2023 Oct.08

News Release

Acceptance to EMNLP 2023 / EMNLP 2023 採択

The following papers have been accepted to The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023).

EMNLP 2023 に下記の論文が採択されました。

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”
• Momose Oyama, Sho Yokoi and Hidetoshi Shimodaira.
  “Norm of Word Embedding Encodes Information Gain”
• Mengyu Ye, Tatsuki Kuribayashi, Jun Suzuki, Goro Kobayashi and Hiroaki Funayama.
  “Assessing Step-by-Step Reasoning against Lexical Negation: A Case Study on Syllogism”

Findings

• Hiroaki Yamagiwa, Sho Yokoi and Hidetoshi Shimodaira.
  “Improving word mover’s distance by leveraging self-attention matrix”
• Ikumi Ito, Takumi Ito, Jun Suzuki and Kentaro Inui.
  “Investigating the Effectiveness of Multiple Expert Models Collaboration”
• Go Kamoda, Benjamin Heinzerling, Keisuke Sakaguchi and Kentaro Inui.
  “Test-time Augmentation for Factual Probing”
• Hiroto Kurita, Goro Kobayashi, Sho Yokoi and Kentaro Inui.
  “Contrastive Learning for Sentence Encoder Induces Word Weighting by Information-Theoretic Quantities”