Computing Veracity – the Fourth Challenge of Big Data


Refereed Papers

Under review

  1. A. Zubiaga, B. Wang, M. Liakata, R. Procter. Stance Classification of Social Media Users in Independence Movements.
  2. A. Zubiaga, A. Aker, K. Bontcheva, M. Liakata, R. Procter. Detection and Resolution of Rumours in Social Media: A Survey.
  3. A. Zubiaga, M. Liakata, R. Procter. Learning Reporting Dynamics during Breaking News for Rumour Detection in Social Media.
  4. A. Aker, L. Derczynski, K. Bontcheva. Simple Stance Classification for Online Discourse.
  5. M. Rowe, L. Derczynski. Tracking the Diffusion of Named Entities.

Year 3

  1. P. Tolmie, R. Procter, D. Randall, M. Rouncefield, C. Burger, G. Wong Sak Hoi, A. Zubiaga, M. Liakata. Supporting the use of user generated content in journalistic practice. Proceedings of CHI. 2017, best paper.
  2. I. Augenstein, L. Derczynski, K. Bontcheva. Generalisation in Named Entity Recognition: A Quantitative Analysis. Computer Speech and Language. 2017.
  3. L. Derczynski, K. Bontcheva, M. Liakata, R. Procter, G. Wong Sak Hoi, A. Zubiaga. SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours. Proceedings of SemEval. 2017.
  4. G. Gkotsis, A. Oellrich, S. Velupillai, M. Liakata, T. Hubbard, R. Dobson, R. Dutta. Characterisation of mental health conditions in social media using Informed Deep Learning. Scientific Reports 7, Article number: 45141. 2017
  5. A. Zubiaga, A. Voss, R. Procter, M. Liakata, B. Wang, A. Tsakalidis. Towards Real-Time, Country-Level Location Classification of Worldwide Tweets. IEEE Transactions on Knowledge and Data Engineering. 2017.
  6. E. Kochkina, M. Liakata, I. Augenstein. Turing at SemEval-2017 Task 8: Sequential Approach to Rumour Stance Classification with Branch-LSTM. Proceedings of SemEval. 2017.
  7. P.K. Srijith, M. Lukasik, K. Bontcheva, T. Cohn. Longitudinal Modeling of Social Media with Hawkes Process based on Users and Networks. Proceedings of the international conference on Advances in Social Network Analysis and Mining (ASONAM). 2017.
  8. A. P. García-Plaza, V. Fresno, R. Martínez, A. Zubiaga. Using Fuzzy Logic to Leverage HTML Markup for Web Page Representation. IEEE Transactions on Fuzzy Systems. 2016.
  9. L. Derczynski, J. Strötgen, D. Maynard, M. A. Greenwood, M. Jung. GATE-Time: Extraction of Temporal Expressions and Events. Proceedings of the Language Resources and Evaluation Conference (LREC). 2016.
  10. S. Vakulenko, M. Göbel, A. Scharl, L. Nixon. Visualising the Propagation of News on the Web. Proceedings of the NewsIR’16 Workshop at ECIR. 2016.
  11. P. Lendvai, I. Augenstein, K. Bontcheva, T. Declerck. Monolingual Social Media Datasets for Detecting Contradiction and Entailment. Proceedings of the Language Resources and Evaluation Conference (LREC). 2016.
  12. A. Zubiaga, M. Liakata, R. Procter, G. Wong Sak Hoi, P. Tolmie. Analysing How People Orient to and Spread Rumours in Social Media by Looking at Conversational Threads. PLOS ONE. 2016.
  13. A. Zubiaga, I. San Vicente, P. Gamallo, J. Ramom Pichel, I. Alegria, N. Aranberri, A. Ezeiza, V. Fresno. TweetLID: A Benchmark for Tweet Language Identification. Language Resources and Evaluation. Language Resources and Evaluation. 2016.
  14. I. San Vicente, I. Alegria, C. España-Bonet, P. Gamallo, H. Gonçalo Oliveira, E. Martinez Garcia, A. Toral, A. Zubiaga. TweetMT: A Parallel Microblog Corpus. Proceedings of the Language Resources and Evaluation Conference (LREC). 2016.
  15. M. Lukasik, P. K. Srijith, D. Vu, K. Bontcheva, A. Zubiaga, T. Cohn. Hawkes Processes for Continuous Time Sequence Classification: an Application to Rumour Stance Classification in Twitter. ACL. 2016.
  16. A. Kolliakou, M. Ball, L. Derczynski, D. Chandran, G. Gkotsis, P. Deluca, R. Jackson, H. Shetty, R. Stewart. Novel psychoactive substances: An investigation of temporal trends in social media and electronic health records. European Psychiatry. 2016.
  17. T. Declerck. Representation of Polarity Information of Elements of German Compound Words. Proceedinga LDL 2016 5th Workshop on Linked Data in Linguistics: Managing, Building and Using Linked Language Resources. 2016.
  18. M. Dragoni, D. Reforgiato Recupero, K. Denecke,
    Y. Deng, T. Declerck. Joint Proceedings of the 2th Workshop on Emotions, Modality, Sentiment Analysis and the Semantic Web and the 1st International Workshop on Extraction and Processing of Rich Semantics from Medical Texts. 2016.
  19. T. Declerck, P. Lendvai. Towards a Formal Representation of Components of German Compounds. Proceedings of the 14th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology. 2016.
  20. P. Lendvai, U. Reichel, T. Declerck. Factuality Drift Assessment by Lexical Markers in Resolved Rumors. Proceedings of the 1st Int. Workshop on Semantic Change & Evolving Semantics. 2016.
  21. T. Declerck, P. Osenova, G. Georgiev, P. Lendvai. Ontological Modelling of Rumors. Chapter in Linguistic Linked Open Data. Springer. 2016.
  22. L. Derczynski. Automatically ordering events and times in text. ISBN 978-3-319-47240-9. 2017.
  23. L. Derczynski. Broad Twitter Corpus: A Diverse Named Entity Recognition Resource. Proceedings of the International Conference on Computational Linguistics (COLING). 2016.
  24. A. Zubiaga, E. Kochkina, M. Liakata, R. Procter, M. Lukasik. Stance classification in Rumours as a Sequential Task Exploiting the Tree Structure of Social Media Conversations. Proceedings of the International Conference on Computational Linguistics (COLING). 2016.
  25. B. Han, A. Rahimi, L. Derczynski, T. Baldwin. Twitter Geolocation Prediction Shared Task of the 2016 Workshop on Noisy User-generated Text. Proceedings of the 2nd Workshop on Noisy User-generated Text (W-NUT). 2016.
  26. U. Reichel, P. Lendvai. Veracity Computing from Lexical Cues and Perceived Certainty Trends. Proceedings of the 2nd Workshop on Noisy User-generated Text (W-NUT). 2016.
  27. P. Lendvai, U. Reichel. Contradiction Detection for Rumorous Claims. Proceedings of the Workshop on Extra-Propositional Aspects of Meaning (ExProM) in Computational Linguistics. 2016.
  28. T. Declerck, K. Mörth. Towards a Sense-based Access to Related Online Lexical Resources. Proceedings of Euralex. 2016.
  29. S. Vakulenko, A. Weichselbraun, A. Scharl. Detection of Valid Sentiment-Target Pairs in Online Product Reviews and News Media Coverage. Proceedings of the International Conference on Web Intelligence. 2016.
  30. A. Scharl, A. Weichselbraun, M. Göbel, W. Rafelsberger, R. Kamolov. Scalable Knowledge Extraction and Visualization for Web Intelligence. Proceedings of the Hawaii International Conference on System Sciences. 2016 – best paper
  31. A. Scharl, D. Herring, W. Rafelsberger, A. Hubmann-Haidvogel, R. Kamolov, D. Fischl, M. Föls, A. Weichselbraun. Semantic Systems and Visual Tools to Support Environmental Communication. IEEE Systems Journal. 2017.

Year 2

  1. A. Scharl, A. Hubmann-Haidvogel, A. Jones, D. Fischl, R. Kamolov, A. Weichselbraun, W. Rafelsberger. Analyzing the Public Discourse on Works of Fiction – Detection and Visualization of Emotion in Online Coverage about HBO’s Game of Thrones. Information Processing & Management. 2015 – best paper
  2. T. Declerck, P. Lendvai. Towards the Representation of Hashtags in Linguistic Linked Open Data Format. Proceedings of the conference on Recent Advances in Natural Language Processing (RANLP). 2015.
  3. T. Declerck, P. Lendvai. Processing and Normalizing Hashtags. Proceedings of the conference on Recent Advances in Natural Language Processing (RANLP). 2015.
  4. P. Lendvai, T. Declerck. Similarity-Based Cross-Media Retrieval for Events. Proceedings of the LWA 2015 Workshops. 2015.
  5. L. Derczynski, S. Chester, K.S. Bøgh. Tune Your Brown Clustering, Please. Proceedings of the conference on Recent Advances in Natural Language Processing (RANLP). 2015.
  6. M. Lukasik, T. Cohn, K. Bontcheva. Classifying Tweet Level Judgements of Rumours in Social Media. Proceedings of the conference on Empirical Methods in Natural Language Processing (EMNLP). 2015.
  7. M. Lukasik, P.K. Srijith, T. Cohn, K. Bontcheva. Modeling Tweet Arrival Times using Log-Gaussian Cox Processes. Proceedings of the conference on Empirical Methods in Natural Language Processing (EMNLP). 2015.
  8. M. Lukasik, T. Cohn, K. Bontcheva. Point Process Modelling of Rumour Dynamics in Social Media. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (ACL). 2015.
  9. H. Krieger, T. Declerck. An OWL Ontology for Biographical Knowledge. Representing Time-Dependent Factual Knowledge. Proceedings of the First Conference on Biographical Data in a Digital World. 2015.
  10. L. Derczynski, I. Augenstein, K. Bontcheva. USFD: Twitter NER with Drift Compensation and Linked Data. Proceedings of the Workshop on Noisy User-generated Text (W-NUT). 2015.
  11. M. Leginus, L. Derczynski, P. Dolog. Enhanced Information Access to Social Streams through Word Clouds with Entity Grouping. Proceedings of the 11th International Conference on Web Information Systems and Technologies (WEBIST). 2015 – best student paper
  12. A. Zubiaga, M. Liakata, R. Procter, K. Bontcheva, P. Tolmie. Crowdsourcing the Annotation of Rumourous Conversations in Social Media. Proceedings of WWW companion, Web Science track. 2015.
  13. L. Derczynski, D. Maynard, G. Rizzo, M. van Erp, G. Gorrell, R. Troncy, J. Petrak, K. Bontcheva. Analysis of Named Entity Recognition and Linking for Tweets. DOI 10.1016/j.ipm.2014.10.006, in Information Processing and Management journal (IPM). 2015.
  14. A. Zubiaga, M. Liakata, R. Procter, K. Bontcheva, P. Tolmie. Towards Detecting Rumours in Social Media. Proceedings of the AAAI Workshop on AI for Cities. 2015.
  15. P. Lendvai, T. Declerck. Bootstrapped Extraction of Index Terms from Normalized User-Generated Content. Proceedings of NLP 4 CMC 2015: 2nd Workshop on Natural Language Processing for Computer-Mediated Communication / Social Media. German Society for Computational Linguistics & Language Technology.

Year 1

  1. B. Velichkov, B. Kapukaranov, I. Grozev, J. Karanesheva, T. Mihaylov, Y. Kiprov, G. Georgiev, I. Koychev, P. Nakov. SU-FMI: System Description for SemEval-2014 Task 9 on Sentiment Analysis in Twitter. In Proceedings of the  Workshop on Semantic Evaluation (SemEval). 2014.
  2. G. Dimitroff, T. Rose, B. Popov. Likelihood and F-measure maximization under uncertainty. Submitted to Journal of Machine Learning Research (JMLR).
  3. G. Dimitroff, G. Georgiev, L. Toloşi, B. Popov. Efficient F measure maximization via weighted maximum likelihood. DOI 10.1007/s10994-014-5439-y, in Machine Learning. 2014.
  4. L. Derczynski, K. Bontcheva. Pheme: Veracity in Digital Social Networks. Proceedings of the 10th Joint ACL – ISO Workshop on Interoperable Semantic Annotation (ISA). 2014.
  5. L. Derczynski, K. Bontcheva. Passive-Aggressive Sequence Labeling with Discriminative Post-Editing for Recognising Person Entities in Tweets. Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2014). 2014.
  6. L. Derczynski, K. Bontcheva. Spatio-temporal grounding of claims made on the web, in Pheme. Proceedings of the 10th Joint ACL – ISO Workshop on Interoperable Semantic Annotation (ISA). 2014.
  7. A. Scharl, R. Kamolov, F. Fischl, W. Rafelsberger, A. Jones. Visualizing Contextual Information in Aggregated Web Content Repositories. Proceedings of the 9th Latin American Web Congress (LA-WEB). 2014.





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