24 citations · 76 across the 25 of their papers we have counts for
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cs.CL2019★ 2 cited
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…
cs.CL2019★ 9 cited
Positional Encoding to Control Output Sequence Length
Sho Takase, Naoaki Okazaki
Neural encoder-decoder models have been successful in natural language generation tasks. However, real applications of abstractive summarization must consider additional constraint…