| Information extraction from research papers using conditional random fields F Peng, A McCallum Information processing & management 42 (4), 963-979, 2006 | 717 | 2006 |
| N-gram-based author profiles for authorship attribution V Kešelj, F Peng, N Cercone, C Thomas Proceedings of the conference pacific association for computational …, 2003 | 610 | 2003 |
| Chinese segmentation and new word detection using conditional random fields F Peng, F Feng, A McCallum COLING 2004: Proceedings of the 20th International Conference on …, 2004 | 600 | 2004 |
| Augmenting naive bayes classifiers with statistical language models F Peng, D Schuurmans, S Wang Information Retrieval 7 (3), 317-345, 2004 | 362 | 2004 |
| Event threading within news topics R Nallapati, A Feng, F Peng, J Allan Proceedings of the thirteenth ACM international conference on Information …, 2004 | 320 | 2004 |
| Combining naive Bayes and n-gram language models for text classification F Peng, D Schuurmans European Conference on Information Retrieval, 335-350, 2003 | 249 | 2003 |
| Grapheme-to-phoneme conversion using long short-term memory recurrent neural networks K Rao, F Peng, H Sak, F Beaufays 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 223 | 2015 |
| Language independent authorship attribution with character level n-grams F Peng, D Schuurmans, V Keselj, S Wang 10th Conference of the European Chapter of the Association for Computational …, 2003 | 212 | 2003 |
| Unsupervised query segmentation using generative language models and wikipedia B Tan, F Peng Proceedings of the 17th international conference on World Wide Web, 347-356, 2008 | 196 | 2008 |
| An integrated, conditional model of information extraction and coreference with applications to citation matching B Wellner, A McCallum, F Peng, M Hay arXiv preprint arXiv:1207.4157, 2012 | 187 | 2012 |
| Speech recognition using domain knowledge F Peng, B Shahshahani, HS Roy US Patent 9,646,606, 2017 | 181 | 2017 |
| Predictive stemming for web search with statistical machine translation models F Peng, N Ahmed, Y Lu, MJ Zagha US Patent 7,788,276, 2010 | 177 | 2010 |
| Data driven word pronunciation learning and scoring with crowd sourcing based on the word's phonemes pronunciation scores F Peng, F Beaufays, B Strope, X Lei, PJM Mengibar, TD Strohman US Patent 9,741,339, 2017 | 170 | 2017 |
| Improving search relevance for implicitly temporal queries D Metzler, R Jones, F Peng, R Zhang Proceedings of the 32nd international ACM SIGIR conference on Research and …, 2009 | 160 | 2009 |
| Context sensitive stemming for web search F Peng, N Ahmed, X Li, Y Lu Proceedings of the 30th annual international ACM SIGIR conference on …, 2007 | 141 | 2007 |
| Dynamic web log session identification with statistical language models X Huang, F Peng, A An, D Schuurmans Journal of the American Society for Information Science and Technology 55 …, 2004 | 114 | 2004 |
| Language and task independent text categorization with simple language models F Peng, D Schuurmans, S Wang Proceedings of the 2003 Conference of the North American Chapter of the …, 2003 | 112 | 2003 |
| Personalize Search Results for Search Queries with General Implicit Local Intent Y Lu, F Peng, B Dumoulin US Patent App. 12/694,515, 2011 | 110 | 2011 |
| Applying machine learning to text segmentation for information retrieval X Huang, F Peng, D Schuurmans, N Cercone, SE Robertson Information Retrieval 6 (3), 333-362, 2003 | 97 | 2003 |
| Self-supervised Chinese word segmentation F Peng, D Schuurmans International Symposium on Intelligent Data Analysis, 238-247, 2001 | 96 | 2001 |
Dale SchuurmansResearch Scientist, Google Brain / Professor, University of AlbertaEmail verificata su cs.ualberta.ca
