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2018 Fiscal Year Research-status 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 – 2020-03-31
Keywordsquestion answering / document archives
Outline of Annual Research Achievements

We have designed a working demo system to answer queries about similarity of objects across-time. The proposed system allows also for input of a viewpoint to further specify the query. The description of this work was published as a demo paper at WSDM2019 conference.

We have also built the foundations for generic news archive answering system. It uses solr as a search engine and state of the art answer selector based on bi-directional LSTM to extract answers from pool of candidate documents. The main focus was on re-ranking search results returned by solr so that documents that have highest probability of answer are collected. On the corpus of manually created 200 temporal questions we foud out that our reranking approach improves results by 10%.

Current Status of Research Progress
Current Status of Research Progress

2: Research has progressed on the whole more than it was originally planned.

Reason

There is no substantial delay in this project. We plan to submit conference paper further in this year and we will soon release the questions dataset.

Strategy for Future Research Activity

We will create larger datasets of questions and answers in the near future. Next step assumes incorporation of a supervised approach based on neural networks to improve the computation or extraction of the answer. The decision if the answer should be computed or extracted should be also performed automatically in the future. We will also continue improving the document re-ranking functions to further boost the performance.

Causes of Carryover

We need to use the grant funds in the next year in order to continue the project. In particular to develop neural network based mechanism for answering questions. This research field is very new and challenging. Developing methods is then quite difficult and needs a lot of effort and manual testing. Furthermore we want to develop large scale test sets for evaluating of developed methods. We will then employ crowdsourcing to gather a lot of questions (around 2000 manually made questions).

  • Research Products

    (4 results)

All 2019 2018

All Journal Article (4 results) (of which Int'l Joint Research: 4 results,  Peer Reviewed: 4 results)

  • [Journal Article] ATAR: Aspect-based Temporal Analog Retrieval System for Document Archives2019

    • Author(s)
      Yating Zhang, Adam Jatowt, Sourav S Bhowmick, Yuji Matsumoto
    • Journal Title

      The 12th International Conference on Web Search and Data Mining (WSDM 2019)

      Volume: ACM Press Pages: 762-765

    • DOI

      10.1145/3289600.3290613

    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Towards Recommending Interesting Content in News Archives2018

    • Author(s)
      I-Chen Hung, Michael Faeber, Adam Jatowt
    • Journal Title

      The 20th International Conference on Asia-pacific Digital Libraries (ICADL 2018)

      Volume: Springer LNCS Pages: 142-146

    • DOI

      10.1007/978-3-030-04257-8_13

    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] System for Category-driven Retrieval of Historical Events2018

    • Author(s)
      Yasunobu Sumikawa, Adam Jatowt
    • Journal Title

      The ACM/IEEE Joint Conference on Digital Libraries (JCDL 2018)

      Volume: ACM Press Pages: 413-414

    • DOI

      10.1145/3197026.3203888

    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] Every Word has its History: Interactive Exploration and Visualization of Word Sense Evolution2018

    • Author(s)
      Adam Jatowt, Ricardo Campos, Sourav S. Bhowmick, Nina Tahmasebi, Antoine Doucet
    • Journal Title

      The 27th International Conference on Information and Knowledge Management (CIKM 2018)

      Volume: ACM Press Pages: 1899-1902

    • DOI

      10.1145/3269206.3269218

    • Peer Reviewed / Int'l Joint Research

URL: 

Published: 2019-12-27  

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