数字图书馆文献计量学增强信息检索和自然语言处理联合研讨会(BIRNDL 2016)

Muthu Kumar Chandrasekaran, Kokil Jaidka, Philipp Mayr
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引用次数: 10

摘要

学术出版物的规模之大,对学者的信息获取和意义建构提出了挑战。文献计量学、信息检索(IR)、文本挖掘和自然语言处理技术可以帮助这些活动,但尚未广泛应用于数字图书馆。本次研讨会旨在激发IR研究人员和数字图书馆专业人员详细阐述自然语言处理、信息检索、科学计量学和推荐技术方面的新方法,这些技术可以推动学术文献理解、分析和大规模检索的最新技术。
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Joint workshop on bibliometric-enhanced information retrieval and natural language processing for digital libraries (BIRNDL 2016)
The large scale of scholarly publications poses a challenge for scholars in information-seeking and sensemaking. Bibliometric, information retrieval (IR), text mining and NLP techniques could help in these activities, but are not yet widely used in digital libraries. This workshop is intended to stimulate IR researchers and digital library professionals to elaborate on new approaches in natural language processing, information retrieval, scientometric and recommendation techniques which can advance the state-of-the-art in scholarly document understanding, analysis and retrieval at scale.
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Joint workshop on bibliometric-enhanced information retrieval and natural language processing for digital libraries (BIRNDL 2016) Panel: Preserving born-digital news ArchiveSpark: Efficient Web archive access, extraction and derivation Desiderata for exploratory search interfaces to Web archives in support of scholarly activities How to identify specialized research communities related to a researcher's changing interests
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