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2019: 大規模な自動解析データが形態素解析器をどこまで小さくできるか #216

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jojonki opened this issue Mar 16, 2019 · 3 comments

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@jojonki
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jojonki commented Mar 16, 2019

F2-5 | 大規模な自動解析データが形態素解析器をどこまで小さくできるか
○Tolmachev Arseny, 河原大輔, 黒橋禎夫 (京大), NLP2019.
http://www.anlp.jp/nlp2019/program.html#F2

Shrinking Japanese Morphological Analyzers With Neural Networks and Semi-supervised Learning
Arseny Tolmachev, Daisuke Kawahara and Sadao Kurohashi, NAACL 2019

code: https://github.com/eiennohito/rakkyo

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数日以内に公開予定

@jojonki jojonki changed the title 🚧 大規模な自動解析データが形態素解析器をどこまで小さくできるか 🚧 2019: 大規模な自動解析データが形態素解析器をどこまで小さくできるか Mar 16, 2019
@jojonki
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jojonki commented May 11, 2019

Podcastでも紹介しました.https://anchor.fm/lnlp-ninja/episodes/ep26-e3fq3r

@jojonki jojonki changed the title 🚧 2019: 大規模な自動解析データが形態素解析器をどこまで小さくできるか 2019: 大規模な自動解析データが形態素解析器をどこまで小さくできるか May 11, 2019
@eiennohito
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eiennohito commented May 26, 2019

著者で失礼します。
コードはきれいではないですが: https://github.com/eiennohito/rakkyo

@jojonki
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jojonki commented May 27, 2019

@eiennohito ありがとうございます!御本人からコメント頂けるとは思いませんでした.言語処理学会でお話聞きましたが大変興味深かったです.

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