Summarizing scientific articles: experiments with relevance and rhetorical status
Computational Linguistics - Summarization
Weak information work in scientific discovery
Information Processing and Management: an International Journal
Information Processing and Management: an International Journal
An annotation scheme for citation function
SigDIAL '06 Proceedings of the 7th SIGdial Workshop on Discourse and Dialogue
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
What Can the Web Do for Science?
Computer
BooksOnline'11: 4th workshop on online books, complementary social media, and crowdsourcing
Proceedings of the 20th ACM international conference on Information and knowledge management
TiNYARM: Awareness of Research Papers in a Community of Practice
Proceedings of the 13th International Conference on Knowledge Management and Knowledge Technologies
A user-centric model to semantically annotate and retrieve scientific documents
Proceedings of the sixth international workshop on Exploiting semantic annotations in information retrieval
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When scientists or engineers are looking for information in document collections, or on the web, they generally have a precise objective in mind. Instead of looking for documents "about a topic T", they rather try to answer specific needs such as finding the definition of a concept, finding results for a particular problem, checking whether an idea has already been tested, or comparing the scientific conclusions of two articles. This paper presents an indexing model which includes the decomposition of documents into fragments that will correspond to discourse elements (definition, hypothesis, method, result, etc.). The division of documents into fragments should allow scientists to retrieve more relevant information and to make queries more precise. Each type of discourse element will be modeled by defining specific characteristics. The representation model will allow operations that merge or combine retrieved documents or fragments. We will propose an interface that allows strategic reading such as parallel reading of fragments.