论文标题
学习电影角色之间的相似性及其对了解人类经验的潜在影响
Learning Similarity between Movie Characters and Its Potential Implications on Understanding Human Experiences
论文作者
论文摘要
尽管NLP社区已经研究了人类经验的许多不同方面，但没有人捕捉到它的全部丰富性。我们提出了一项新任务，以基于不太可能的设置捕获这种丰富性：电影角色。我们试图捕捉被社区策划为20,000个主题的电影角色之间的主题级相似之处。通过引入一种平衡性能和效率的两步方法，我们设法比最近的基于段落的方法实现了9-27 \％的改进。最后，我们演示了如何可能使用从电影角色那里学到的主题信息来理解人的经验中的主题，如Reddit帖子所示。
While many different aspects of human experiences have been studied by the NLP community, none has captured its full richness. We propose a new task to capture this richness based on an unlikely setting: movie characters. We sought to capture theme-level similarities between movie characters that were community-curated into 20,000 themes. By introducing a two-step approach that balances performance and efficiency, we managed to achieve 9-27\% improvement over recent paragraph-embedding based methods. Finally, we demonstrate how the thematic information learnt from movie characters can potentially be used to understand themes in the experience of people, as indicated on Reddit posts.
