The 23th Annual Meeting of the Association for Natural Language Processing (NLP 2017) (DOMESTIC)

Received Excellent Paper Award

March 16, 2017

The paper 「Skip-gram Model with Negative Sampling のオンライン逐次学習」 by senior chief researchers Nobuhiro Kaji and Hayato Kobayashi won the Excellence Award at the 23rd annual meeting of The Association for Natural Language Processing (NLP2017). It was selected as one of six excellent papers from among 301 candidates. The results of this research are already being exploited in Yahoo! Realtime Search. We intend to continue our research on from here, always aiming at a better user experience.

Past award winners link)