An unsupervised neural attention model for aspect extraction R He, WS Lee, HT Ng, D Dahlmeier Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 527 | 2017 |
Recursive neural conditional random fields for aspect-based sentiment analysis W Wang, SJ Pan, D Dahlmeier, X Xiao arXiv preprint arXiv:1603.06679, 2016 | 465 | 2016 |
Coupled multi-layer attentions for co-extraction of aspect and opinion terms W Wang, SJ Pan, D Dahlmeier, X Xiao Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017 | 460 | 2017 |
Building a large annotated corpus of learner English: The NUS corpus of learner English D Dahlmeier, HT Ng, SM Wu Proceedings of the eighth workshop on innovative use of NLP for building …, 2013 | 442 | 2013 |
Better evaluation for grammatical error correction D Dahlmeier, HT Ng Proceedings of the 2012 Conference of the North American Chapter of the …, 2012 | 396 | 2012 |
An interactive multi-task learning network for end-to-end aspect-based sentiment analysis R He, WS Lee, HT Ng, D Dahlmeier arXiv preprint arXiv:1906.06906, 2019 | 324 | 2019 |
Effective attention networks for aspect-level sentiment classification HT Nguyen, M Le Nguyen 2018 10th International conference on knowledge and systems engineering (KSE …, 2018 | 318 | 2018 |
Exploiting document knowledge for aspect-level sentiment classification R He, WS Lee, HT Ng, D Dahlmeier arXiv preprint arXiv:1806.04346, 2018 | 226 | 2018 |
Grammatical error correction with alternating structure optimization D Dahlmeier, HT Ng Proceedings of the 49th annual meeting of the association for computational …, 2011 | 115 | 2011 |
A beam-search decoder for grammatical error correction D Dahlmeier, HT Ng Proceedings of the 2012 Joint Conference on Empirical Methods in Natural …, 2012 | 100 | 2012 |
Methods and Systems for Automated Text Correction DHR Dahlmeier, W Lu, HT Ng US Patent App. 13/878,983, 2014 | 84 | 2014 |
Correcting semantic collocation errors with L1-induced paraphrases D Dahlmeier, HT Ng Proceedings of the 2011 conference on empirical methods in natural language …, 2011 | 83 | 2011 |
Adaptive semi-supervised learning for cross-domain sentiment classification R He, WS Lee, HT Ng, D Dahlmeier arXiv preprint arXiv:1809.00530, 2018 | 82 | 2018 |
Not So Unique in the Crowd: a Simple and Effective Algorithm for Anonymizing Location Data. Y Song, D Dahlmeier, S Bressan PIR@ SIGIR 2014, 19-24, 2014 | 74 | 2014 |
Revisiting the design of data stream processing systems on multi-core processors S Zhang, B He, D Dahlmeier, AC Zhou, T Heinze 2017 IEEE 33rd International conference on data engineering (ICDE), 659-670, 2017 | 58 | 2017 |
Domain adaptation for semantic role labeling in the biomedical domain D Dahlmeier, HT Ng Bioinformatics 26 (8), 1098-1104, 2010 | 58 | 2010 |
Better evaluation metrics lead to better machine translation C Liu, D Dahlmeier, HT Ng Proceedings of the 2011 Conference on Empirical Methods in Natural Language …, 2011 | 52 | 2011 |
PEM: A paraphrase evaluation metric exploiting parallel texts C Liu, D Dahlmeier, HT Ng Proceedings of the 2010 Conference on Empirical Methods in Natural Language …, 2010 | 45 | 2010 |
TESLA: Translation evaluation of sentences with linear-programming-based analysis C Liu, D Dahlmeier, HT Ng Proceedings of the Joint Fifth Workshop on Statistical Machine Translation …, 2010 | 45 | 2010 |
Joint learning of preposition senses and semantic roles of prepositional phrases D Dahlmeier, HT Ng, T Schultz Proceedings of the 2009 Conference on Empirical Methods in Natural Language …, 2009 | 42 | 2009 |