Paper reading (2020)

このセミナーについて (About this seminar)

担当者が見つけた面白い研究を紹介するセミナーです.以下の内容で構成されます. In this seminar, presenters share interesting studies that they found. The seminar consists of the following elements.

  1. 論文紹介 (Paper presentation): 面白いと思う論文を選んで,その内容を著者の代わりになったつもりで発表する. A presenter reads a paper that he or she finds interesting, and explains the content as if he or she was an author of the paper.
  2. 著者プレゼンの上映と解説 (Watching talk videos): 担当者は面白いと思う研究の発表動画を選び,その論文の内容を把握する.担当者の補足説明を聞きながら,参加者みんなで発表動画を鑑賞する. Finding an interesting video presentation, a presenter reads and understands the content of the paper. Attendees watch the presentation video of the author of the paper. The presenter is expected to explain supplementary information about the research.

前者 (1) はプレゼンテーションの練習を兼ねています.後者 (2) は「よい」プレゼンテーションを鑑賞しながら,英語でのプレゼンテーションやディスカッションに慣れることを狙っています. The former (1) aims at practicing presentations. The latter (2) aims at improving listening and discussion skills in English as we enjoy good presentations.

発表者は一人目は (1) を,二人目は (1) か (2) のどちらかを担当します. The 1st presentator take (1). The 2nd one can select (1) or (2).

発表時間 (Presentation Time)

  • Presentation: 15 ~ 20 minnutes
  • QA: 5 ~ 10 minutes

日時 (Date and time)

  • Wednesday 17:15~

参加者 (Attendee)

  • 全員

今後の予定 (Planned Seminars)

2020-05-20(Wed) 17:15~

  • Wiem
    • Rewarding Coreference Resolvers for Being Consistent with World Knowledge
    • Rahul Aralikatte, Heather Lent, Ana Valeria Gonzalez, Daniel Hershcovich, Chen Qiu, Anders Sandholm, Michael Ringaard, Anders Søgaard (EMNLP-IJCNLP 2019)
    • paper, slides
  • Hiraoka
    • Sweta Agrawal, Marine Carpuat. EMNLP 2019
    • Controlling Text Complexity in Neural Machine Translation
    • video, paper

2020-05-27(Wed) 17:15~

  • Koyama
  • Niwa

2020-06-03(Wed) 17:15~

  • Yang
  • Ueki

2020-06-10(Wed) 17:15~

  • Mizuki
  • Ma

2020-06-17(Wed) 17:15~

  • Nobori
  • Sasazawa

2020-06-24(Wed) 17:15~

  • Okazaki
  • Iida

2020-07-01(Wed) 17:15~

  • Nakamura
  • Maruyama

2020-07-08(Wed) 17:15~

  • Sasazawa
  • Taniguchi

2020-07-15(Wed) 17:15~

  • Nobori
  • Miyazaki

2020-07-22(Wed) 17:15~

  • Ma
  • Takase

2020-07-29(Wed) 17:15~

  • Koyama
  • Niwa

2020-08-05(Wed) 17:15~

  • Yang
  • Mizuki

2020-08-12(Wed) 17:15~

  • Wiem
  • Hiraoka

過去の記録 (Past Seminars)

2020-04-15(Wed) 16:50~

  • Hiraoka
    • Using Similarity Measures to Select Pretraining Data for NER
      • Xiang Dai, Sarvnaz Karimi, Ben Hachey, Cecile Paris (NAACL2019)
      • paper, slides
  • Nobori
    • Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets
      • Mor Geva, Yoav Goldberg, Jonathan Berant (EMNLP2019)
      • paper, video

2020-04-22(Wed) 16:50~

  • Niwa
    • Unified Language Model Pre-training for Natural Language Understanding and Generation
      • Li Dong, Nan Yang et al.(NeurIPS2019)
      • paper, slide
  • Wiem
    • Commonsense Knowledge Mining from Pretrained Models
    • Joshua Feldman, Joe Davison, Alexander M. Rush (EMNLP2019)
    • paper, video, summary

      2020-04-29(Wed) 17:15~

  • National Holiday

2020-05-06(Wed) 17:15~

  • Ma
    • Knowledge Enhanced Contextual Word Representations
    • Matthew E. Peters, Mark Neumann, Robert Logan, Roy Schwartz, Vidur Joshi, Sameer Singh, Noah A. Smith
    • paper, slides
  • Takase: Nikita Kitaev, Lukasz Kaiser, Anselm Levskaya. Reformer: The Efficient Transformer. ICLR 2020. paper, slide, author presentation.

2020-05-13(Wed) 17:15~

  • Ueki:
    • Kevin Clark, Minh-Thang Luong, Quoc V. Le, Christopher D. Manning.
    • ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators ICLR2020 paper, video,slide
  • Nakamura
    • Zuchao Li, Rui Wang, Kehai Chen, Masso Utiyama, Eiichiro Sumita, Zhuosheng Zhang, Hai Zhao. Data-dependent Gaussian Prior Objective for Language Generation. ICLR 2020
    • video, paper