Ran Iwamoto

Email
r.iwamoto@keio.jp
Twitter
github

Profile

Ran Iwamoto is a member of IBM Research - Tokyo.
My research interests focus on natural language processing, particularly in multilingual text processing and representation learning.

Education

  • Keio University 2022 - present

    doctoral course

  • Keio University 2019 - 2021

    Master of Engineering

  • Keio University 2015 - 2019

    Bachelor of Engineering

Awards

  • NLP 2021 Committee Special Award 2021   

    言語処理学会委員特別賞 / 言語処理学会

      
  • NLP 2020 Young Scientist Encouragement Award 2020   

    言語処理学会若手奨励賞 / 言語処理学会

      
  • Signal Processing Symposium Young Scientist Encouragement Award 2019

    信号処理若手奨励賞 / 信号処理シンポジウム

  • IEEJ Tokyo Branch Student Encouragement Award 2019   

    電気学術女性活動奨励賞 / 電気学会

      

Publications

  • Extracting Verb Sense Hierarchies from FrameNet

    R.Iwamoto, K.Ohara, The International FrameNet Workshop 2023 (Abstract), 2023.8

  • Polar Embedding

    R.Iwamoto, R.Kohita, A.Wachi, Proceedings of the 25th Conference on Computational Natural Language Learning, 2021.11

  • A Universal Dependencies Corpora Maintenance Methodology Using Downstream Application

    R.Iwamoto, H.Kanayama, A.Rademaker, T.Ohko, Proceedings of the Third Workshop on Computational Typology and Multilingual NLP, 2021.6

  • RIJP at SemEval-2020 Task 1: Gaussian-based Embeddings for Semantic Change Detection

    R.Iwamoto, M.Yukawa, Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020.12

  • How Universal are Universal Dependencies? Exploiting Syntax for Multilingual Clause-level Sentiment Detection

    H. Kanayama, R.Iwamoto, Language Resources & Evaluation Conference (LREC), 2020.5

  • Online Multiscale-Data Classification based on Multikernel Adaptive Filtering with Application to Sentiment Analysis

    R.Iwamoto, M.Yukawa, IEEE European Signal Processing Conference (EUSIPCO), 2019.9

  • 破滅的忘却を防ぐ最適化関数を用いた構文情報の事前学習

    岩本蘭・吉田一星・金山博・大湖卓也, 言語処理学会第29回年次大会 (NLP2023), 2023.3

  • FrameNetからの動詞階層構造の抽出

    岩本蘭・小原京子, 言語処理学会第28回年次大会 (NLP2022), 2022.3

  • 極座標を用いた階層構造埋め込み

    岩本蘭・小比田涼介・和地瞭良, 言語処理学会第27回年次大会 (NLP2021), 2021.3

  • Universal Dependenciesの変遷と評価表現抽出への影響 

    岩本蘭・金山博, 言語処理学会第27回年次大会 (NLP2021), 2021.3

  • 名詞句の処理に頑健な構文解析器

    金山博・岩本蘭・村岡雅康・大湖卓也・宮本晃太郎, 言語処理学会第27回年次大会 (NLP2021), 2021.3

  • 多言語極性辞書の構築とその包括的評価

    岩本蘭・金山博, 言語処理学会第26回年次大会 (NLP2020), 2020.3

  • 多言語評価表現抽出を通じたUniversal Dependenciesの検証

    金山博・岩本蘭, 言語処理学会第26回年次大会 (NLP2020), 2020.3

  • Auto-antonymの多カーネルオンライン意味変化分析

    岩本蘭・湯川正裕, 言語処理学会第25回年次大会 (NLP2019), 2019.3

  • Sentiment Analysis in Twitter based on Multikernel Adaptive Filtering

    岩本蘭・湯川正裕, 信号処理シンポジウム, 2018.11

Employment

  • Research Scientist2022.4 - present

    IBM Research - Tokyo

  • Researcher2021.4 - 2022.3

    FUJIFILM Business Innovation Corp.

  • Research Internship 2020.5 - 2020.11

    IBM Research - Tokyo

  • Joint Research 2020.1 - 2020.4

    NTT Communication Science Laboratories

  • Research Internship 2019.6 - 2019.9

    IBM Research - Tokyo

  • Part-time Researcher 2019.4 - 2019.6

    RIKEN Center for Advanced Intelligence Project

  • Part-time Job 2019.2 - 2019.12

    German Centre for Research and Innovation Tokyo (DWIH Tokyo)