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自然言語処理のトップ国際会議EMNLPに論文2件採択される

2020-10-17

自然言語処理に関するトップ国際会議の一つであるConference on Empirical Methods in Natural Language Processing (EMNLP)に弊社チーフ・サイエンティストが筆頭筆者として執筆した論文が2件採択されました。

採択論文①

LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention.
Ikuya Yamada, Akari Asai (University of Washington), Hiroyuki Shindo (NAIST), Hideaki Takeda (NII) and Yuji Matsumoto (RIKEN AIP)
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020

採択論文②

Wikipedia2Vec: An Efficient Toolkit for Learning and Visualizing the Embeddings of Words and Entities from Wikipedia.
Ikuya Yamada, Akari Asai (University of Washington), Jin Sakuma (The University of Tokyo), Hiroyuki Shindo (NAIST), Hideaki Takeda (NII), Yoshiyasu Takefuji (Keio University), Yuji Matsumoto (RIKEN AIP)
Conference on Empirical Methods in Natural Language Processing (EMNLP), system demonstrations, 2020