Automatic rule refinement for information extraction
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[1] Jon Bentley,et al. Programming pearls: algorithm design techniques , 1984, CACM.
[2] Claire Cardie,et al. UMass/Hughes: Description of the CIRCUS System Used for MUC-51 , 1993, MUC.
[3] Jeffrey F. Naughton,et al. On the provenance of non-answers to queries over extracted data , 2008, Proc. VLDB Endow..
[4] Branimir Boguraev,et al. Annotation-based finite state processing in a large-scale NLP arhitecture , 2003, RANLP.
[5] Andrew McCallum,et al. Accurate Information Extraction from Research Papers using Conditional Random Fields , 2004, NAACL.
[6] Andrew McCallum,et al. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data , 2001, ICML.
[7] Raghu Ramakrishnan,et al. Toward best-effort information extraction , 2008, SIGMOD Conference.
[8] Sharad Mehrotra,et al. XAR: An Integrated Framework for Information Extraction , 2009, 2009 WRI World Congress on Computer Science and Information Engineering.
[9] Gustavo Alonso,et al. Perm: Processing Provenance and Data on the Same Data Model through Query Rewriting , 2009, 2009 IEEE 25th International Conference on Data Engineering.
[10] Ellen Riloff,et al. Automatically Constructing a Dictionary for Information Extraction Tasks , 1993, AAAI.
[11] Luis Gravano,et al. Join Optimization of Information Extraction Output: Quality Matters! , 2009, 2009 IEEE 25th International Conference on Data Engineering.
[12] Diana Maynard,et al. JAPE: a Java Annotation Patterns Engine , 2000 .
[13] Jeffrey F. Naughton,et al. Declarative Information Extraction Using Datalog with Embedded Extraction Predicates , 2007, VLDB.
[14] Dayne Freitag,et al. Multistrategy Learning for Information Extraction , 1998, ICML.
[15] Frederick Reiss,et al. SystemT: An Algebraic Approach to Declarative Information Extraction , 2010, ACL.
[16] Melanie Herschel,et al. Explaining missing answers to SPJUA queries , 2010, Proc. VLDB Endow..
[17] Sriram Raghavan,et al. Regular Expression Learning for Information Extraction , 2008, EMNLP.
[18] Luis Gravano,et al. Snowball: extracting relations from large plain-text collections , 2000, DL '00.
[19] Erik F. Tjong Kim Sang,et al. Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition , 2003, CoNLL.
[20] Douglas E. Appelt,et al. FASTUS: A System for Extracting Information from Text , 1993, HLT.
[21] Stephen Glenn Soderland,et al. Learning text analysis rules for domain-specific natural language processing , 1996 .
[22] Frederick Reiss,et al. An Algebraic Approach to Rule-Based Information Extraction , 2008, 2008 IEEE 24th International Conference on Data Engineering.
[23] Oren Etzioni,et al. TextRunner: Open Information Extraction on the Web , 2007, NAACL.
[24] Raymond J. Mooney,et al. Active Learning for Natural Language Parsing and Information Extraction , 1999, ICML.
[25] Adriane Chapman,et al. Why Not? , 1965, SIGMOD Conference.
[26] Divesh Srivastava,et al. I4E: interactive investigation of iterative information extraction , 2010, SIGMOD Conference.
[27] James Cheney,et al. Provenance in Databases: Why, How, and Where , 2009, Found. Trends Databases.
[28] Frederick Reiss,et al. SystemT: a system for declarative information extraction , 2009, SGMD.
[29] Ralph Grishman,et al. Extracting Relations with Integrated Information Using Kernel Methods , 2005, ACL.
[30] Douglas E. Appelt,et al. The Common Pattern Specification Language , 1998, TIPSTER.
[31] J. Patel,et al. Declarative Querying for Biological Sequences , 2006, 22nd International Conference on Data Engineering (ICDE'06).
[32] Val Tannen,et al. Provenance semirings , 2007, PODS.