Jan 25, 2022 · As an interesting but under-explored task, story ending generation aims at generating an appropriate ending for an incomplete story.
To address this issue, we propose a two-stage Stroylines and Sentiment Aware Pre-trained model. (SSAP) for generating sentimentally relevant story endings. We.
Jun 23, 2024 · To address this issue, we propose a two-stage S troylines and S entiment A ware P re-trained model (SSAP) for generating sentimentally relevant ...
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Aug 27, 2024 · SSAP: Storylines and Sentiment Aware Pre-Trained Model for Story Ending Generation. IEEE ACM Trans. Audio Speech Lang. Process. 30: 686-694 ...
SSAP: Storylines and Sentiment Aware Pre-Trained Model for Story Ending Generation. by Yongkang Liu, Qingbao Huang, Jing Li, Linzhang Mo, Yi Cai, Qing Li. As ...
SSAP: Storylines and Sentiment Aware Pre-Trained Model for Story Ending Generation. As an interesting but under-explored task, story ending generation aims ...
SSAP: Storylines and Sentiment Aware Pre-Trained Model for Story Ending Generation · pdf icon · hmtl icon · Yongkang Liu, Qingbao Huang, Jing Li, Linzhang Mo, ...
To address this issue, we propose a two-stage S troylines and S entiment A ware P re-trained model (SSAP) for generating sentimentally relevant story endings.
May 23, 2023 · The model is jointly trained on the causal events inference task and the story ending generation task. The causal events inference task aims to ...
Missing: SSAP: Sentiment