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  • × author_ss:"Liu, J."
  • × year_i:[2020 TO 2030}
  1. Jiang, Y.; Meng, R.; Huang, Y.; Lu, W.; Liu, J.: Generating keyphrases for readers : a controllable keyphrase generation framework (2023) 0.03 
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    Abstract
    With the wide application of keyphrases in many Information Retrieval (IR) and Natural Language Processing (NLP) tasks, automatic keyphrase prediction has been emerging. However, these statistically important phrases are contributing increasingly less to the related tasks because the end-to-end learning mechanism enables models to learn the important semantic information of the text directly. Similarly, keyphrases are of little help for readers to quickly grasp the paper's main idea because the relationship between the keyphrase and the paper is not explicit to readers. Therefore, we propose to generate keyphrases with specific functions for readers to bridge the semantic gap between them and the information producers, and verify the effectiveness of the keyphrase function for assisting users' comprehension with a user experiment. A controllable keyphrase generation framework (the CKPG) that uses the keyphrase function as a control code to generate categorized keyphrases is proposed and implemented based on Transformer, BART, and T5, respectively. For the Computer Science domain, the Macro-avgs of , , and on the Paper with Code dataset are up to 0.680, 0.535, and 0.558, respectively. Our experimental results indicate the effectiveness of the CKPG models.
    Date
    22. 6.2023 14:55:20
    Source
    Journal of the Association for Information Science and Technology. 74(2023) no.7, S.759-774
  2. Zhang, Y.; Liu, J.; Song, S.: ¬The design and evaluation of a nudge-based interface to facilitate consumers' evaluation of online health information credibility (2023) 0.03 
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    Date
    22. 6.2023 18:18:34
    Source
    Journal of the Association for Information Science and Technology. 74(2023) no.7, S.828-845
  3. Liu, J.; Zhao, J.: More than plain text : censorship deletion in the Chinese social media (2021) 0.01 
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    Source
    Journal of the Association for Information Science and Technology. 72(2021) no.1, S.18-31
  4. Liu, J.; Liu, C.: Personalization in text information retrieval : a survey (2020) 0.01 
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    Source
    Journal of the Association for Information Science and Technology. 71(2020) no.3, S.349-369
  5. Jiang, X.; Liu, J.: Extracting the evolutionary backbone of scientific domains : the semantic main path network analysis approach based on citation context analysis (2023) 0.01 
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    Source
    Journal of the Association for Information Science and Technology. 74(2023) no.5, S.546-569
  6. Liu, J.; Zhou, Z.; Gao, M.; Tang, J.; Fan, W.: Aspect sentiment mining of short bullet screen comments from online TV series (2023) 0.01 
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    Source
    Journal of the Association for Information Science and Technology. 74(2023) no.8, S.1026-1045

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