subject predicate object context
56753 Creator 3c9bbcc5b9dec5879be1be1348991a7e
56753 Creator cd9399913909d9a164856bb74229a18a
56753 Date 2017-09-02
56753 Is Part Of repository
56753 abstract This work looks in depth at several studies that have attempted to automate the process of citation importance classification based on the publications’ full text. We analyse a range of features that have been previously used in this task. Our experimental results confirm that the number of in-text references are highly predictive of influence. Contrary to the work of Valenzuela et al. (2015), we find abstract similarity one of the most predictive features. Overall, we show that many of the features previously described in literature are not particularly predictive. Consequently, we discuss challenges and potential improvements in the classification pipeline, provide a critical review of the performance of individual features and address the importance of constructing a large scale gold-standard reference dataset.
56753 authorList authors
56753 editorList editors
56753 presentedAt ext-fe54ee5198b2bd2d094c8d159838fa97
56753 status peerReviewed
56753 type AcademicArticle
56753 type Article
56753 label Pride, David and Knoth, Petr (2017). Incidental or Influential? - Challenges in Automatically Detecting Citation Importance Using Publication Full Texts. In: Research and Advanced Technology for Digital Libraries (Kamps, Jaap; Tsakonas, Giannis; Manolopoulos, Yannis; Iliadis, Lazaros and Karydis, Ioannis eds.), Lecture Notes in Computer Science ; Information Systems and Applications, incl. Internet/Web, and HCI, Springer, Cham, Switzerland, pp. 572–578.
56753 label Pride, David and Knoth, Petr (2017). Incidental or Influential? - Challenges in Automatically Detecting Citation Importance Using Publication Full Texts. In: Research and Advanced Technology for Digital Libraries (Kamps, Jaap; Tsakonas, Giannis; Manolopoulos, Yannis; Iliadis, Lazaros and Karydis, Ioannis eds.), Lecture Notes in Computer Science ; Information Systems and Applications, incl. Internet/Web, and HCI, Springer, Cham, Switzerland, pp. 572–578.
56753 Publisher ext-1c5ddec173ca8cdfba8b274309638579
56753 Title Incidental or Influential? - Challenges in Automatically Detecting Citation Importance Using Publication Full Texts
56753 in dataset oro