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M. Hagiwara

3 papers hereh-index 242.5k citations329 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.LG1
same name
  • M. Hagiwara — 30 papers, h 32
  • M. Hagiwara — 7 papers, h 17
  • M. Hagiwara — 3 papers, h 14
  • M. Hagiwara — 3 papers, h 31
  • M. Hagiwara — 2 papers, h 5
  • M. Hagiwara — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedRadical-level Ideograph Encoder for RNN-based Sentiment Analysis of Chinese and Japanese

10 citations · 10 across the 2 of their papers we have counts for

collaborators

3 papers

cs.LG2019

Transfer Learning with Sparse Associative Memories

Quentin Jodelet, Vincent Gripon, Masafumi Hagiwara

In this paper, we introduce a novel layer designed to be used as the output of pre-trained neural networks in the context of classification. Based on Associative Memories, this lay…

cs.CL2017★ 10 cited

Radical-level Ideograph Encoder for RNN-based Sentiment Analysis of Chinese and Japanese

Yuanzhi Ke, Masafumi Hagiwara

The character vocabulary can be very large in non-alphabetic languages such as Chinese and Japanese, which makes neural network models huge to process such languages. We explored a…

cs.CL2017

Improve Lexicon-based Word Embeddings By Word Sense Disambiguation

Yuanzhi Ke, Masafumi Hagiwara

There have been some works that learn a lexicon together with the corpus to improve the word embeddings. However, they either model the lexicon separately but update the neural net…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.