Research output per year
Research output per year
Project Details
Description
Besides being used to find information, data science can be used to assess researchers’ behavior. Running since 2013, the UCL Big Data Institute is a long-term institute based at University College London, founded with support from Elsevier, as well as supported by other sponsors. Researchers work on multiple projects in the areas of adaptive user modelling, modelling citations and download behavior and on knowledge graphs.
| Status | Finished |
|---|---|
| Effective start/end date | 06/1/14 → 05/31/17 |
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Collaborative User Clustering for Short Text Streams.
Liang, S., Ren, Z., Yilmaz, E. & Kanoulas, E., 2017, Proceedings of the Thirty-first AAAI Conference on Artificial Intelligence. AAAI ConferenceResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
11 Scopus citations -
Multi-Task learning of keyphrase boundary classification
Augenstein, I. & Sogaard, A., 2017, In: Association for Computational Linguistics.Research output: Contribution to journal › Article › peer-review
Open Access20 Scopus citations -
SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications
Augenstein, I., Das, M., Riedel, S., Vikraman, L. & McCallum, A., 2017, In: ARXIV.Research output: Contribution to journal › Article › peer-review