2019 Nov.08

News Release

Presented at the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019)

The following works were presented at the main conference and workshops of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP 2019) held from November 3rd to 7th.

11月3日から7日にかけて開催された EMNLP-IJCNLP 2019 および併催ワークショップにて、下記の発表をおこないました。

Main Conference:

• Hiroki Ouchi, Jun Suzuki and Kentaro Inui.
  “Transductive Learning of Neural Language Models for Syntactic and Semantic Analysis”
• Shun Kiyono, Jun Suzuki, Masato Mita, Tomoya Mizumoto and Kentaro Inui.
  “An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction”
• Xiaoyu Shen, Jun Suzuki, Kentaro Inui, Hui Su, Dietrich Klakow and Satoshi Sekine.
  “Select and Attend: Towards Controllable Content Selection in Text Generation”
• Masato Hagiwara, Takumi Ito, Tatsuki Kuribayashi, Jun Suzuki and Kentaro Inui.
  “TEASPN: Framework and Protocol for Integrated Writing Assistance Environments” (Demo Track)

Workshops:

• Deep Learning For Low-Resource NLP (DeepLo-2019)
  • Tianqi Wang, Naoya Inoue, Hiroki Ouchi, Tomoya Mizumoto and Kentaro Inui.
    “Inject Rubrics into Short Answer Grading System”
• COIN: COmmonsense INference in Natural Language Processing
  • Pride Kavumba, Naoya Inoue, Benjamin Heinzerling, Keshav Singh, Paul Reisert and Kentaro Inui.
    “When Choosing Plausible Alternatives, Clever Hans can be Clever”
• FEVER: The Second Workshop on Fact Extraction and Verification
  • Keshav Singh, Paul Reisert, Naoya Inoue, Pride Kavumba and Kentaro Inui.
    “Improving Evidence Detection by Leveraging Warrants”