-
2
-
-
84947764450
-
A trainable message understanding system
-
A. Bagga and J. Y. Chai. A trainable message understanding system. In CoNLL, pages 1-8. 1997.
-
(1997)
CoNLL
, pp. 1-8
-
-
Bagga, A.1
Chai, J.Y.2
-
5
-
-
2342598419
-
Bottom-up relational learning of pattern matching rules for information extraction
-
M. E. Califf and R. J. Mooney. Bottom-up relational learning of pattern matching rules for information extraction. Journal of Machine Learning Research, 4:177-210, 2003.
-
(2003)
Journal of Machine Learning Research
, vol.4
, pp. 177-210
-
-
Califf, M.E.1
Mooney, R.J.2
-
7
-
-
62749126138
-
The use of word sense disambiguation in an information extraction system
-
J. Y. Chai and A. W. Biermann. The use of word sense disambiguation in an information extraction system. In AAAI/IAAI, 1999.
-
(1999)
AAAI/IAAI
-
-
Chai, J.Y.1
Biermann, A.W.2
-
11
-
-
10244272212
-
Automatic template creation for information extraction, an overview
-
Technical report, University of Sheffield
-
R. Collier. Automatic template creation for information extraction, an overview. Technical report, University of Sheffield, 1996.
-
(1996)
-
-
Collier, R.1
-
13
-
-
79960267826
-
From text to Horn clauses: Combining linguistic analysis and machine learning
-
S. Delisle, K. Barker, J.-F. Delannoy, S. Matwin, and S. Szpakowicz. From text to Horn clauses: Combining linguistic analysis and machine learning. In 10th Canadian AI Conf., 1994.
-
(1994)
10th Canadian AI Conf
-
-
Delisle, S.1
Barker, K.2
Delannoy, J.-F.3
Matwin, S.4
Szpakowicz, S.5
-
14
-
-
36849079701
-
-
L. Eikvil. Information extraction from World Wide Web - A survey. Technical Report 945, Norwegian Computing Center, 1999.
-
L. Eikvil. Information extraction from World Wide Web - A survey. Technical Report 945, Norwegian Computing Center, 1999.
-
-
-
-
15
-
-
84883550411
-
Ontology-based extraction and structuring of information from data-rich unstructured documents
-
D. W. Embley, D. M. Campbell, R. D. Smith, and S. W. Liddl. Ontology-based extraction and structuring of information from data-rich unstructured documents. In Conference on Information and Knowledge Management (CIKM), pages 52-59, 1998.
-
(1998)
Conference on Information and Knowledge Management (CIKM)
, pp. 52-59
-
-
Embley, D.W.1
Campbell, D.M.2
Smith, R.D.3
Liddl, S.W.4
-
16
-
-
0004289791
-
-
C. Fellbaum, editor, MIT Press, Cambridge, MA
-
C. Fellbaum, editor. WordNet: An Electronic Lexical Database. MIT Press, Cambridge, MA, 1998.
-
(1998)
WordNet: An Electronic Lexical Database
-
-
-
17
-
-
0032119668
-
The hierarchical hidden Markov model: Analysis and applications
-
S. Fine, Y. Singer, and N. Tishby. The hierarchical hidden Markov model: Analysis and applications. Machine Learning, 32(1):41-62, 1998.
-
(1998)
Machine Learning
, vol.32
, Issue.1
, pp. 41-62
-
-
Fine, S.1
Singer, Y.2
Tishby, N.3
-
19
-
-
22944473332
-
Multi-level boundary classification for information extraction
-
A. Finn and N. Kushmerick. Multi-level boundary classification for information extraction. In ECML 2004, pages 111-122, 2004.
-
(2004)
ECML 2004
, pp. 111-122
-
-
Finn, A.1
Kushmerick, N.2
-
21
-
-
85149129374
-
Toward general-purpose learning for information extraction
-
C. Boitet and P. Whitelock, editors, San Francisco, CA
-
D. Freitag. Toward general-purpose learning for information extraction. In C. Boitet and P. Whitelock, editors, Proc. 36th Annual Meeting of the Association for Computational Linguistics, pages 404-408, San Francisco, CA, 1998.
-
(1998)
Proc. 36th Annual Meeting of the Association for Computational Linguistics
, pp. 404-408
-
-
Freitag, D.1
-
22
-
-
84905866214
-
Boosted wrapper induction
-
D. Freitag and N. Kushmerick. Boosted wrapper induction. In AAAI/IAAI, pages 577-583, 2000.
-
(2000)
AAAI/IAAI
, pp. 577-583
-
-
Freitag, D.1
Kushmerick, N.2
-
24
-
-
84943738891
-
Information extraction with HMM structures learned by stochastic optimization
-
D. Freitag and A. K. McCallum. Information extraction with HMM structures learned by stochastic optimization. In AAAI/IAAI, pages 584-589, 2000.
-
(2000)
AAAI/IAAI
, pp. 584-589
-
-
Freitag, D.1
McCallum, A.K.2
-
25
-
-
0033075882
-
Separate-and-conquer rule learning
-
J. Fürnkranz. Separate-and-conquer rule learning. Artificial Intelligence Review, 13(1):3-54, 1999.
-
(1999)
Artificial Intelligence Review
, vol.13
, Issue.1
, pp. 3-54
-
-
Fürnkranz, J.1
-
27
-
-
36849094302
-
-
D. Kauchak, J. Smarr, and C. Elkan. Sources of success for information extraction methods. Technical Report CS2002-0696, UC San Diego, 2002.
-
D. Kauchak, J. Smarr, and C. Elkan. Sources of success for information extraction methods. Technical Report CS2002-0696, UC San Diego, 2002.
-
-
-
-
28
-
-
0142192295
-
Conditional random fields: Probabilistic models for segmenting and labeling sequence data
-
J. Lafferty, A. K. McCallum, and F. Pereira. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In ICML, 2001.
-
(2001)
ICML
-
-
Lafferty, J.1
McCallum, A.K.2
Pereira, F.3
-
29
-
-
36849004803
-
A critical survey of the methodology for IE evaluation
-
A. Lavelli, M. Califf, F. Ciravegna, D. Freitag, C. Giuliano, N. Kushmerick, and L. Romano. A critical survey of the methodology for IE evaluation. In Proceedings of the 4th International Conference on Language Resources and Evaluation (LREC 2004), 2004.
-
(2004)
Proceedings of the 4th International Conference on Language Resources and Evaluation (LREC 2004)
-
-
Lavelli, A.1
Califf, M.2
Ciravegna, F.3
Freitag, D.4
Giuliano, C.5
Kushmerick, N.6
Romano, L.7
-
30
-
-
32144458960
-
IE evaluation: Criticisms and recommendations
-
San Jose, USA
-
A. Lavelli, M.-E. Califf, F. Ciravegna, D. Freitag, C. Giuliano, N. Kushmerick, and L. Romano. IE evaluation: Criticisms and recommendations. In AAAI-2004 Workshop on Adaptive Text Extraction and Mining, San Jose, USA, 2004.
-
(2004)
AAAI-2004 Workshop on Adaptive Text Extraction and Mining
-
-
Lavelli, A.1
Califf, M.-E.2
Ciravegna, F.3
Freitag, D.4
Giuliano, C.5
Kushmerick, N.6
Romano, L.7
-
31
-
-
34250091945
-
Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm
-
N. Littlestone. Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm. Machine Learning, 2:285-318, 1988.
-
(1988)
Machine Learning
, vol.2
, pp. 285-318
-
-
Littlestone, N.1
-
33
-
-
0000747663
-
Maximum entropy Markov models for information extraction and segmentation
-
A. K. McCallum, D. Freitag, and F. Pereira. Maximum entropy Markov models for information extraction and segmentation. In ICML, 2000.
-
(2000)
ICML
-
-
McCallum, A.K.1
Freitag, D.2
Pereira, F.3
-
35
-
-
85120485377
-
Algorithms that learn to extract information-BBN: Description of the SIFT system as used for MUC
-
and the Annotation Group
-
S. Miller, M. Crystal, H. Fox, L. Ramshaw, R. Schwartz, R. Stone, R. Weischedel, and the Annotation Group. Algorithms that learn to extract information-BBN: Description of the SIFT system as used for MUC. In MUC-7, 1998.
-
(1998)
MUC-7
-
-
Miller, S.1
Crystal, M.2
Fox, H.3
Ramshaw, L.4
Schwartz, R.5
Stone, R.6
Weischedel, R.7
-
36
-
-
85048535737
-
A novel use of statistical parsing to extract information from text
-
S. Miller, H. Fox, L. Ramshaw, and R. Weischedel. A novel use of statistical parsing to extract information from text. In ANLP-NAACL, pages 226-233, 2000.
-
(2000)
ANLP-NAACL
, pp. 226-233
-
-
Miller, S.1
Fox, H.2
Ramshaw, L.3
Weischedel, R.4
-
37
-
-
0035587215
-
Hierarchical wrapper induction for semistructured information sources
-
I. Muslea, S. Minton, and C. A. Knoblock. Hierarchical wrapper induction for semistructured information sources. Autonomous Agents and Multi-Agent Systems, 4(1/2):93-114, 2001.
-
(2001)
Autonomous Agents and Multi-Agent Systems
, vol.4
, Issue.1-2
, pp. 93-114
-
-
Muslea, I.1
Minton, S.2
Knoblock, C.A.3
-
41
-
-
33947709854
-
Bayesian information extraction network
-
L. Peshkin and A. Pfeffer. Bayesian information extraction network. In IJCAI, 2003.
-
(2003)
IJCAI
-
-
Peshkin, L.1
Pfeffer, A.2
-
42
-
-
0000431236
-
Induction of logic programs: FOIL and related systems
-
13(3,4):287-312
-
J. R. Quinlan and R. M. Cameron-Jones. Induction of logic programs: FOIL and related systems. New Generation Computing, 13(3,4):287-312, 1995.
-
(1995)
New Generation Computing
-
-
Quinlan, J.R.1
Cameron-Jones, R.M.2
-
45
-
-
84858511409
-
-
RISE repository. http://www.isi.edu/info-agents/RISE/.
-
RISE repository
-
-
-
46
-
-
84880912564
-
Relational learning via propositional algorithms: An information extraction case study
-
D. Roth and W.-t. Yih. Relational learning via propositional algorithms: An information extraction case study. In IJCAI, 2001.
-
(2001)
IJCAI
-
-
Roth, D.1
Yih, W.-T.2
-
47
-
-
33645986276
-
Probabilistic reasoning for entity & relation recognition
-
D. Roth and W.-t. Yih. Probabilistic reasoning for entity & relation recognition. In COLING'02, 2002.
-
(2002)
COLING'02
-
-
Roth, D.1
Yih, W.-T.2
-
49
-
-
24344488867
-
Learning hidden Markov models for information extraction actively from partially labeled text
-
T. Scheffer, S. Wrobel, B. Popov, D. Ognianov, C. Decomain, and S. Hoche. Learning hidden Markov models for information extraction actively from partially labeled text. Künstliche Intelligenz, (2), 2002.
-
(2002)
Künstliche Intelligenz
, vol.2
-
-
Scheffer, T.1
Wrobel, S.2
Popov, B.3
Ognianov, D.4
Decomain, C.5
Hoche, S.6
-
50
-
-
24344471378
-
Incremental information extraction using tree-based context representations
-
A. Gelbukh, editor, Sixth International Conference on Intelligent Text Processing and Computational Linguistics CICLing 2005, Springer
-
C. Siefkes. Incremental information extraction using tree-based context representations. In A. Gelbukh, editor, Sixth International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2005), Lecture Notes in Computer Science, pages 510-521. Springer, 2005.
-
(2005)
Lecture Notes in Computer Science
, pp. 510-521
-
-
Siefkes, C.1
-
51
-
-
84880805498
-
Hierarchical hidden Markov models for information extraction
-
M. Skounakis, M. Craven, and S. Ray. Hierarchical hidden Markov models for information extraction. In IJCAI, 2003.
-
(2003)
IJCAI
-
-
Skounakis, M.1
Craven, M.2
Ray, S.3
-
54
-
-
0032624184
-
Learning information extraction rules for semi-structured and free text
-
S. Soderland. Learning information extraction rules for semi-structured and free text. Machine Learning, 34(1-3):233-272, 1999.
-
(1999)
Machine Learning
, vol.34
, Issue.1-3
, pp. 233-272
-
-
Soderland, S.1
-
56
-
-
85168119478
-
CRYSTAL: Inducing a conceptual dictionary
-
C. Mellish, editor, San Francisco
-
S. Soderland, D. Fisher, J. Aseltine, and W. Lehnert. CRYSTAL: Inducing a conceptual dictionary. In C. Mellish, editor, Proc. 14th International Joint Conference on Artificial Intelligence, pages 1314-1319, San Francisco, 1995.
-
(1995)
Proc. 14th International Joint Conference on Artificial Intelligence
, pp. 1314-1319
-
-
Soderland, S.1
Fisher, D.2
Aseltine, J.3
Lehnert, W.4
-
57
-
-
36849085772
-
-
K. Sudo, S. Sekine, and R. Grishman. Automatic pattern acquisition for Japanese information extraction. In HLT2001, 2001.
-
K. Sudo, S. Sekine, and R. Grishman. Automatic pattern acquisition for Japanese information extraction. In HLT2001, 2001.
-
-
-
-
59
-
-
36849038782
-
-
J. Zavrel and W. Daelemans. Feature-rich memory-based classification for shallow NLP and information extraction. In J. Franke, G. Nakhaeizadeh, and I. Renz, editors, Text Mining, Theoretical Aspects and Applications, pages 33-54. Springer Physica, 2003.
-
J. Zavrel and W. Daelemans. Feature-rich memory-based classification for shallow NLP and information extraction. In J. Franke, G. Nakhaeizadeh, and I. Renz, editors, Text Mining, Theoretical Aspects and Applications, pages 33-54. Springer Physica, 2003.
-
-
-
|