NLPIR4DL 2009 Workshop
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See: Citation Analysis Task, Citation Network.
References
2009
- http://aye.comp.nus.edu.sg/nlpir4dl/
- In recent years, interest in scholarly publications in electronic forms has boomed, and several large-scale electronic digital libraries and citation indices are now used everyday by researchers. Current digital libraries collect and allow access to digital papers and their metadata (including citations), but largely do not attempt to analyze the items they collect.
- The goal of this workshop is to investigate how developments in natural language processing and information retrieval techniques can advance the state-of-the-art in scholarly document understanding, analysis and retrival. Full document text analysis can help design automatic summarization and sentiment detection methods, automated recommendation and reviewing systems, and may provide data for visualizing scientific trends and bibliometrics. Citation analysis takes this a step further, adding scientific social network analysis as another strand of evidence to enhance solutions to the above challenges. Web based digital libraries add download counts and Web 2.0 information such as tagging.
- Aside from researchers, this workshop hopes to interest other stakeholders, namely implementers, publishers and policymakers. Even within computer science, many different scholarly sites exist -- ACM Portal, IEEE Xplore, Google Scholar, PSU's CiteSeerX, MSRA's Libra, Tsinghua's ArnetMiner, Trier's DBLP, UMass' Rexa, Hiroshima's PRESRI -- and with this workshop we hope to bring a number of these contributers together. Today's publishers continue to seek new ways to be relevant to their consumers, in disseminating the right published works to their audience. The fact that formal citation metrics have become an increasingly large factor in decision-making by universities and funding bodies worldwide makes the need for research in such topics and for better methods for measuring the impact of work more pressing.
- We invite stimulating as well as unpublished submissions on topics including but not limited to) full-text analysis, multimedia and multilingual analysis and alignment as well as citation-based NLP or IR. Specific examples of fields of interests include:
- new information access methods for scientific papers
- automatic creation of reviews and automatic qualitative assessment of submissions
- summarisation of scientific articles
- navigation, searching and browsing in scholarly DLs
- techniques for suggesting and recommending scholarly papers, reviewers, citations and publication venues
- information retrieval for scholarly text, e.g. citation-based IR
- topical modeling analysis
- network analysis and citation analysis in scholarly DLs
- citation function/motivation analysis
- novel bibliographic metrics
- niche search in scholarly DLs, e.g., survey paper finding and provenance tracing of algorithms)
- knowledge discovery and analysis of the ancestry of ideas
- analyses of writing style in scholarly publications
- multilingual and multimedia analysis and alignment of scholarly works
- managing digital archives of linguistic corpora; federated access
- metadata and controlled vocabularies for resource description and discovery
- automatic metadata discovery, such as language identification
- data cleaning and data quality
- disambiguation issues in scholarly DLs using NLP or IR techniques.