Papers by Masashi Oshika

2 papers
Transformer-based Live Update Generation for Soccer Matches from Microblog Posts (2023.emnlp-main)

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Challenge: Existing systems to generate sports updates from tweets are not able to handle vast amounts of diverse tweets, and this remains a challenge for future studies.
Approach: They propose to generate live updates for soccer matches from tweets using a large pre-trained language model and incorporate a classifier to control the number of updates and a mechanism to reduce redundancy of duplicate and similar updates.
Outcome: The proposed system can generate live updates for soccer matches from tweets and achieve high performance by considering preceding updates.
Simplifying Translations for Children: Iterative Simplification Considering Age of Acquisition with LLMs (2024.findings-acl)

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Challenge: Neural machine translation (NMT) systems do not take into account the complexity of the words used to compose the translations.
Approach: They propose a method that replaces high Age of Acquisitions words in translations with simpler words to match the user’s level.
Outcome: The proposed method replaces high-AoA words with lower-Aa words while maintaining high BLEU and COMET scores.

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