Paper-Conference

Predicting the popularity of web 2.0 items based on user comments
In the current Web 2.0 era, the popularity of Web resources fluctuates ephemerally, based on trends and social interest. As a result, …
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Chinese Informal Word Normalization: an Experimental Study
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Exploiting Discourse Analysis for Article-Wide Temporal Classification
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Mining Scientific Terms and their Definitions: A Study of the ACL Anthology
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Mining Informal Language from Chinese Microtext: Joint Word Recognition and Segmentation
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Addressing cold-start in app recommendation: latent user models constructed from twitter followers
As a tremendous number of mobile applications (apps) are readily available, users have difficulty in identifying apps that are relevant …
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Constructing an anonymous dataset from the personal digital photo libraries of mac app store users
Personal digital photo libraries embody a large amount of information useful for research into photo organization, photo layout, and …
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Exploiting potential citation papers in scholarly paper recommendation
To help generate relevant suggestions for researchers, recommendation systems have started to leverage the latent interests in the …
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Extracting and matching authors and affiliations in scholarly documents
We introduce Enlil, an information extraction system that discovers the institutional affiliations of authors in scholarly papers. …
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Multimodal alignment of scholarly documents and their presentations
We present a multimodal system for aligning scholarly docu- ments to corresponding presentations in a fine-grained man- ner (i.e., per …
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