Taxonomy construction using syntactic contextual evidence

EMNLP 2014 - 2014 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference

Volumn , Issue , 2014, Pages 810-819

  Tuan, Luu Anh ^a   Kim, Jung Jae ^a   Kiong, Ng See ^b  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; GRAPHIC METHODS; NATURAL LANGUAGE PROCESSING SYSTEMS; PATTERN MATCHING; SEMANTICS; TAXONOMIES;

CONTEXTUAL ANALYSIS; CONTEXTUAL INFORMATION; GRAPH-BASED ALGORITHMS; LINGUISTIC PATTERNS; SEMANTIC KNOWLEDGE; SUBSUMPTION RELATION; SYNTACTIC STRUCTURE; TAXONOMIC STRUCTURE;

SYNTACTICS;

EID: 84926030566     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (23)

1. K. Bollacker, C. Evans, P. Paritosh, T. Sturge and J. Taylor. 2008. Freebase: A collaboratively created graph database for structuring human knowledge. In proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 1247-1250.
2. A. Budanitsky. 1999. Lexical semantic relatedness and its application in natural language processing. Technical Report CSRG-390, Computer Systems Research Group, University of Toronto.
3. P. Buitelaar, D. Olejnik and M. Sintek. 2004. A Protege Plug-in for Ontology Extraction from Text Based on Linguistic Analysis. In proceedings of the 1st European Semantic Web Symposium, pp. 31-44.
4. M. Ciaramita, A. Gangemi, E. Ratsch, J. Saric and I. Rojas. 2005. Unsupervised Learning of Semantic Relations Between Concepts of a Molecular Biology Ontology. In proceedings of the 19th International Joint Conference on Artificial Intelligence, pp. 659- 664.
5. J. Edmonds. 1967. Optimum branchings. Journal of Research of the National Bureau of Standards, 71, pp. 233-240.
6. S. Fodeh, B. Punch and P. N. Tan. 2011. On Ontologydriven Document Clustering Using Core Semantic Features. Knowledge and information systems, 28(2), pp. 395-421.
7. H. N. Fotzo and P. Gallinari. 2004. Learning "Generalization/Specialization" Relations between Concepts - Application for Automatically Building Thematic Document Hierarchies. In proceedings of the 7th International Conference on Computer-Assisted Information Retrieval.
8. M. Geffet and I. Dagan. 2005. The Distributional Inclusion Hypotheses and Lexical Entailment. In proceedings of the 43rd Annual Meeting of the ACL, pp. 107-114.
9. R. Girju, A. Badulescu, and D. Moldovan. 2003. Learning Semantic Constraints for the Automatic Discovery of Part-Whole Relations. In proceedings of the NAACL, pp. 1-8.
10. S. M. Harabagiu, S. J. Maiorano and M. A. Pasca. 2003. Open-Domain Textual Question Answering Techniques. Natural Language Engineering, 9(3): pp. 1-38.
11. M. A. Hearst. 1992. Automatic Acquisition of Hyponyms from Large Text Corpora. In proceedings of the 14th Conference on Computational Linguistics, pp. 539-545.
12. D. Klein and C. D. Manning. 2003. Accurate Unlexicalized Parsing. In proceedings of the 41st Annual Meeting of the ACL, pp. 423-430.
13. Z. Kozareva, E. Riloff, and E. H. Hovy. 2008. Semantic Class Learning from the Web with Hyponym Pattern Linkage Graphs. In proceedings of the 46th Annual Meeting of the ACL, pp. 1048-1056.
14. Z. Kozareva and E. Hovy. 2010. A Semi-supervised Method to Learn and Construct Taxonomies Using the Web. In proceedings of the Conference on Empirical Methods in Natural Language Processing, pp. 1110-1118.
15. C. Matuszek, J. Cabral, M. J. Witbrock and J. DeOliveira. 2006. An Introduction to the Syntax and Content of Cyc. In proceedings of the AAAI Spring Symposium: Formalizing and Compiling Background Knowledge and Its Applications to Knowledge Representation and Question Answering, pp. 44-49.
16. G. A. Miller. 1995. WordNet: A Lexical Database for English. Communications of the ACM, 38(11), pp. 39-41.
17. R. Navigli and P. Velardi, 2004. Learning Domain Ontologies from Document Warehouses and Dedicated Web Sites. Computational Linguistics, 30(2), pp. 151-179.
18. R. Navigli, P. Velardi and S. Faralli. 2011. A Graphbased Algorithm for Inducing Lexical Taxonomies from Scratch. In proceedings of the 20th International Joint Conference on Artificial Intelligence, pp. 1872-1877.
19. R. Snow, D. Jurafsky and A. Y. Ng. 2006. Semantic Taxonomy Induction from Heterogenous Evidence. In proceedings of the 21st International Conference on Computational Linguistics, pp. 801-808.
20. P. Velardi, S. Faralli and R. Navigli. 2012. Ontolearn Reloaded: A Graph-based Algorithm for Taxonomy Induction. Computational Linguistics, 39(3), pp. 665-707.
21. W. Wentao, L. Hongsong, W. Haixun, and Q. Zhu. 2012. Probase: A probabilistic taxonomy for text understanding. In proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 481-492.
22. D. Widdows and B. Dorow. 2002. A Graph Model for Unsupervised Lexical Acquisition. In proceedings of the 19th International Conference on Computational Linguistics, pp. 1-7.
23. W. Wong, W. Liu and M. Bennamoun. 2007. Treetraversing ant algorithm for term clustering based on featureless similarities. Data Mining and Knowledge Discovery, 15(3), pp. 349-381.