TOHOKU NLP LAB - 東北大学 乾研究室TOHOKU NLP LAB - 東北大学 乾研究室

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2022 Dec.14
News Release

The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022)

The following papers were presented at the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), co-located conference, and co-located workshops held in Abu Dhabi, United Arab Emirates from December 7th to 11th.

12月7日から11日にかけてアラブ首長国連邦で開催された EMNLP 2022 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

  • Tatsuki Kuribayashi, Yohei Oseki, Ana Brassard and Kentaro Inui.
    “Context Limitations Make Neural Language Models More Human-Like”.
  • Qin Dai, Benjamin Heinzerling and Kentaro Inui.
    “Cross-stitching Text and Knowledge Graph Encoders for Distantly Supervised Relation Extraction”.
  • Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Hao Peng, Ximing Lu, Dragomir Radev, Yejin Choi and Noah A. Smith.
    “Twist Decoding: Diverse Generators Guide Each Other”.

Seventh Conference on Machine Translation (WMT22)

  • Makoto Morishita*, Keito Kudo*, Yui Oka*, Katsuki Chousa*, Shun Kiyono, Sho Takase, Jun Suzuki. (*equal contributions)
    “NT5 at WMT 2022 General Translation Task”.

Workshop: Analysing and interpreting neural networks for NLP (BlackboxNLP 2022)

  • Yuta Matsumoto, Benjamin Heinzerling, Masashi Yoshikawa, Kentaro Inui.
    “Tracing and Manipulating Intermediate Results in Neural Math Problem Solvers”.

Workshop: 1st Workshop on Mathematical Natural Language Processing (MathNLP)

  • Yuta Matsumoto, Benjamin Heinzerling, Masashi Yoshikawa, Kentaro Inui.
    “Tracing and Manipulating Intermediate Values in Neural Math Problem Solvers”.

Last-modified: 2023-01-28 (Sat) 23:07:45 (8d)

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