37 citations · 122 across the 29 of their papers we have counts for
5 papers · 1 filter
Select and Attend: Towards Controllable Content Selection in Text Generation
Xiaoyu Shen, Jun Suzuki, Kentaro Inui +3
Many text generation tasks naturally contain two steps: content selection and surface realization. Current neural encoder-decoder models conflate both steps into a black-box archit…
TEASPN: Framework and Protocol for Integrated Writing Assistance Environments
Masato Hagiwara, Takumi Ito, Tatsuki Kuribayashi +2
Language technologies play a key role in assisting people with their writing. Although there has been steady progress in e.g., grammatical error correction (GEC), human writers are…
An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction
Shun Kiyono, Jun Suzuki, Masato Mita +2
The incorporation of pseudo data in the training of grammatical error correction models has been one of the main factors in improving the performance of such models. However, conse…
Character n-gram Embeddings to Improve RNN Language Models
Sho Takase, Jun Suzuki, Masaaki Nagata
This paper proposes a novel Recurrent Neural Network (RNN) language model that takes advantage of character information. We focus on character n-grams based on research in the fiel…
Personalized Visited-POI Assignment to Individual Raw GPS Trajectories
Jun Suzuki, Yoshihiko Suhara, Hiroyuki Toda +1
Knowledge discovery from GPS trajectory data is an important topic in several scientific areas, including data mining, human behavior analysis, and user modeling. This paper propos…