-
Jiang, Y.; Meng, R.; Huang, Y.; Lu, W.; Liu, J.: Generating keyphrases for readers : a controllable keyphrase generation framework (2023)
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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
-
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)
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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
-
Liu, J.: Review and prospect for centralized cataloging in China (1999)
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- Abstract
- With a long history, cataloging has developed gradually in China. Nowadays, both the content and method of cataloging have changed in many ways. As a type of organizing cataloging model, centralized cataloging came into being in 1936 in China. The history and the current status of centralized cataloging in China are described in the paper. The prospect for cataloging in the country is also discussed. In respect to resource building and sharing, cooperative cataloging is thought to be the best way to develop cataloging in the future.
-
Liu, J.; Wu, Y.; Zhou, L.: ¬A hybrid method for abstracting newspaper articles (1999)
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- Source
- Journal of the American Society for Information Science. 50(1999) no.13, S.1234-1245
-
Liu, J.; Zhao, J.: More than plain text : censorship deletion in the Chinese social media (2021)
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- Source
- Journal of the Association for Information Science and Technology. 72(2021) no.1, S.18-31
-
Liu, J.; Li, Y.; Hastings, S.K.: Simplified scheme of search task difficulty reasons (2019)
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- Source
- Journal of the Association for Information Science and Technology. 70(2019) no.5, S.526-529
-
Liu, J.; Liu, C.: Personalization in text information retrieval : a survey (2020)
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- Source
- Journal of the Association for Information Science and Technology. 71(2020) no.3, S.349-369
-
Liu, J.: CIP in China : the development and status quo (1996)
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- Source
- Cataloging and classification quarterly. 22(1996) no.1, S.69-76
-
Liu, J.; Belkin, N.J.: Personalizing information retrieval for multi-session tasks : examining the roles of task stage, task type, and topic knowledge on the interpretation of dwell time as an indicator of document usefulness (2015)
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- Source
- Journal of the Association for Information Science and Technology. 66(2015) no.1, S.58-81
-
Zhang, X.; Liu, J.; Cole, M.; Belkin, N.: Predicting users' domain knowledge in information retrieval using multiple regression analysis of search behaviors (2015)
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- Source
- Journal of the Association for Information Science and Technology. 66(2015) no.5, S.980-1000
-
Liu, J.; Liu, C.; Belkin, N.J.: Predicting information searchers' topic knowledge at different search stages (2016)
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- Source
- Journal of the Association for Information Science and Technology. 67(2016) no.11, S.2652-2666
-
Liu, J.; Zhang, X.: ¬The role of domain knowledge in document selection from search results (2019)
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- Source
- Journal of the Association for Information Science and Technology. 70(2019) no.11, S.1236-1247
-
Jiang, X.; Liu, J.: Extracting the evolutionary backbone of scientific domains : the semantic main path network analysis approach based on citation context analysis (2023)
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- Source
- Journal of the Association for Information Science and Technology. 74(2023) no.5, S.546-569
-
Liu, J.; Zhou, Z.; Gao, M.; Tang, J.; Fan, W.: Aspect sentiment mining of short bullet screen comments from online TV series (2023)
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- Source
- Journal of the Association for Information Science and Technology. 74(2023) no.8, S.1026-1045
-
Zhou, D.; Lawless, S.; Wu, X.; Zhao, W.; Liu, J.: ¬A study of user profile representation for personalized cross-language information retrieval (2016)
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- Date
- 20. 1.2015 18:30:22
