| Compositional vector space models for knowledge base completion A Neelakantan, B Roth, A McCallum Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 440* | 2015 |
| A survey on the role of negation in sentiment analysis M Wiegand, A Balahur, B Roth, D Klakow, A Montoyo Proceedings of the workshop on negation and speculation in natural language …, 2010 | 385 | 2010 |
| Joint aspect and polarity classification for aspect-based sentiment analysis with end-to-end neural networks M Schmitt, S Steinheber, K Schreiber, B Roth Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 150 | 2018 |
| Evaluating neural network explanation methods using hybrid documents and morphological agreement N Poerner, B Roth, H Schütze Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 132 | 2018 |
| Multilingual relation extraction using compositional universal schema P Verga, D Belanger, E Strubell, B Roth, A McCallum Proceedings of the 2016 Conference of the North American Chapter of the …, 2016 | 119 | 2016 |
| Topic models for word sense disambiguation and token-based idiom detection L Li, B Roth, C Sporleder Proceedings of the 48th Annual Meeting of the Association for Computational …, 2010 | 94 | 2010 |
| A survey of noise reduction methods for distant supervision B Roth, T Barth, M Wiegand, D Klakow Proceedings of the 2013 workshop on Automated knowledge base construction, 73-78, 2013 | 79 | 2013 |
| Machine translation using overlapping biphrase alignments and sampling B Roth, AR McCallum, M Dymetman, N Cancedda US Patent 8,775,155, 2014 | 72 | 2014 |
| Effective Slot Filling Based on Shallow Distant Supervision Methods B Roth, T Barth, M Wiegand, M Singh, D Klakow Proceedings of the Sixth Text Analysis Conference (TAC 2013), 2013 | 64 | 2013 |
| Comparing convolutional neural networks to traditional models for slot filling H Adel, B Roth, H Schütze Proceedings of the 2016 Conference of the North American Chapter of the …, 2016 | 62 | 2016 |
| Combining generative and discriminative model scores for distant supervision B Roth, D Klakow Proceedings of the 2013 Conference on Empirical Methods in Natural Language …, 2013 | 55 | 2013 |
| Interpretable question answering on knowledge bases and text A Sydorova, N Poerner, B Roth Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 39 | 2019 |
| Interpretable textual neuron representations for NLP N Poerner, B Roth, H Schütze Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and …, 2018 | 35 | 2018 |
| Position-aware self-attention with relative positional encodings for slot filling I Bilan, B Roth arXiv preprint arXiv:1807.03052, 2018 | 32 | 2018 |
| Towards bootstrapping a polarity shifter lexicon using linguistic features M Schulder, M Wiegand, J Ruppenhofer, B Roth Proceedings of the Eighth International Joint Conference on Natural Language …, 2017 | 26 | 2017 |
| Relationfactory: A fast, modular and effective system for knowledge base population B Roth, T Barth, G Chrupała, M Gropp, D Klakow Proceedings of the Demonstrations at the 14th Conference of the European …, 2014 | 22 | 2014 |
| Joint bootstrapping machines for high confidence relation extraction P Gupta, B Roth, H Schütze Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 21 | 2018 |
| A gold standard for relation extraction in the food domain M Wiegand, B Roth, E Lasarcyk, S Köser, D Klakow Proceedings of the Eighth International Conference on Language Resources and …, 2012 | 21 | 2012 |
| Building Knowledge Bases with Universal Schema: Cold Start and Slot-Filling Approaches. B Roth, N Monath, D Belanger, E Strubell, P Verga, A McCallum 2015 Text Analysis Conference (TAC) Workshop, 2015 | 19 | 2015 |
| Feature-based models for improving the quality of noisy training data for relation extraction B Roth, D Klakow Proceedings of the 22nd ACM international conference on Information …, 2013 | 19 | 2013 |
Dietrich KlakowSaarland University, Saarland Informatics Campus, PharmaScienceHubПотвърден имейл адрес: lsv.uni-saarland.de