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INEX Tweet Contextualization task: Evaluation, results and lesson learned
2016
Information Processing & Management
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Finally, we also mention the lessons we learned and that it is worth considering when designing a task. ...
Microblogging platforms such as Twitter are increasingly used for on-line client and market analysis. This motivated the proposal of a new track at CLEF INEX lab of Tweet Contextualization. ...
We would like to acknowledge the French ANR agency for their support through the CAAS-Contextual Analysis and Adaptive Search project (ANR-10-CORD-001 01). ...
doi:10.1016/j.ipm.2016.03.002
fatcat:7h64buwylvhefbcarhxeusjd5q
Entity-Based Filtering and Topic Detection for Online Reputation Monitoring in Twitter
2020
figshare.com
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set of task definitions, evaluation measures and reusable test collections to tackle this problem. ...
--modeled as a binary classification task--and 'topic detection' (What is being said about an entity in a given tweet stream?), that consists of clustering tweets according to topics. ...
INEX Tweet Contextualization Track Running since 2010, the INEX Tweet Contextualization Track tackles the problem of providing some context about the subject of a given tweet automatically. ...
doi:10.6084/m9.figshare.1115122.v4
fatcat:bnwfsgm2prai3k6zrvnekdqjm4
CLEF 2012
2012
SIGIR Forum
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Acknowledgments The success of CLEF 2012 would not have been possible without the invaluable contributions of all the members of the Program Committee, Organizing Committee, students and volunteers that ...
Finally, we would like to express our gratitude to the following sponsoring organizations for their significant and timely support: ELIAS Research Network Programme, Quaero, PROMISE Network of Excellence ...
data; snippet retrieval; relevance feedback; tweet Contextualization. ...
doi:10.1145/2422256.2422261
fatcat:yv3w4ozkg5fsbf5hkd6bayuj64
Semantic and Time-Dependent Expertise Profiling Models in Community-Driven Knowledge Curation Platforms
2013
Future Internet
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Evaluation results indicate a significant improvement in the accuracy of profiles generated by this approach. ...
In this paper, we incorporate Language Modeling into our methodology to enhance the accuracy of resulting profiles. ...
Acknowledgments This research is funded by the Australian Research Council (ARC) under the Linkage grant SKELETOME-LP100100156 and the Discovery Early Career Researcher Award (DECRA)-DE120100508. ...
doi:10.3390/fi5040490
fatcat:tutrangcofhvff2me4j3txzfqi
Automated Fact-Checking for Assisting Human Fact-Checkers
2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence
unpublished
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In each case, we pay attention to the challenges and the potential impact on real-world fact-checking. ...
The reporting and the analysis of current events around the globe has expanded from professional, editor-lead journalism all the way to citizen journalism. ...
This work is also part of the Tanbih mega-project, developed at the Qatar Computing Research Institute, HBKU, which aims to limit the impact of "fake news," propaganda, and media bias by making users aware ...
doi:10.24963/ijcai.2021/619
fatcat:nfqws64wgzdadi7w6mkgvvychm
When in doubt ask the crowd : leveraging collective intelligence for improving event detection and machine learning
[article]
2019
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Lessons Learned
Agreement Influence As noticed in Section 7.3.1 the performance of the automatic method is dependent on the training and testing data. ...
By parallely tracking events in Twitter and Wikipedia pages that exhibit abnormally large spikes in page views the authors compare the resultant tweets and Wikipedia pages over textual and time dimensions ...
doi:10.15488/8457
fatcat:ikul6z5pijej7lixobizpb3zvq