Information Technology Reference
In-Depth Information
fundamental NLP tasks, such as named entity recognition. Lastly, since current
FBA still needs some personel involvement for frame pattern generation, we are
in an attempt to develop an unsupervised frame pattern generation mechanism
through data mining and/or clustering techniques in order to construct a fully
automatic FBA approach.
Acknowledgments. This study is conducted under the “NSC 102-3114-Y-
307-026 A Research on Social Influence and Decision Support Analytics” of the
Institute for Information Industry which is subsidized by the National Science
Council.
References
1. Agichtein, E., Ganti, V.: Mining reference tables for automatic text segmentation.
In: Proceedings of the ACM SIGKDD International Conference on Knowledge
Discovery and Data Mining, pp. 20-29 (2004)
2. Chen, C.C., Yang, K.H., Chen, C.L., Ho, J.M.: BibPro: A citation parser based on
sequence alignment. IEEE Transactions on Knowledge and Data Engineering 24(2),
236-250 (2012)
3. Chowdhury, G.: Template mining for information extraction from digital
documents. Library Trends 48, 182-208 (1999)
4. Cortez, E., da Silva, A.S., Goncalves, M.A., Mesquita, F., de Moura, E.S.: FLUX-
CiM: Flexible unsupervised extraction of citation metadata. In: Proceedings of the
Seventh ACM/IEEE-CS Joint Conf. Digital Libraries, pp. 215-224 (2007)
5. Day, M.Y., Tsai, T.H., Sung, C.L., Hsieh, C.C., Lee, C.W., Wu, S.H., Wu, K.P.,
Ong, C.S., Hsu, W.L.: Reference metadata extraction using a hierarchical knowl-
edge representation framework. Decision Support Systems 43, 152-167 (2007)
6. Ding, Y., Chowdhury, G., Foo, S.: Template mining for the extraction of cita-
tion from digital documents. In: Proceedings of the Second Asian Digital Library
Conference, pp. 47-62 (1999)
7. Giles, C.L., Bollacker, K.D., Lawrence, S.: CiteSeer: An automatic citation index-
ing system. In: Proceedings of the Third ACM Conference on Digital Libraries,
pp. 89-98 (1998)
8. Han, H.C., Giles, L., Manavoglu, E., Zha, H., Zhang, Z., Fox, E.A.: Automatic
document metadata extraction using support vector machines. In: Proceedings of
the Third ACM/IEEE-CS Joint Conference on Digital libraries, pp. 37-48 (2003)
9. Mitchell, T.M.: Machine Learning. McGraw-Hill, Inc. (1997)
10. Peng, F., McCallum, A.: Accurate information extraction from research papers us-
ing conditional random fields. In: Proceedings of the Human Language Technology
Conference and North American Chapter of the Association for Computational
Linguistics (HLT-NAACL), pp. 320-336 (2004)
11. Seymore, K., McCallum, A., Rosenfeld, R.: Learning hidden markov model struc-
ture for information extraction. In: Proceedings of the AAAI-99 Workshop on Ma-
chine Learning for Information Extraction, pp. 37-42 (1999)
12. Wu, S.H., Tsai, T.H., Hsu, W.L.: Domain event extraction and representation with
domain ontology. In: Proceedings of the IJCAI 2003 Workshop on Information
Integration on the Web, Acapulco, Mexico (2003)
Search WWH ::




Custom Search