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2017 年度 実施状況報告書

大規模の逆強化学習ための文脈データを収集するシステムの開発

研究課題

研究課題/領域番号 17K00295
研究機関北海道大学

研究代表者

RZEPKA Rafal  北海道大学, 情報科学研究科, 助教 (80396316)

研究期間 (年度) 2017-04-01 – 2021-03-31
キーワードdata collection / data analysis / knowledge testing
研究実績の概要

As the first step of the research on contextual data, I have concentrated on collecting textual data sets and analyzing existing corpora from the point of view of context processing. I have obtained two big Japanese web corpora (NWC and ClueWeb), and for further processing several others in English (Book Sentences, Book 5grams, COW), Chinese (Weibo, SogouT), German (COW), Spanish (Billion Words Corpus, COW) and Polish (IPIPAN). For basic emotional relationship discovery I have prepared or obtained polarity lexicons for these languages.
Simultaneously, I was testing various parameters as time (presented in "Natural Language Processing for Predicting Everyday Behavior with and without Time and Duration Information" paper), moral judgement (presented in "What People Say? - Web-based Casuistry for Artificial Morality Experiments". Next I performed tests with automatically retrieved relational chains and discussed their possibility to replace humans in a data annotation process and evaluating other artificial intelligence systems as automatic behavior evaluators (presented in "Conscious vs. Unaware Evaluation - Using Collective Intelligence for an Automatic Evaluation of Acts").
After hearing the feedback and performing several discussions with AI researchers I have slightly replanned the proposed database architecture to mirror probabilistic communication between parallelly processed chains of consecutive knowledge chains. I have described the latest ideas in "Importance of Contextual Knowledge in Artificial Moral Agents Development" paper during AAAI Spring Symposium.

現在までの達成度 (区分)
現在までの達成度 (区分)

2: おおむね順調に進展している

理由

I have collected language data for knowledge acquisition in a greater scale than expected. However, because the data collection and multilingual lexicon was time consuming, the ConceptNet ontology expansion is slower than planned. The algorithm for automatic evaluation of knowledge usualness works well in shorter chains, but is still insufficient for longer ones. As the corpus data for Japanese language grew three times bigger, also indexing it correctly takes time. On the other hand, collecting corpora in other languages allowed me to start automatic concept translation and evaluation which should directly lead to the ontology enlargement. I was planning writing two publications but managed to get twice as much accepted and for that reason I evaluate my progress rather well.

今後の研究の推進方策

After the multilingual data indexing is ready for fast search, the next step is to prepare linguistic clues for finding relations between cause and effect in order to collect contextual data as agent, object, place, time, etc. Because I have also prepared lexicons for Russian and Korean, it should be done for all seven languages (Japanese, English, Chinese, German, Polish, Russian and Korean), also these languages require corpora, which I still have not obtained. After that, the knowledge chains retrieval process will start. As mentioned in the grant application, I will first concentrate on features described by Bentham in his idea of Felicific Algorithm. Because common sense topic is very wide, I will focus on context for ethical judgement by using sentiment analysis. I will try to keep the pace with experimenting and publishing my progress to both national and international audiences, which should be easier after I decided to work with more languages as planned. First comparisons between cultures and trials with discovering common ethical drives should be possible.

  • 研究成果

    (5件)

すべて 2018 2017

すべて 雑誌論文 (1件) (うち国際共著 1件、 査読あり 1件) 学会発表 (4件) (うち国際学会 4件、 招待講演 1件)

  • [雑誌論文] What People Say? - Web-based Casuistry for Artificial Morality Experiments2017

    • 著者名/発表者名
      Rafal Rzepka and Kenji Araki
    • 雑誌名

      Lecture Notes in Computer Science

      巻: 10414 ページ: 178-187

    • DOI

      10.1007/978-3-319-63703-7_17

    • 査読あり / 国際共著
  • [学会発表] Importance of Contextual Knowledge in Artificial Moral Agents Development2018

    • 著者名/発表者名
      Rafal Rzepka and Kenji Araki
    • 学会等名
      AAAI 2018 Spring Symposium on AI and Society: Ethics, Safety and Trustworthiness in Intelligent Agents
    • 国際学会
  • [学会発表] Natural Language Processing for Predicting Everyday Behavior with and without Time and Duration Information2017

    • 著者名/発表者名
      Rafal Rzepka and Kenji Araki
    • 学会等名
      Proceedings of International Symposium on Forecasting 2017
    • 国際学会
  • [学会発表] Conscious vs. Unaware Evaluation - Using Collective Intelligence for an Automatic Evaluation of Acts2017

    • 著者名/発表者名
      Rafal Rzepka and Kenji Araki
    • 学会等名
      The 2nd international IJCAI workshop on evaluating general-purpose AI (EGPAI2017)
    • 国際学会
  • [学会発表] From Signals, through Words, to Safe Behavior - Value Alignment by Human Experience Analysis2017

    • 著者名/発表者名
      Rafal Rzepka
    • 学会等名
      The 8th International Workshop on Signal Design and its Applications in Communications (IWSDA’17)
    • 国際学会 / 招待講演

URL: 

公開日: 2018-12-17  

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