Year |
Citation |
Score |
2006 |
Peng F, McCallum A. Information extraction from research papers using conditional random fields Information Processing & Management. 42: 963-979. DOI: 10.1016/J.Ipm.2005.09.002 |
0.334 |
|
2005 |
Wang S, Schuurmans D, Peng F, Zhao Y. Combining statistical language models via the latent maximum entropy principle Machine Learning. 60: 229-250. DOI: 10.1007/S10994-005-0928-7 |
0.67 |
|
2004 |
Wang S, Schuurmans D, Peng F, Zhao Y. Learning mixture models with the regularized latent maximum entropy principle. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 15: 903-16. PMID 15461082 DOI: 10.1109/Tnn.2004.828755 |
0.572 |
|
2004 |
Huang X, Peng F, An A, Schuurmans D. Dynamic Web log session identification with statistical language models Journal of the American Society For Information Science and Technology. 55: 1290-1303. DOI: 10.1002/Asi.20084 |
0.664 |
|
2004 |
Peng F, Schuurmans D, Wang S. Augmenting naive Bayes classifiers with statistical language models Information Retrieval. 7: 317-345. |
0.655 |
|
2003 |
Huang X, Peng F, Schuurmans D, Cercone N, Robertson SE. Applying machine learning to text segmentation for information retrieval Information Retrieval. 6: 333-362. DOI: 10.1023/A:1026028229881 |
0.623 |
|
2003 |
Huang X, Peng F, An A, Schuurmans D, Cercone N. Session boundary detection for association rule learning using n-gram language models Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2671: 237-251. DOI: 10.1007/3-540-44886-1_19 |
0.633 |
|
2003 |
Peng F, Schuurmans D. Combining naive Bayes and n-gram language models for text classification Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2633: 335-350. |
0.649 |
|
2003 |
Wang S, Schuurmans D, Peng F, Zhao Y. Semantic N-gram language modeling with the latent maximum entropy principle Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 1: 376-379. |
0.651 |
|
2002 |
Peng F, Huang X, Schuurmans D, Cercone N, Robertson SE. Using self-supervised word segmentation in Chinese information retrieval Sigir Forum (Acm Special Interest Group On Information Retrieval). 349-350. |
0.55 |
|
2001 |
Peng F, Schuurmans D. Self-supervised chinese word segmentation Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2189: 238-247. DOI: 10.1007/3-540-44816-0_24 |
0.612 |
|
1991 |
Peng FCC. Historical linguistics and dialectology: A case study of Taiwan Language Sciences. 13: 317-333. DOI: 10.1016/0388-0001(91)90021-R |
0.301 |
|
1985 |
Peng FCC. What is neurolinguistics? Journal of Neurolinguistics. 1: 7-30. DOI: 10.1016/S0911-6044(85)80003-8 |
0.329 |
|
1984 |
Peng FCC. Language in a semiotic frame: An introduction Language Sciences. 6: 189-201. DOI: 10.1016/S0388-0001(84)80015-7 |
0.325 |
|
1982 |
Peng FCC. Sex-differentiation in language variation: A sociolinguistic contribution to the language sciences Language Sciences. 4: 131-154. DOI: 10.1016/S0388-0001(82)80003-X |
0.31 |
|
1982 |
Peng FCC. The place of sociolinguistics in language sciences Language Sciences. 4: 101-113. DOI: 10.1016/S0388-0001(82)80001-6 |
0.309 |
|
Show low-probability matches. |