GlossBoot: Bootstrapping multilingual domain glossaries from the Web

ACL 2013 - 51st Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference

Volumn 1, Issue , 2013, Pages 528-538

  De Benedictis, Flavio ^a   Faralli, Stefano ^a   Navigli, Roberto ^a  

^a SAPIENZA UNIVERSITY OF ROME   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS;

EXTRACTION PATTERNS; TARGET DOMAIN;

GLOSSARIES;

EID: 84907300399     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (31)

1. Eugene Agichtein and Luis Gravano. 2000. Snowball: extracting relations from large plain-text collections. In Proceedings of the 5th ACM conference on Digital Libraries, pages 85-94, San Antonio, Texas, USA.
2. Sergey Brin. 1998. Extracting patterns and relations from the World Wide Web. In Proceedings of the International Workshop on The World Wide Web and Databases, pages 172-183, London, UK.
3. Michael J. Cafarella, Doug Downey, Stephen Soderland, and Oren Etzioni. 2005. KnowItNow: Fast, scalable information extraction from the web. In Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, pages 563-570, Vancouver, British Columbia, Canada.
4. Hang Cui, Min-Yen Kan, and Tat-Seng Chua. 2007. Soft pattern matching models for definitional question answering. ACM Transactions on Information Systems, 25(2):1-30.
5. Weisi Duan and Alexander Yates. 2010. Extracting glosses to disambiguate word senses. In Proceedings of Human Language Technologies: The 11th Annual Conference of the North American Chapter of the Association for Computational Linguistics, pages 627-635, Los Angeles, CA, USA.
6. Stefano Faralli and Roberto Navigli. 2012. A New Minimally-supervised Framework for Domain Word Sense Disambiguation. In Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, pages 1411-1422, Jeju, Korea.
7. Atsushi Fujii and Tetsuya Ishikawa. 2000. Utilizing the World Wide Web as an encyclopedia: extracting term descriptions from semi-structured texts. In Proceedings of the 38th Annual Meeting on Association for Computational Linguistics, pages 488-495, Hong Kong.
8. Marti A. Hearst. 1992. Automatic acquisition of hyponyms from large text corpora. In Proceedings of the 15th International Conference on Computational Linguistics, pages 539-545, Nantes, France.
9. Eduard H. Hovy, Roberto Navigli, and Simone Paolo Ponzetto. 2013. Collaboratively built semistructured content and Artificial Intelligence: The story so far. Artificial Intelligence, 194:2-27.
10. Ruihong Huang and Ellen Riloff. 2010. Inducing domain-specific semantic class taggers from (almost) nothing. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pages 275-285, Uppsala, Sweden.
11. Su Nam Kim, Timothy Baldwin, and Min-Yen Kan. 2009. An unsupervised approach to domain-specific term extraction. In Proceedings of the Australasian Language Technology Workshop, pages 94-98, Sydney, Australia.
12. Judith Klavans and Smaranda Muresan. 2001. Evaluation of the DEFINDER system for fully automatic glossary construction. In Proceedings of the American Medical Informatics Association (AMIA) Symposium, pages 324-328, Washington, D. C., USA.
13. Zornitsa Kozareva and Eduard Hovy. 2010a. A semi-supervised method to learn and construct taxonomies using the Web. In Proceedings of Empirical Methods in Natural Language Processing, pages 1110-1118, Cambridge, MA, USA.
14. Zornitsa Kozareva and Eduard H. Hovy. 2010b. Not all seeds are equal: Measuring the quality of text mining seeds. In Proceedings of Human Language Technologies: The 11th Annual Conference of the North American Chapter of the Association for Computational Linguistics, pages 618-626, Los Angeles, California, USA.
15. Zornitsa Kozareva, Ellen Riloff, and Eduard Hovy. 2008. Semantic class learning from the Web with hyponym pattern linkage graphs. In Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics, pages 1048-1056, Columbus, Ohio, USA.
16. Tara McIntosh and James R. Curran. 2008. Weighted mutual exclusion bootstrapping for domain independent lexicon and template acquisition. In Proceedings of the Australasian Language Technology Association Workshop, pages 97-105, CSIRO ICT Centre, Tasmania.
17. Tara McIntosh and James R. Curran. 2009. Reducing semantic drift with bagging and distributional similarity. In Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP, pages 396-404, Suntec, Singapore.
18. Roberto Navigli and Simone Paolo Ponzetto. 2012. BabelNet: The automatic construction, evaluation and application of a wide-coverage multilingual semantic network. Artificial Intelligence, 193:217-250.
19. Roberto Navigli and Paola Velardi. 2010. Learning Word-Class Lattices for definition and hypernym extraction. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pages 1318-1327, Uppsala, Sweden.
20. Roberto Navigli, Paola Velardi, and Stefano Faralli. 2011. A graph-based algorithm for inducing lexical taxonomies from scratch. In Proceedings of the 22th International Joint Conference on Artificial Intelligence, pages 1872-1877, Barcelona, Spain.
21. Marius Paşca, Dekang Lin, Jeffrey Bigham, Andrei Lifchits, and Alpa Jain. 2006. Names and similarities on the web: Fact extraction in the fast lane. In Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, pages 809-816, Sydney, Australia.
22. Patrick Pantel and Marco Pennacchiotti. 2006. Espresso: Leveraging Generic Patterns for Automatically Harvesting Semantic Relations. In Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics (COLING-ACL), Sydney, Australia, pages 113-120, Sydney, Australia.
23. Youngja Park, Roy J. Byrd, and Branimir K. Boguraev. 2002. Automatic glossary extraction: beyond terminology identification. In Proceedings of the 19th International Conference on Computational Linguistics, pages 1-7, Taipei, Taiwan.
24. Deepak Ravichandran and Eduard Hovy. 2002. Learning surface text patterns for a question answering system. In Proceedings of the 40th Annual Meeting on Association for Computational Linguistics, pages 41-47, 9Philadelphia, Pennsylvania.
25. Melanie Reiplinger, Ulrich Schäfer, and Magdalena Wolska. 2012. Extracting glossary sentences from scholarly articles: A comparative evaluation of pattern bootstrapping and deep analysis. In Proceedings of the ACL-2012 Special Workshop on Rediscovering 50 Years of Discoveries, pages 55-65, Jeju Island, Korea.
26. Ellen Riloff and Rosie Jones. 1999. Learning dictionaries for information extraction by multi-level bootstrapping. In Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference, pages 474-479, Menlo Park, CA, USA.
27. Horacio Saggion. 2004. Identifying definitions in text collections for question answering. In Proceedings of the Fourth International Conference on Language Resources and Evaluation, pages 1927-1930, Lisbon, Portugal.
28. Michael Thelen and Ellen Riloff. 2002. A bootstrapping method for learning semantic lexicons using extraction pattern contexts. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, pages 214-221, Salt Lake City, UT, USA.
29. Paola Velardi, Roberto Navigli, and Pierluigi D'Amadio. 2008. Mining the Web to create specialized glossaries. IEEE Intelligent Systems, 23(5):18-25.
30. Paola Velardi, Stefano Faralli, and Roberto Navigli. 2013. OntoLearn Reloaded: A graph-based algorithm for taxonomy induction. Computational Linguistics, 39 (3).
31. rd Annual Meeting of the Association for Computational Linguistics, pages 189-196, Cambridge, MA, USA.