- 年份:2016 年
- 編號:20
- Topic分類:4
- Topic分數:1
- Publish:2016 IEEE/ACM Joint Conference on Digital Libraries (JCDL)
- 作者:Guillaume Cabanac; Muthu Kumar Chandrasekaran; Ingo Frommholz; Kokil Jaidka; Min-Yen Kan; Philipp Mayr; Dietmar Wolfram
Keywords:Bibliometrics, Information Retrieval, Digital Libraries, Nat ural Language Processing, Text Mining
Abstract:Joint workshop on bibliometric-enhanced information retrieval and natural language processing for digital librariesBIRNDL 2017The large scale of scholarly publications poses a challenge for scholars in information-seeking and sensemakingBibliometricinformation retrievalIRtext mining and NLP techniques could help in these activitiesbut are not yet widely used in digita Retrieval and IndexingThis is about how to more effectively search for and analyze information within a large number of academic publicationswhich is closely related to the retrieval and indexing functions of libraries This abstract mainly discusses the scale and challenges of academic publishing and mentions how to use bibliometricsinformation retrievalIRtext miningand NLP technologies to help scholars find information and understand meaning in this large-scale dataSpecifically for NLPnatural language processingthe purpose of this workshop is to inspire IR researchers and digital library professionals to explore new NLP methodsinformation retrievalbibliometricsand recommendation technologies to advance the understandinganalysisand retrieval of academic documents
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