nishikawa, Takenobu Tokunaga
In this paper, we propose utilising eye gaze information for estimating parameters of a Japanese predicate argument structure (PAS) analysis model.
no code implementations • WS 2016 • Daiki Gotou, Hitoshi Nishikawa, Takenobu Tokunaga
In this paper, we extend an existing annotation scheme ISO-Space for annotating necessary spatial information for the task placing an specified object at a specified location with a specified direction according to a natural language instruction.