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Satoshi Sekine

Satoshi Sekine

D-Index & Metrics

Computer Science

D-Index
39
Citations
9937
World Ranking
9559
National Ranking
138

Overview

Satoshi Sekine is affiliated with RIKEN in Japan and has contributed to research primarily in the fields of Computer Science and Engineering. Their work spans various subfields, including Artificial Intelligence, Electrical and Electronic Engineering, Communication, Industrial and Manufacturing Engineering, and Computer Networks and Communications.

Their research topics cover a range of areas such as Natural Language Processing Techniques, Wikis in Education and Collaboration, Topic Modeling, Hate Speech and Cyberbullying Detection, Railway Systems and Energy Efficiency, Adversarial Robustness in Machine Learning, and Bullying, Victimization, and Aggression.

Frequent coauthors collaborating with Sekine include Kouta Nakayama, Kenichiro Ando, Mamoru Komachi, Tatsuji Matsuura, and Ryo Kishida.

They have published papers in several venues, notably:

  • arXiv (Cornell University)
  • Journal of Natural Language Processing
  • The Proceedings of the Transportation and Logistics Conference
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Proceedings of the ACM Web Conference 2022

Selected recent publications by Satoshi Sekine and collaborators include:

  • "Should We Respect LLMs? A Cross-Lingual Study on the Influence of Prompt Politeness on LLM Performance," 2024, arXiv (Cornell University)
  • "LLM-jp: A Cross-organizational Project for the Research and Development of Fully Open Japanese LLMs," 2024, arXiv (Cornell University)
  • "WikiSQE: A Large-Scale Dataset for Sentence Quality Estimation in Wikipedia," 2024, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Is this Question Real? Dataset Collection on Perceived Intentions and Implicit Attack Detection," 2022, Proceedings of the ACM Web Conference 2022
  • "Design Method of C-2C D/A Converter Using Integer Capacitance Ratio," 2020, IEEJ Transactions on Electronics Information and Systems

Best Publications

  • A survey of named entity recognition and classification

    David Nadeau;Satoshi Sekine

  • Discovering Relations among Named Entities from Large Corpora

    Takaaki Hasegawa;Satoshi Sekine;Ralph Grishman

  • Extended Named Entity Hierarchy

    Satoshi Sekine;Kiyoshi Sudo;Chikashi Nobata

  • Preemptive Information Extraction using Unrestricted Relation Discovery

    Yusuke Shinyama;Satoshi Sekine

  • Definition, Dictionaries and Tagger for Extended Named Entity Hierarchy

    Satoshi Sekine;Chikashi Nobata

  • The SemEval-2007 WePS Evaluation: Establishing a benchmark for the Web People Search Task

    Javier Artiles;Julio Gonzalo;Satoshi Sekine

  • Automatic paraphrase acquisition from news articles

    Yusuke Shinyama;Satoshi Sekine;Kiyoshi Sudo

  • A decision tree method for finding and classifying names in Japanese texts

    Satoshi Sekine;Ralph Grishman;Hiroyuki Shinnou

  • WePS 2 Evaluation Campaign: overview of the Web People Search ClusteringTask

    Javier Artiles;Julio Gonzalo;Satoshi Sekine

  • A Corpus-based Probabilistic Grammar with Only Two Non-terminals.

    Satoshi Sekine;Ralph Grishman

  • On-Demand Information Extraction

    Satoshi Sekine

  • An Improved Extraction Pattern Representation Model for Automatic IE Pattern Acquisition

    Kiyoshi Sudo;Satoshi Sekine;Ralph Grishman

  • Semi-supervised Relation Extraction with Large-scale Word Clustering

    Ang Sun;Ralph Grishman;Satoshi Sekine

  • The Domain Dependence of Parsing

    Satoshi Sekine

  • Named entity discovery using comparable news articles

    Yusuke Shinyama;Satoshi Sekine

  • IREX: IR & IE Evaluation Project in Japanese

    Satoshi Sekine;Hitoshi Isahara

  • What makes reading comprehension questions easier

    Saku Sugawara;Kentaro Inui;Satoshi Sekine;Akiko Aizawa;Akiko Aizawa

  • Paraphrase Acquisition for Information Extraction

    Yusuke Shinyama;Satoshi Sekine

  • Automatic Paraphrase Discovery based on Context and Keywords between NE Pairs

    Satoshi Sekine

  • WePS-3 Evaluation Campaign: Overview of the Web People Search Clustering and Attribute Extraction Tasks.

    Javier Artiles;Andrew Borthwick;Julio Gonzalo;Satoshi Sekine

  • Description of the Japanese NE System Used for MET-2

    Satoshi Sekine

Frequent Co-Authors

Ralph Grishman
Ralph Grishman New York University
Julio Gonzalo
Julio Gonzalo National University of Distance Education
Jun'ichi Tsujii
Jun'ichi Tsujii University of Manchester
Johan Bos
Johan Bos University of Groningen
Naoaki Okazaki
Naoaki Okazaki Tokyo Institute of Technology
Danushka Bollegala
Danushka Bollegala University of Liverpool
Mark Dredze
Mark Dredze Johns Hopkins University
Ido Dagan
Ido Dagan Bar-Ilan University
Eiichiro Sumita
Eiichiro Sumita National Institute of Information and Communications Technology
Bernardo Magnini
Bernardo Magnini Fondazione Bruno Kessler

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