2023 Dec.11
News Release

The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023)

The following papers were presented at the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), co-located conference, and co-located workshops held in Singapore from December 6th to 10th.

12月6日から10日にかけてシンガポールで開催された EMNLP 2023 および併催された会議・ワークショップにて、下記の発表を行いました。

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”
  • 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”
  • Ikumi Ito, Takumi Ito, Jun Suzuki, Kentaro Inui.
    “Investigating the Effectiveness of Multiple Expert Models Collaboration” (Findings paper)
  • Hiroto Kurita, Goro Kobayashi, Sho Yokoi and Kentaro Inui.
    “Contrastive Learning-based Sentence Encoders Implicitly Weight Informative Words” (Findings paper)

Eighth Conference on Machine Translation (WMT22)

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

Workshop: The first workshop on generalisation (benchmarking) in NLP (GenBench)

  • Go Kamoda, Benjamin Heinzerling, Keisuke Sakaguchi and Kentaro Inui.
    “Test-time Augmentation for Factual Probing” (Findings paper)

Workshop: The 10th Workshop on Argument Mining (ArgMining)

  • Camelia Guerraoui, Paul Reisert, Naoya Inoue, Farjana Sultana Mim, Keshav Singh, Jungmin Choi, Irfan Robbani, Shoichi Naito, Wenzhi Wang and Kentaro Inui.
    “Teach Me How to Argue: A Survey on NLP Feedback Systems in Argumentation”

Workshop: The 6th Workshop on Analysing and Interpreting Neural Networks for NLP (BlackboxNLP 2023)

  • Hiroto Kurita, Goro Kobayashi, Sho Yokoi and Kentaro Inui.
    “Contrastive Learning-based Sentence Encoders Implicitly Weight Informative Words” (Findings paper)

Last-modified: 2024-11-21 (Thu) 20:29:31 (16d)

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