no code implementations • COLING 2020 • Chihiro Shibata, Kei Uchiumi, Daichi Mochihashi
For some dimensions in the context vector, we show that their activations are highly correlated with the depth of phrase structures, such as VP and NP.
no code implementations • WS 2017 • Kent Shioda, Mamoru Komachi, Rue Ikeya, Daichi Mochihashi
This method implicitly models latent intent of query and sentences, and alleviates the problem of noisy alignment.
1 code implementation • IJCNLP 2017 • Tomoyuki Kajiwara, Mamoru Komachi, Daichi Mochihashi
We present a pointwise mutual information (PMI)-based approach to formalize paraphrasability and propose a variant of PMI, called MIPA, for the paraphrase acquisition.
no code implementations • TACL 2017 • Ryo Fujii, Ryo Domoto, Daichi Mochihashi
This paper presents a novel hybrid generative/discriminative model of word segmentation based on nonparametric Bayesian methods.