Second International Chinese Word Segmentation Bakeoff
Result Summary |
The following tables present the results for each corpus and each track, sorted by F score.
Particpant | User Run ID | R | P | F | OOV | ROOV | RIV |
---|---|---|---|---|---|---|---|
Masayuki Asahara Nara institute of Science and Technology |
b | 0.952 | 0.951 | 0.952 | 0.043 | 0.696 | 0.963 |
Masayuki Asahara Nara institute of Science and Technology |
a | 0.955 | 0.939 | 0.947 | 0.043 | 0.606 | 0.971 |
Huihsin Tseng Stanford NLP Group |
0.950 | 0.943 | 0.947 | 0.043 | 0.718 | 0.960 | |
Aitao Chen Yahoo! Inc |
0.955 | 0.934 | 0.945 | 0.043 | 0.468 | 0.978 | |
Yaoyong Li Department of Computer Science, The University of Sheffield |
0.946 | 0.942 | 0.944 | 0.043 | 0.648 | 0.959 | |
Guohong Fu Department of Linguistics, The University of Hong Kong |
0.947 | 0.934 | 0.940 | 0.043 | 0.523 | 0.966 | |
Masayuki Asahara Nara institute of Science and Technology |
c | 0.944 | 0.934 | 0.939 | 0.043 | 0.445 | 0.967 |
Chun Yu Kit City university of Hong Kong |
0.944 | 0.902 | 0.923 | 0.043 | 0.234 | 0.976 | |
Heng LI France Telecom R&D Beijing |
0.948 | 0.900 | 0.923 | 0.043 | 0.158 | 0.983 | |
Wei Jiang ITNLP Lab, Harbin Institute of Technology |
0.943 | 0.895 | 0.918 | 0.043 | 0.137 | 0.979 | |
Xiaodong SHI Xiamen University |
0.877 | 0.796 | 0.835 | 0.043 | 0.128 | 0.911 |
Particpant | User Run ID | R | P | F | OOV | ROOV | RIV |
---|---|---|---|---|---|---|---|
Hwee Tou Ng National University of Singapore |
0.962 | 0.950 | 0.956 | 0.043 | 0.684 | 0.975 | |
Aitao Chen Yahoo! Inc |
0.958 | 0.938 | 0.948 | 0.043 | 0.506 | 0.978 | |
Yaoyong Li Department of Computer Science, The University of Sheffield |
0.949 | 0.947 | 0.948 | 0.043 | 0.686 | 0.961 | |
Guohong Fu Department of Linguistics, The University of Hong Kong |
0.955 | 0.938 | 0.946 | 0.043 | 0.579 | 0.972 | |
Ka Po Chow City University of Hong Kong |
0.943 | 0.931 | 0.937 | 0.043 | 0.531 | 0.962 | |
Wei Jiang ITNLP Lab, Harbin Institute of Technology |
0.952 | 0.920 | 0.936 | 0.043 | 0.354 | 0.979 | |
Heng LI France Telecom R&D Beijing |
0.952 | 0.919 | 0.935 | 0.043 | 0.311 | 0.981 | |
Xiaodong SHI Xiamen University |
0.004 | 0.004 | 0.004 | 0.043 | 0.085 | 0.000 |
Particpant | User Run ID | R | P | F | OOV | ROOV | RIV |
---|---|---|---|---|---|---|---|
Huihsin Tseng Stanford NLP Group |
0.941 | 0.946 | 0.943 | 0.074 | 0.698 | 0.961 | |
Masayuki Asahara Nara institute of Science and Technology |
a | 0.942 | 0.941 | 0.942 | 0.074 | 0.629 | 0.967 |
Masayuki Asahara Nara institute of Science and Technology |
b | 0.937 | 0.946 | 0.941 | 0.074 | 0.736 | 0.953 |
Aitao Chen Yahoo! Inc |
0.949 | 0.931 | 0.940 | 0.074 | 0.561 | 0.980 | |
Guohong Fu Department of Linguistics, The University of Hong Kong |
0.944 | 0.933 | 0.939 | 0.074 | 0.626 | 0.969 | |
Yaoyong Li Department of Computer Science, The University of Sheffield |
0.931 | 0.941 | 0.936 | 0.074 | 0.657 | 0.953 | |
Tak Pang Lau The Chinese University of Hong Kong |
d | 0.937 | 0.922 | 0.929 | 0.074 | 0.698 | 0.956 |
Masayuki Asahara Nara institute of Science and Technology |
c | 0.915 | 0.940 | 0.928 | 0.074 | 0.598 | 0.940 |
Tak Pang Lau The Chinese University of Hong Kong |
a | 0.938 | 0.915 | 0.927 | 0.074 | 0.658 | 0.961 |
Tak Pang Lau The Chinese University of Hong Kong |
b | 0.936 | 0.913 | 0.925 | 0.074 | 0.656 | 0.959 |
Seungshik Kang Kookmin University |
0.917 | 0.925 | 0.921 | 0.074 | 0.539 | 0.948 | |
Tak Pang Lau The Chinese University of Hong Kong |
c | 0.925 | 0.896 | 0.910 | 0.074 | 0.639 | 0.948 |
Wei Jiang ITNLP Lab, Harbin Institute of Technology |
0.934 | 0.865 | 0.898 | 0.074 | 0.248 | 0.989 | |
Heng LI France Telecom R&D Beijing |
0.932 | 0.862 | 0.895 | 0.074 | 0.215 | 0.989 | |
Xiaodong SHI Xiamen University |
0.814 | 0.711 | 0.759 | 0.074 | 0.227 | 0.860 |
Particpant | User Run ID | R | P | F | OOV | ROOV | RIV |
---|---|---|---|---|---|---|---|
Hwee Tou Ng National University of Singapore |
0.967 | 0.956 | 0.962 | 0.074 | 0.806 | 0.980 | |
Tsai Yu-Fang Academia Sinica |
0.958 | 0.950 | 0.954 | 0.074 | 0.775 | 0.973 | |
Aitao Chen Yahoo! Inc |
0.952 | 0.937 | 0.945 | 0.074 | 0.608 | 0.980 | |
Guohong Fu Department of Linguistics, The University of Hong Kong |
0.944 | 0.938 | 0.941 | 0.074 | 0.667 | 0.966 | |
Yaoyong Li Department of Computer Science, The University of Sheffield |
0.933 | 0.940 | 0.936 | 0.074 | 0.653 | 0.955 | |
Wei Jiang ITNLP Lab, Harbin Institute of Technology |
0.946 | 0.898 | 0.922 | 0.074 | 0.417 | 0.989 | |
Heng LI France Telecom R&D Beijing |
0.940 | 0.901 | 0.920 | 0.074 | 0.410 | 0.982 | |
Xiaodong SHI Xiamen University |
0.014 | 0.013 | 0.013 | 0.074 | 0.029 | 0.012 |
Particpant | User Run ID | R | P | F | OOV | ROOV | RIV |
---|---|---|---|---|---|---|---|
Aitao Chen Yahoo! Inc |
0.953 | 0.946 | 0.950 | 0.058 | 0.636 | 0.972 | |
Huihsin Tseng Stanford NLP Group |
0.946 | 0.954 | 0.950 | 0.058 | 0.787 | 0.956 | |
Huipeng Zhang Information Retrieval Lab,Harbin Institute of Technology |
a | 0.952 | 0.945 | 0.949 | 0.058 | 0.673 | 0.969 |
Huipeng Zhang Information Retrieval Lab,Harbin Institute of Technology |
b | 0.952 | 0.943 | 0.947 | 0.058 | 0.673 | 0.969 |
Chen Jiajun Nanjing University |
0.941 | 0.950 | 0.946 | 0.058 | 0.813 | 0.949 | |
Guohong Fu Department of Linguistics, The University of Hong Kong |
0.943 | 0.944 | 0.944 | 0.058 | 0.656 | 0.961 | |
Masayuki Asahara Nara institute of Science and Technology |
b | 0.930 | 0.951 | 0.941 | 0.058 | 0.760 | 0.941 |
Wei Jiang ITNLP Lab, Harbin Institute of Technology |
0.954 | 0.927 | 0.941 | 0.058 | 0.518 | 0.981 | |
ShuangLong Li Institute of Computing Technology,Chinese Academy of Sciences |
0.938 | 0.942 | 0.940 | 0.058 | 0.767 | 0.948 | |
Masayuki Asahara Nara institute of Science and Technology |
a | 0.930 | 0.938 | 0.934 | 0.058 | 0.521 | 0.955 |
Heng LI France Telecom R&D Beijing |
0.950 | 0.919 | 0.934 | 0.058 | 0.449 | 0.980 | |
Xiaofei Lu Department of Linguistics, The Ohio State University |
0.922 | 0.934 | 0.928 | 0.058 | 0.728 | 0.934 | |
Yaoyong Li Department of Computer Science, The University of Sheffield |
0.919 | 0.935 | 0.927 | 0.058 | 0.593 | 0.939 | |
Masayuki Asahara Nara institute of Science and Technology |
c | 0.904 | 0.930 | 0.917 | 0.058 | 0.325 | 0.940 |
Tak Pang Lau The Chinese University of Hong Kong |
a | 0.926 | 0.908 | 0.917 | 0.058 | 0.535 | 0.950 |
Tak Pang Lau The Chinese University of Hong Kong |
c | 0.918 | 0.915 | 0.917 | 0.058 | 0.621 | 0.936 |
Chun Yu Kit City university of Hong Kong |
0.929 | 0.904 | 0.916 | 0.058 | 0.252 | 0.971 | |
Seungshik Kang Kookmin University |
0.900 | 0.925 | 0.912 | 0.058 | 0.389 | 0.931 | |
Tak Pang Lau The Chinese University of Hong Kong |
b | 0.917 | 0.903 | 0.910 | 0.058 | 0.600 | 0.937 |
Zeng Hua-lin Computer Science Department, Xiamen University |
a | 0.906 | 0.886 | 0.896 | 0.058 | 0.290 | 0.943 |
Zeng Hua-lin Computer Science Department, Xiamen University |
c | 0.907 | 0.843 | 0.874 | 0.058 | 0.082 | 0.958 |
Zeng Hua-lin Computer Science Department, Xiamen University |
b | 0.906 | 0.842 | 0.873 | 0.058 | 0.081 | 0.956 |
Xiaodong SHI Xiamen University |
0.843 | 0.737 | 0.786 | 0.058 | 0.153 | 0.885 |
Particpant | User Run ID | R | P | F | OOV | ROOV | RIV |
---|---|---|---|---|---|---|---|
Hwee Tou Ng National University of Singapore |
0.968 | 0.969 | 0.969 | 0.058 | 0.838 | 0.976 | |
Wei Jiang ITNLP Lab, Harbin Institute of Technology |
0.968 | 0.966 | 0.967 | 0.058 | 0.826 | 0.977 | |
Chen Jiajun Nanjing University |
0.964 | 0.970 | 0.967 | 0.058 | 0.864 | 0.970 | |
Aitao Chen Yahoo! Inc |
a | 0.964 | 0.966 | 0.965 | 0.058 | 0.841 | 0.971 |
Huipeng Zhang Information Retrieval Lab,Harbin Institute of Technology |
a | 0.961 | 0.969 | 0.965 | 0.058 | 0.872 | 0.966 |
Huipeng Zhang Information Retrieval Lab,Harbin Institute of Technology |
b | 0.961 | 0.966 | 0.963 | 0.058 | 0.869 | 0.966 |
Guohong Fu Department of Linguistics, The University of Hong Kong |
0.959 | 0.965 | 0.962 | 0.058 | 0.853 | 0.966 | |
Heng LI France Telecom R&D Beijing |
0.964 | 0.960 | 0.962 | 0.058 | 0.788 | 0.974 | |
Xiaodong SHI Xiamen University |
0.959 | 0.954 | 0.957 | 0.058 | 0.776 | 0.970 | |
ShuangLong Li Institute of Computing Technology,Chinese Academy of Sciences |
0.944 | 0.961 | 0.952 | 0.058 | 0.869 | 0.948 | |
Tsai Yu-Fang Academia Sinica |
0.945 | 0.956 | 0.951 | 0.058 | 0.790 | 0.955 | |
Ka Po Chow City University of Hong Kong |
0.952 | 0.951 | 0.951 | 0.058 | 0.784 | 0.962 | |
Zeng Hua-lin Computer Science Department, Xiamen University |
a | 0.943 | 0.944 | 0.943 | 0.058 | 0.737 | 0.955 |
Yaoyong Li Department of Computer Science, The University of Sheffield |
0.932 | 0.944 | 0.938 | 0.058 | 0.755 | 0.943 | |
Zeng Hua-lin Computer Science Department, Xiamen University |
b | 0.886 | 0.919 | 0.902 | 0.058 | 0.561 | 0.905 |
Aitao Chen Yahoo! Inc |
b | 0.877 | 0.904 | 0.890 | 0.058 | 0.720 | 0.886 |
Thomas Keenan United States Government, Department of Defense |
0.781 | 0.846 | 0.813 | 0.058 | 0.628 | 0.791 |
Particpant | User Run ID | R | P | F | OOV | ROOV | RIV |
---|---|---|---|---|---|---|---|
Huihsin Tseng Stanford NLP Group |
0.962 | 0.966 | 0.964 | 0.026 | 0.717 | 0.968 | |
Guohong Fu Department of Linguistics, The University of Hong Kong |
0.962 | 0.962 | 0.962 | 0.026 | 0.592 | 0.972 | |
Aitao Chen Yahoo! Inc |
a | 0.969 | 0.952 | 0.960 | 0.026 | 0.379 | 0.985 |
Aitao Chen Yahoo! Inc |
b | 0.968 | 0.953 | 0.960 | 0.026 | 0.381 | 0.984 |
Wei Jiang ITNLP Lab, Harbin Institute of Technology |
0.973 | 0.945 | 0.959 | 0.026 | 0.323 | 0.991 | |
Masayuki Asahara Nara institute of Science and Technology |
b | 0.952 | 0.964 | 0.958 | 0.026 | 0.718 | 0.958 |
Heng LI France Telecom R&D Beijing |
0.974 | 0.940 | 0.957 | 0.026 | 0.210 | 0.995 | |
Chen Jiajun Nanjing University |
0.959 | 0.956 | 0.957 | 0.026 | 0.496 | 0.972 | |
Yaoyong Li Department of Computer Science, The University of Sheffield |
0.952 | 0.960 | 0.956 | 0.026 | 0.673 | 0.960 | |
Jia-Lin Tsai Department of Information Management, Tung Nan Institute of Technology |
06 | 0.958 | 0.952 | 0.955 | 0.026 | 0.503 | 0.970 |
Jia-Lin Tsai Department of Information Management, Tung Nan Institute of Technology |
07 | 0.958 | 0.952 | 0.955 | 0.026 | 0.504 | 0.970 |
Jia-Lin Tsai Department of Information Management, Tung Nan Institute of Technology |
04 | 0.958 | 0.949 | 0.954 | 0.026 | 0.465 | 0.972 |
Jia-Lin Tsai Department of Information Management, Tung Nan Institute of Technology |
05 | 0.958 | 0.951 | 0.954 | 0.026 | 0.493 | 0.971 |
Jia-Lin Tsai Department of Information Management, Tung Nan Institute of Technology |
03 | 0.968 | 0.938 | 0.953 | 0.026 | 0.205 | 0.989 |
Chun Yu Kit City university of Hong Kong |
0.965 | 0.935 | 0.950 | 0.026 | 0.189 | 0.986 | |
Masayuki Asahara Nara institute of Science and Technology |
a | 0.955 | 0.942 | 0.949 | 0.026 | 0.378 | 0.971 |
Seungshik Kang Kookmin University |
0.945 | 0.949 | 0.947 | 0.026 | 0.576 | 0.955 | |
Jia-Lin Tsai Department of Information Management, Tung Nan Institute of Technology |
00 | 0.956 | 0.938 | 0.947 | 0.026 | 0.327 | 0.973 |
ShuangLong Li Institute of Computing Technology,Chinese Academy of Sciences |
0.948 | 0.942 | 0.945 | 0.026 | 0.664 | 0.955 | |
Jia-Lin Tsai Department of Information Management, Tung Nan Institute of Technology |
02 | 0.964 | 0.924 | 0.944 | 0.026 | 0.025 | 0.989 |
Masayuki Asahara Nara institute of Science and Technology |
c | 0.964 | 0.923 | 0.943 | 0.026 | 0.025 | 0.990 |
Jia-Lin Tsai Department of Information Management, Tung Nan Institute of Technology |
01 | 0.963 | 0.924 | 0.943 | 0.026 | 0.025 | 0.989 |
Tak Pang Lau The Chinese University of Hong Kong |
a | 0.946 | 0.933 | 0.939 | 0.026 | 0.587 | 0.956 |
Tak Pang Lau The Chinese University of Hong Kong |
b | 0.941 | 0.932 | 0.937 | 0.026 | 0.624 | 0.950 |
Zeng Hua-lin Computer Science Department, Xiamen University |
b | 0.957 | 0.917 | 0.936 | 0.026 | 0.025 | 0.982 |
Zeng Hua-lin Computer Science Department, Xiamen University |
c | 0.955 | 0.915 | 0.935 | 0.026 | 0.025 | 0.980 |
DUAN Huiming institute of Computational Linguistics, Peking University |
0.937 | 0.928 | 0.932 | 0.026 | 0.457 | 0.950 | |
Xiaodong SHI Xiamen University |
0.908 | 0.927 | 0.917 | 0.026 | 0.247 | 0.926 | |
Zeng Hua-lin Computer Science Department, Xiamen University |
a | 0.898 | 0.896 | 0.897 | 0.026 | 0.327 | 0.914 |
Particpant | User Run ID | R | P | F | OOV | ROOV | RIV |
---|---|---|---|---|---|---|---|
Wei Jiang ITNLP Lab, Harbin Institute of Technology |
0.980 | 0.965 | 0.972 | 0.026 | 0.590 | 0.990 | |
Hwee Tou Ng National University of Singapore |
0.969 | 0.968 | 0.968 | 0.026 | 0.736 | 0.975 | |
Guohong Fu Department of Linguistics, The University of Hong Kong |
0.969 | 0.966 | 0.967 | 0.026 | 0.612 | 0.979 | |
Aitao Chen Yahoo! Inc |
b | 0.971 | 0.961 | 0.966 | 0.026 | 0.512 | 0.983 |
Heng LI France Telecom R&D Beijing |
0.975 | 0.957 | 0.966 | 0.026 | 0.453 | 0.989 | |
Chen Jiajun Nanjing University |
0.959 | 0.971 | 0.965 | 0.026 | 0.785 | 0.964 | |
Aitao Chen Yahoo! Inc |
a | 0.970 | 0.957 | 0.963 | 0.026 | 0.466 | 0.984 |
Yaoyong Li Department of Computer Science, The University of Sheffield |
0.950 | 0.958 | 0.954 | 0.026 | 0.648 | 0.958 | |
DUAN Huiming institute of Computational Linguistics, Peking University |
0.925 | 0.936 | 0.930 | 0.026 | 0.617 | 0.933 | |
Zeng Hua-lin Computer Science Department, Xiamen University |
a | 0.940 | 0.917 | 0.928 | 0.026 | 0.239 | 0.959 |
ShuangLong Li Institute of Computing Technology,Chinese Academy of Sciences |
0.916 | 0.933 | 0.924 | 0.026 | 0.705 | 0.922 | |
Zeng Hua-lin Computer Science Department, Xiamen University |
c | 0.928 | 0.913 | 0.920 | 0.026 | 0.355 | 0.944 |
Zeng Hua-lin Computer Science Department, Xiamen University |
b | 0.923 | 0.914 | 0.918 | 0.026 | 0.354 | 0.938 |
wuguang shi ICL,Beijing university |
0.913 | 0.915 | 0.914 | 0.026 | 0.725 | 0.918 | |
Xiaodong SHI Xiamen University |
0.921 | 0.897 | 0.909 | 0.026 | 0.562 | 0.930 | |
Zeng Hua-lin Computer Science Department, Xiamen University |
d | 0.920 | 0.889 | 0.904 | 0.026 | 0.332 | 0.936 |
Zeng Hua-lin Computer Science Department, Xiamen University |
e | 0.900 | 0.861 | 0.880 | 0.026 | 0.309 | 0.916 |
Aitao Chen Yahoo! Inc |
c | 0.865 | 0.844 | 0.855 | 0.026 | 0.391 | 0.878 |
Thomas Keenan United States Government, Department of Defense |
0.788 | 0.818 | 0.803 | 0.026 | 0.370 | 0.800 |