Presentation

EMNLP 2023 発表

2023-12-11

12月6日から10日にかけてシンガポールで開催された The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023) および併催された会議・ワークショップにて、研究発表を行いました。

Main Conference

  • Keito Kudo, Haruki Nagasawa, Jun Suzuki and Nobuyuki Shimizu.
    “A Challenging Multimodal Video Summary: Simultaneously Extracting and Generating Keyframe-Caption Pairs from Video”
  • Mengyu Ye, Tatsuki Kuribayashi, Jun Suzuki, Goro Kobayashi and Hiroaki Funayama.
    “Assessing Step-by-Step Reasoning against Lexical Negation: A Case Study on Syllogism”
  • Ikumi Ito, Takumi Ito, Jun Suzuki, Kentaro Inui.
    “Investigating the Effectiveness of Multiple Expert Models Collaboration” (Findings paper)

Eighth Conference on Machine Translation (WMT22)

  • Keito Kudo, Takumi Ito, Makoto Morishita and Jun Suzuki.
    “SKIM at WMT 2023 General Translation Task”
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