most citedCharacter n-gram Embeddings to Improve RNN Language Models

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

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.CL2017

Enumeration of Extractive Oracle Summaries

Tsutomu Hirao, Masaaki Nishino, Jun Suzuki +1

To analyze the limitations and the future directions of the extractive summarization paradigm, this paper proposes an Integer Linear Programming (ILP) formulation to obtain extract…