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Disambiguation of "Morio, Gaku"

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Hitachi at SemEval-2020 Task 11: An Empirical Study of Pre-Trained Transformer Family for Propaganda Detection.

, , , and . SemEval@COLING, page 1739-1748. International Committee for Computational Linguistics, (2020)

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Gaku Yamamoto

Nobuyuki Morioka

Milda Morio

Simone Morio

 

Other publications of authors with the same name

Team Hitachi @ AutoMin 2021: Reference-free Automatic Minuting Pipeline with Argument Structure Construction over Topic-based Summarization., , , , and . CoRR, (2021)Hitachi at SemEval-2022 Task 10: Comparing Graph- and Seq2Seq-based Models Highlights Difficulty in Structured Sentiment Analysis., , , and . SemEval@NAACL, page 1349-1359. Association for Computational Linguistics, (2022)Hitachi at SemEval-2020 Task 8: Simple but Effective Modality Ensemble for Meme Emotion Recognition., , , , and . SemEval@COLING, page 1126-1134. International Committee for Computational Linguistics, (2020)How does the task complexity of masked pretraining objectives affect downstream performance?, , , , and . ACL (Findings), page 10527-10537. Association for Computational Linguistics, (2023)Project-then-Transfer: Effective Two-stage Cross-lingual Transfer for Semantic Dependency Parsing., , , and . EACL, page 2586-2594. Association for Computational Linguistics, (2021)On the Role of Syntactic Graph Convolutions for Identifying and Classifying Argument Components., and . AAAI, page 9997-9998. AAAI Press, (2019)Hitachi at SemEval-2020 Task 3: Exploring the Representation Spaces of Transformers for Human Sense Word Similarity., , , and . SemEval@COLING, page 286-291. International Committee for Computational Linguistics, (2020)Hitachi at SemEval-2022 Task 2: On the Effectiveness of Span-based Classification Approaches for Multilingual Idiomaticity Detection., , , and . SemEval@NAACL, page 135-144. Association for Computational Linguistics, (2022)Predicting Argumentative Influence Probabilities in Large-Scale Online Civic Engagement., and . WWW (Companion Volume), page 1427-1434. ACM, (2018)Towards Better Non-Tree Argument Mining: Proposition-Level Biaffine Parsing with Task-Specific Parameterization., , , , and . ACL, page 3259-3266. Association for Computational Linguistics, (2020)