Re-Ranking Words to Improve Interpretability of Automatically Generated Topics
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Association for Computational Linguistics
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Neural topic models with survival supervision: Jointly predicting time-to-event outcomes and learning how clinical features relate;Artificial Intelligence in Medicine;2024-08
2. The state’s role in governing artificial intelligence: development, control, and promotion through national strategies;Policy Design and Practice;2023-01-02
3. Automatic Generation of Topic Labels;Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval;2020-07-25
4. Keywords Extraction Based on Word2Vec and TextRank;Proceedings of the 2020 The 3rd International Conference on Big Data and Education;2020-04
5. Obtaining More Specific Topics and Detecting Weak Signals by Topic Word Selection;Springer Series in Reliability Engineering;2020
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