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INEX Tweet Contextualization task: Evaluation, results and lesson learned

Patrice Bellot, Véronique Moriceau, Josiane Mothe, Eric SanJuan, Xavier Tannier
2016 Information Processing & Management  
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

Damiano Spina
2020 figshare.com  
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

Tiziana Catarci, Nicola Ferro, Pamela Forner, Djoerd Hiemstra, Jussi Karlgren, Anselmo Peñas, Giuseppe Santucci, Christa Womser-Hacker
2012 SIGIR Forum  
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

Hasti Ziaimatin, Tudor Groza, Jane Hunter
2013 Future Internet  
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

Preslav Nakov, David Corney, Maram Hasanain, Firoj Alam, Tamer Elsayed, Alberto Barrón-Cedeño, Paolo Papotti, Shaden Shaar, Giovanni Da San Martino
2021 Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence   unpublished
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]

Mihai Georgescu, University, My
2019
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