• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to project page

2020 Fiscal Year Annual Research Report

Archive-based Question Answering

Research Project

Project/Area Number 18K19841
Research InstitutionKyoto University

Principal Investigator

Adam Jatowt  京都大学, 情報学研究科, 特定准教授 (00415861)

Project Period (FY) 2018-06-29 – 2021-03-31
Keywordsquestion answering / document archives
Outline of Annual Research Achievements

Our research on question answering resulted in development of datasets and effective methods. The research was published in ECIR2020 conference and in 2021 a journal paper has appeared in Information Retrieval journal in which we extend the dataset and the method to be larger and more generic. Our approach can successfully answer arbitrary user queries for document archives.
We have also edited a book related to computational approaches to language evolution that will appear with Language Science Press and has more than 350 pages.
We have also published three chapters by our team in this book where two of them are surveys: survey of applications of language evolution approaches and survey of language evolution methods as well as one research paper on automatically dividing timeline into non uniform time units for effectively studying the temporal evolution of words.

  • Research Products

    (3 results)

All 2021 Other

All Int'l Joint Research (1 results) Journal Article (1 results) (of which Int'l Joint Research: 1 results,  Peer Reviewed: 1 results) Book (1 results)

  • [Int'l Joint Research] Karlsruhe Institute of Technology(ドイツ)

    • Country Name
      GERMANY
    • Counterpart Institution
      Karlsruhe Institute of Technology
  • [Journal Article] Improving question answering for event-focused questions in temporal collections of news articles2021

    • Author(s)
      Jiexin Wang, Adam Jatowt, Michael Faerber, Masatoshi Yoshikawa:
    • Journal Title

      Information Retrieval Journal

      Volume: 24(1) Pages: 29-54

    • DOI

      10.1007/s10791-020-09387-9

    • Peer Reviewed / Int'l Joint Research
  • [Book] Computational approaches to semantic change2021

    • Author(s)
      Nina Tahmasebi Lars Borin Adam Jatowt Yang Xu Simon Hengchen
    • Total Pages
      364
    • Publisher
      Language Science Press

URL: 

Published: 2021-12-27  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi