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Sadao Kurohashi

Sadao Kurohashi

D-Index & Metrics

Computer Science

D-Index
32
Citations
6119
World Ranking
12963
National Ranking
212

Overview

Sadao Kurohashi is affiliated with Kyoto University in Japan and specializes in computer science with a significant focus on artificial intelligence. Their research spans multiple subfields, including computer vision and pattern recognition, information systems, molecular biology, and language and linguistics. The main topics explored in their work include natural language processing techniques, topic modeling, text readability and simplification, speech and dialogue systems, multimodal machine learning applications, biomedical text mining and ontologies, and advanced text analysis techniques.

The scientist has contributed extensively to academic literature, with frequent publications in key venues such as:

  • arXiv (Cornell University)
  • Journal of Natural Language Processing
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • Journal of Information Processing
  • Proceedings of the AAAI Conference on Artificial Intelligence

Among notable recent papers authored or co-authored by Sadao Kurohashi are:

  • Automatically Neutralizing Subjective Bias in Text, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • RODA: Reverse Operation Based Data Augmentation for Solving Math Word Problems, 2021, IEEE/ACM Transactions on Audio Speech and Language Processing
  • Flexibly Focusing on Supporting Facts, Using Bridge Links, and Jointly Training Specialized Modules for Multi-Hop Question Answering, 2021, IEEE/ACM Transactions on Audio Speech and Language Processing
  • GPT-RE: In-context Learning for Relation Extraction using Large Language Models, 2023, arXiv (Cornell University)
  • Design and Structure of The Juman++ Morphological Analyzer Toolkit, 2020, Journal of Natural Language Processing

Their body of work is frequently collaborative, having partnered with multiple researchers including Chenhui Chu, Qianying Liu, Zhuoyuan Mao, Haiyue Song, and Daisuke Kawahara. These co-authors have contributed to numerous publications in overlapping areas of study.

Best Publications

  • Dependency Tree-based Sentiment Classification using CRFs with Hidden Variables

    Tetsuji Nakagawa;Kentaro Inui;Sadao Kurohashi

  • An Empirical Comparison of Domain Adaptation Methods for Neural Machine Translation

    Chenhui Chu;Raj Dabre;Sadao Kurohashi

  • A syntactic analysis method of long Japanese sentences based on the detection of conjunctive structures

    Sadao Kurohashi;Makoto Nagao

  • A Fully-Lexicalized Probabilistic Model for Japanese Syntactic and Case Structure Analysis

    Daisuke Kawahara;Sadao Kurohashi

  • A Fully-Lexicalized Probabilistic Model for Japanese Syntactic and Case Structure Analysis

    Daisuke Kawahara;Sadao Kurohashi

  • ASPEC: Asian Scientific Paper Excerpt Corpus

    Toshiaki Nakazawa;Manabu Yaguchi;Kiyotaka Uchimoto;Masao Utiyama

  • Case Frame Compilation from the Web using High-Performance Computing

    Daisuke Kawahara;Sadao Kurohashi

  • Automatically Neutralizing Subjective Bias in Text

    Reid Pryzant;Richard Diehl Martinez;Nathan Dass;Sadao Kurohashi

  • Overview of the 1st Workshop on Asian Translation

    Toshiaki Nakazawa;Shohei Higashiyama;Chenchen Ding;Hideya Mino

  • Construction of a Japanese Relevance-tagged Corpus

    Daisuke Kawahara;Sadao Kurohashi;Kôiti Hasida

  • TSUBAKI: An Open Search Engine Infrastructure for Developing Information Access Methodology

    Keiji Shinzato;Tomohide Shibata;Daisuke Kawahara;Sadao Kurohashi

  • GPT-RE: In-context Learning for Relation Extraction using Large Language Models

    Unknown

  • Overview of the 6th Workshop on Asian Translation

    Toshiaki Nakazawa;Nobushige Doi;Shohei Higashiyama;Chenchen Ding

  • FAQ Retrieval using Query-Question Similarity and BERT-Based Query-Answer Relevance

    Wataru Sakata;Tomohide Shibata;Ribeka Tanaka;Sadao Kurohashi

  • Morphological Analysis for Unsegmented Languages using Recurrent Neural Network Language Model

    Hajime Morita;Daisuke Kawahara;Sadao Kurohashi

  • All-in-One: Emotion, Sentiment and Intensity Prediction using a Multi-task Ensemble Framework

    Shad Akhtar;Deepanway Ghosal;Asif Ekbal;Pushpak Bhattacharyya

  • Finding structural correspondences from bilingual parsed corpus for corpus-based translation

    Hideo Watanabe;Sadao Kurohashi;Eiji Aramaki

  • Overview of the 5th Workshop on Asian Translation

    Toshiaki Nakazawa;Katsuhito Sudoh;Shohei Higashiyama;Chenchen Ding

  • Automatic detection of discourse structure by checking surface information in sentences

    Sadao Kurohashi;Makoto Nagao

  • Building A Japanese Parsed Corpus

    Sadao Kurohashi;Makoto Nagao

  • Dialog Navigator: a question answering system based on large text knowledge base

    Yoji Kiyota;Sadao Kurohashi;Fuyuko Kido

  • A Method of Case Structure Analysis for Japanese Sentences Based on Examples in Case Frame Dictionary

    Sadao Kurohashi;Makoto Nagao

  • A Discriminative Approach to Japanese Zero Anaphora Resolution with Large-scale Lexicalized Case Frames

    Ryohei Sasano;Sadao Kurohashi

Frequent Co-Authors

Eiichiro Sumita
Eiichiro Sumita National Institute of Information and Communications Technology
Masao Utiyama
Masao Utiyama National Institute of Information and Communications Technology
Asif Ekbal
Asif Ekbal Indian Institute of Technology Patna
Tatsuya Kawahara
Tatsuya Kawahara Kyoto University
Graham Neubig
Graham Neubig Carnegie Mellon University
Pushpak Bhattacharyya
Pushpak Bhattacharyya Indian Institute of Technology Patna
Yusuke Miyao
Yusuke Miyao University of Tokyo
Dan Jurafsky
Dan Jurafsky Stanford University
Sujian Li
Sujian Li Peking University
Heng Ji
Heng Ji University of Illinois at Urbana-Champaign

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