Extracting opinion targets in a single and cross-domain setting with conditional random fields N Jakob, I Gurevych Proceedings of the 2010 conference on empirical methods in natural language …, 2010 | 727 | 2010 |
Beyond the stars: exploiting free-text user reviews to improve the accuracy of movie recommendations N Jakob, SH Weber, MC Müller, I Gurevych Proceedings of the 1st international CIKM workshop on Topic-sentiment …, 2009 | 198 | 2009 |
Sentence and expression level annotation of opinions in user-generated discourse C Toprak, N Jakob, I Gurevych Proceedings of the 48th Annual Meeting of the Association for Computational …, 2010 | 193 | 2010 |
Using anaphora resolution to improve opinion target identification in movie reviews N Jakob, I Gurevych Proceedings of the ACL 2010 Conference Short Papers, 263-268, 2010 | 68 | 2010 |
A comparative study of feature extraction algorithms in customer reviews L Ferreira, N Jakob, I Gurevych 2008 IEEE international conference on semantic computing, 144-151, 2008 | 67 | 2008 |
Sentence Level Subjectivity and Sentiment Analysis Experiments in NTCIR-7 MOAT Challenge. L Qu, C Toprak, N Jakob, I Gurevych NTCIR, 2008 | 17 | 2008 |
Extracting Opinion Targets from User-Generated Discourse with an Application to Recommendation Systems N Jakob Technische Universität Darmstadt, 2011 | 6 | 2011 |
LRTwiki: Enriching the likelihood ratio test with encyclopedic information for the extraction of relevant terms N Jakob, MC Müller, I Gurevych Proceedings of the WikiAI 09-IJCAI Workshop: User Contributed Knowledge and …, 2009 | 6 | 2009 |
Darmstadt service review corpus C Toprak, N Jakob, I Gurevych | 2 | 2010 |
Sentence-level Sentiment Analysis Experiments at the NTCIR-7 MOAT Challenge L Qu, C Toprak, N Jakob, I Gurevych | | |