| Ontology learning part one—on discovering taxonomic relations from the web A Maedche, V Pekar, S Staab Web intelligence, 301-319, 2002 | 182 | 2002 |
| Taxonomy learning-factoring the structure of a taxonomy into a semantic classification decision V Pekar, S Staab COLING 2002: The 19th International Conference on Computational Linguistics, 2002 | 170 | 2002 |
| Discovery of subjective evaluations of product features in hotel reviews V Pekar, S Ou Journal of Vacation Marketing 14 (2), 145-155, 2008 | 118 | 2008 |
| Development and Alignment of a Domain-Specific Ontology for Question Answering. S Ou, V Pekar, C Orasan, C Spurk, M Negri LREC, 2008 | 99 | 2008 |
| Translation universals: do they exist? A corpus-based NLP study of convergence and simplification GC Pastor, R Mitkov, N Afzal, V Pekar 8th AMTA conference, 75-81, 2008 | 98 | 2008 |
| Anaphora resolution: To what extent does it help NLP applications? R Mitkov, R Evans, C Orăsan, LA Ha, V Pekar Anaphora: Analysis, Algorithms and Applications: 6th Discourse Anaphora and …, 2007 | 55 | 2007 |
| A Comparison of Summarisation Methods Based on Term Specificity Estimation. C Orasan, V Pekar, L Hasler LREC, 2004 | 51 | 2004 |
| Methods for extracting and classifying pairs of cognates and false friends R Mitkov, V Pekar, D Blagoev, A Mulloni Machine translation 21, 29-53, 2007 | 48 | 2007 |
| Finding translations for low-frequency words in comparable corpora V Pekar, R Mitkov, D Blagoev, A Mulloni Machine Translation 20, 247-266, 2006 | 47 | 2006 |
| Automatic Detection of Orthographics Cues for Cognate Recognition. A Mulloni, V Pekar LREC, 2387-2390, 2006 | 45 | 2006 |
| Feature weighting for co-occurrence-based classification of words V Pekar, M Krkoska, S Staab COLING 2004: Proceedings of the 20th International Conference on …, 2004 | 43 | 2004 |
| Acquisition of verb entailment from text V Pekar Proceedings of the Human Language Technology Conference of the NAACL, Main …, 2006 | 41 | 2006 |
| Word classification based on combined measures of distributional and semantic similarity V Pekar, S Staab 10th Conference of the European Chapter of the Association for Computational …, 2003 | 41 | 2003 |
| Early detection of heterogeneous disaster events using social media V Pekar, J Binner, H Najafi, C Hale, V Schmidt Journal of the Association for Information Science and Technology 71 (1), 43-54, 2020 | 39 | 2020 |
| New generation translation memory: content-sensivite matching V Pekar, R Mitkov Proceedings of the 40th anniversary congress of the swiss association of …, 2007 | 24 | 2007 |
| Linguistic preprocessing for distributional classification of words V Pekar Proceedings of the Workshop on Enhancing and Using Electronic Dictionaries …, 2004 | 21 | 2004 |
| Forecasting consumer spending from purchase intentions expressed on social media V Pekar, J Binner Association for Computational Linguistics, 2017 | 17 | 2017 |
| Discovery of event entailment knowledge from text corpora V Pekar Computer Speech & Language 22 (1), 1-16, 2008 | 17 | 2008 |
| Ubham: Lexical resources and dependency parsing for aspect-based sentiment analysis V Pekar, N Afzal, B Bohnet Proceedings of the 8th International Workshop on Semantic Evaluation …, 2014 | 16 | 2014 |
| Environmental, social and governance (ESG) performance of firms in the era of geopolitical conflicts M Saharti, SM Chaudhry, V Pekar, E Bajoori Journal of Environmental Management 351, 119744, 2024 | 15 | 2024 |
Steffen StaabWAIS, University of Southampton, UK & Analytic Computing, Universität Stuttgart, DEVerified email at ipvs.uni-stuttgart.de
