{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T15:25:47Z","timestamp":1725549947468},"publisher-location":"Berlin, Heidelberg","reference-count":24,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540292449"},{"type":"electronic","value":"9783540316657"}],"license":[{"start":{"date-parts":[[2005,1,1]],"date-time":"2005-01-01T00:00:00Z","timestamp":1104537600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2005]]},"DOI":"10.1007\/11564126_24","type":"book-chapter","created":{"date-parts":[[2005,11,4]],"date-time":"2005-11-04T10:24:55Z","timestamp":1131099895000},"page":"217-227","source":"Crossref","is-referenced-by-count":1,"title":["A Systematic Comparison of Feature-Rich Probabilistic Classifiers for NER Tasks"],"prefix":"10.1007","author":[{"given":"Benjamin","family":"Rosenfeld","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Moshe","family":"Fresko","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ronen","family":"Feldman","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"24_CR1","volume-title":"15th European Conference on Artificial Intelligence","author":"J.S. Aitken","year":"2002","unstructured":"Aitken, J.S.: Learning Information Extraction Rules: An Inductive Logic Programming approach. In: 15th European Conference on Artificial Intelligence. IOS Press, Amsterdam (2002)"},{"key":"24_CR2","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1023\/A:1007558221122","volume":"34","author":"D.M. Bikel","year":"1999","unstructured":"Bikel, D.M., Schwartz, R., Weischedel, R.M.: An Algorithm that Learns What\u2019s in a Name. Machine Learning\u00a0(34), 211\u2013231 (1999)","journal-title":"Machine Learning"},{"key":"24_CR3","doi-asserted-by":"crossref","unstructured":"Chieu, H.L., Tou Ng, H.: Named Entity Recognition: A Maximum Entropy Approach Using Global Information. In: Proceedings of the 17th International Conference on Computational Linguistics (2002)","DOI":"10.3115\/1072228.1072253"},{"key":"24_CR4","unstructured":"McCallum, A., Freitag, D., Pereira, F.: Maximum Entropy Markov Models for Information Extraction and Segmentation. In: Proceedings of the 17th International Conference on Machine Learning (2000)"},{"key":"24_CR5","doi-asserted-by":"crossref","unstructured":"Sun, A., et al.: Using Support Vector Machine for Terrorism Information Extraction. In: 1st NSF\/NIJ Symposium on Intelligence and Security Informatics (2003)","DOI":"10.1007\/3-540-44853-5_1"},{"key":"24_CR6","unstructured":"Kushmerick, N., Johnston, E., McGuinness, S.: Information extraction by text classification. In: IJCAI 2001 Workshop on Adaptive Text Extraction and Mining. Seattle, WA (2001)"},{"key":"24_CR7","unstructured":"Lafferty, J., McCallum, A., Pereira, F.: Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data. In: Proc. 18th International Conf. on Machine Learning (2001)"},{"key":"24_CR8","doi-asserted-by":"crossref","unstructured":"Rosenfeld, B., Feldman, R., Fresko, M., Schler, J., Aumann, Y.: TEG - A Hybrid Approach to Information Extraction. In: Proc. of the 13th ACM (2004)","DOI":"10.1145\/1031171.1031280"},{"issue":"1","key":"24_CR9","first-page":"39","volume":"22","author":"A. Berger","year":"1996","unstructured":"Berger, A., della Pietra, S., della Pietra, V.: A maximum entropy approach to natural language processing. Computational Linguistics\u00a022(1), 39\u201371 (1996)","journal-title":"Computational Linguistics"},{"issue":"5","key":"24_CR10","doi-asserted-by":"publisher","first-page":"1470","DOI":"10.1214\/aoms\/1177692379","volume":"43","author":"J.N. Darroch","year":"1972","unstructured":"Darroch, J.N., Ratcliff, D.: Generalized iterative scaling for log-linear models. Annals of Mathematical Statistics\u00a043(5), 1470\u20131480 (1972)","journal-title":"Annals of Mathematical Statistics"},{"key":"24_CR11","unstructured":"Borthwick, A., Sterling, J., Agichtein, E., Grishman, R.: Exploiting Diverse Knowledge Sources via Maximum Entropy in Named Entity Recognition. In: The proceedings of the 6th Workshop on Very Large Corpora (1998)"},{"key":"24_CR12","unstructured":"Kim Sang, T., Erik, F., De Meulder, F.: Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition, Edmonton, Canada (2003)"},{"key":"24_CR13","doi-asserted-by":"crossref","unstructured":"Florian, R., Ittycheriah, A., Jing, H., Zhang, T.: Named Entity Recognition through Classifier Combination. In: Proceedings of CoNLL 2003, Edmonton, Canada, pp. 168\u2013171 (2003)","DOI":"10.3115\/1119176.1119201"},{"key":"24_CR14","doi-asserted-by":"crossref","unstructured":"Zhang, T., Johnson, D.: A Robust Risk Minimization based Named Entity Recognition System. In: Proceedings of CoNLL 2003, Edmonton, Canada, pp. 204\u2013207 (2003)","DOI":"10.3115\/1119176.1119210"},{"key":"24_CR15","doi-asserted-by":"crossref","unstructured":"Chieu, H.L., Tou Ng, H.: Named Entity Recognition with a Maximum Entropy Approach. In: Proceedings of CoNLL 2003, Edmonton, Canada, pp. 160\u2013163 (2003)","DOI":"10.3115\/1119176.1119199"},{"key":"24_CR16","doi-asserted-by":"crossref","unstructured":"McCallum, A., Li, W.: Early results for Named Entity Recognition with Conditional Random Fields, Feature Induction and Web-Enhanced Lexicons. In: Proceedings of CoNLL 2003, Edmonton, Canada, pp. 188\u2013191 (2003)","DOI":"10.3115\/1119176.1119206"},{"key":"24_CR17","series-title":"Dissertation","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4615-0907-3","volume-title":"Learning to Classify Text Using Support Vector Machines","author":"T. Joachims","year":"2002","unstructured":"Joachims, T.: Learning to Classify Text Using Support Vector Machines. Dissertation. Kluwer, Dordrecht (2002)"},{"key":"24_CR18","unstructured":"Nigam, K., Lafferty, J., McCallum, A.: Using maximum entropy for text classification. In: IJCAI 1999 Workshop on Machine Learning for Information, pp. 61\u201367 (1999)"},{"key":"24_CR19","doi-asserted-by":"crossref","unstructured":"Sha, F., Pereira, F.: Shallow parsing with conditional random fields, Technical Report CIS TR MS-CIS-02-35, University of Pennsylvania (2003)","DOI":"10.3115\/1073445.1073473"},{"key":"24_CR20","doi-asserted-by":"crossref","unstructured":"Zhang, T., Damerau, F., Johnson, D.: Text Chunking using Regularized Winnow. Meeting of the Association for Computational Linguistics, 539\u2013546 (2001)","DOI":"10.3115\/1073012.1073081"},{"key":"24_CR21","unstructured":"Zhang, T.: Regularized Winnow Methods. In: NIPS, pp. 703\u2013709 (2000)"},{"key":"24_CR22","unstructured":"Peng, F., McCallum, A.: Accurate Information Extraction from Research Papers Using Conditional Random Fields (1997)"},{"key":"24_CR23","unstructured":"Chinchor, N.: MUC-7 Named Entity Task Definition Dry Run Version, Version 3.5. In: Proceedings of the Seventh Message Understanding Conference (1998)"},{"key":"24_CR24","unstructured":"Borthwick, A., Sterling, J., Agichtein, E., Grishman, R.: Description of the MENE Named Entity System as Used in MUC-7. In: Proceedings of the Seventh Message Understanding Conference (1998)"}],"container-title":["Lecture Notes in Computer Science","Knowledge Discovery in Databases: PKDD 2005"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/11564126_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,19]],"date-time":"2019-05-19T17:40:31Z","timestamp":1558287631000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/11564126_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005]]},"ISBN":["9783540292449","9783540316657"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/11564126_24","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2005]]}}}