Search Results for author: Keiichi Goshima

Found 4 papers, 2 papers with code

Learning with Contrastive Examples for Data-to-Text Generation

1 code implementation COLING 2020 Yui Uehara, Tatsuya Ishigaki, Kasumi Aoki, Hiroshi Noji, Keiichi Goshima, Ichiro Kobayashi, Hiroya Takamura, Yusuke Miyao

Existing models for data-to-text tasks generate fluent but sometimes incorrect sentences e. g., {``}Nikkei gains{''} is generated when {``}Nikkei drops{''} is expected.

Data-to-Text Generation

Generating Market Comments Referring to External Resources

1 code implementation WS 2018 Tatsuya Aoki, Akira Miyazawa, Tatsuya Ishigaki, Keiichi Goshima, Kasumi Aoki, Ichiro Kobayashi, Hiroya Takamura, Yusuke Miyao

Comments on a stock market often include the reason or cause of changes in stock prices, such as {``}Nikkei turns lower as yen{'}s rise hits exporters.

Text Generation

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