Erratum to: Large, huge or gigantic? Identifying and encoding intensity relations among adjectives in WordNet (Lang Resources & Evaluation, 10.1007/s10579-012-9212-1);Large, huge or gigantic? Identifying and encoding intensity relations among adjectives in WordNet

Language Resources and Evaluation

Volumn 47, Issue 3, 2013, Pages 797-816

  Sheinman, Vera ^a   Fellbaum, Christiane ^b   Julien, Isaac ^b   Schulam, Peter ^b   Tokunaga, Takenobu ^a  

^a TOKYO INSTITUTE OF TECHNOLOGY   (Japan)

^b Princeton University   (United States)

Author keywords

Gradable adjectives; Intensity relation; Scales; WordNet

Indexed keywords

EID: 84883450942     PISSN: 1574020X     EISSN: 15728412     Source Type: Journal    
DOI: 10.1007/s10579-013-9235-2     Document Type: Erratum

References (41)

1. Bierwisch, M. (1989). The semantics of gradation. In M. Bierwisch and E. Lang (Eds.), Dimensional adjectives (pp. 71-261). Berlin: Springer.
2. Chklovski, T., and Pantel, P. (2004). Verbocean: Mining the web for fine-grained semantic verb relations. In Proceedings of the Conference on empirical methods in natural language processing (EMNLP-04), Barcelona, Spain, pp. 33-40.
3. Church, K., and Hanks, P. (1988). Word association norms, mutual information and lexicography. Computational Linguistics, 16, 1-8.
4. Clark, P., Murray, W. R., Thompson, J., Harrison, P., Hobbs, J., and Fellbaum, C. (2007). On the role of lexical and world knowledge in rte3. In Proceedings of the ACL-PASCAL workshop on textual entailment and paraphrasing, association for computational linguistics, Stroudsburg, PA, USA, RTE '07, pp. 54-59.
5. Clark, P., Fellbaum, C., Hobbs, J., Harrison, P., Murray, W., and Thompson, J. (2008). Augmenting wordnet for deep understanding of text. In Proceedings of the 2008 conference on semantics in text processing, association for computational linguistics, Stroudsburg, PA, USA, STEP '08, pp. 45-57.
6. Collins, A. M., and Quillian, M. R. (1969). Retrieval time from semantic memory. Journal of Verbal Learning and Verbal Behavior, 8, 240-247.
7. Cruse, D. A. (1986). Lexical semantics. New York: Cambridge University Press.
8. Davidov, D., and Rappoport, A. (2008). Unsupervised discovery of generic relationships using pattern clusters and its evaluation by automatically generated SAT analogy questions. In Proceedings of the ACL-08, HLT, association for computational linguistics, Columbus, Ohio, pp. 692-700.
9. Deese, J. (1964). The associative structure of some common english adjectives. Journal of Verbal Learning and Verbal Behavior, 3(5), 347-357.
10. Edmonds, P. (1999). Semantic representation of near-synonyms for automatic lexical choice. PhD thesis, University of Toronto.
11. Esuli, A. E. A., and Sebastiani, F. (2006). Sentiwordnet: A publicly available lexical resource for opinion mining. In Proceedings of the LREC-06, 5th conference on language resources and evaluation, Genova, IT, pp. 417-422.
12. Fellbaum, C. (1998). WordNet: An electronic lexical database. MIT Press: Cambridge.
13. Fellbaum, C. (2002). Parallel hierarchies in the verb lexicon. In K. Simov (Ed.), Proceedings of the Ontolex02 workshop on ontologies and lexical knowledge bases (pp. 27-31). Paris: ELRA.
14. Fellbaum, C., Gross, D., and Miller, K. (1993). Adjectives in wordnet. In G. A. Miller, C. Fellbaum and K. J. Miller (Eds.), Five papers on WordNet. Princeton University, Cognitive Science Laboratory, Princeton, USA. http://wordnetcode.princeton.edu/5papers.pdf
15. Fellbaum, C., Clark, P., and Hobbs, J. (2008). Towards improved text understanding with wordnet. In A. Storrer, A. Geyken, A. Siebert and K. M. Würzner (Eds.), Text resources and lexical knowledge. Berlin: Mouton de Gruyter.
16. Gross, D., Fischer, U., and Miller, G. A. (1989). Antonyms and the representation of adjectival meanings. Journal of Memory and Language, 28(1), 92-106.
17. Hamp, B., and Feldweg, H. (1997). Germanet-a lexical-semantic net for german. In Proceedings of the ACL workshop automatic information extraction and building of lexical semantic resources for NLP Applications, pp. 9-15.
18. Hartung, M., and Frank, A. (2010). A structured vector space model for hidden attribute meaning in adjective-noun phrases. In Proceedings of the 23rd international conference on computational linguistics.
19. Hatzivassiloglou, V., and McKeown, K. R. (1993). Towards the automatic identification of adjectival scales: Clustering adjectives according to meaning. In Proceedings of the 31st annual meeting on association for computational linguistics, ACL, association for computational linguistics, Morris-town, NJ, USA, pp. 172-182.
20. Hatzivassiloglou, V., and McKeown, K. R. (1997). Predicting the semantic orientation of adjectives. In Proceedings of the Eighth conference on European chapter of the association for computational linguistics (ACL-97), pp. 174-181.
21. Hearst, M. (1992). Automatic acquisition of hyponyms from large text corpora. In Proceedings of the 14th conference on computational linguistics (COLING-92), pp. 539-545.
22. Inkpen, D., and Hirst, G. (2006). Building and using a lexical knowledge base of near-synonym differences. Computational Linguistics, 32(2), 223-262.
23. Jindal, N., and Liu, B. (2008). Opinion spam and analysis. In Proceedings of the international conference on Web search and web data mining, ACM, New York, NY, USA, WSDM '08, pp. 219-230.
24. Julien, I. (2010). Linguistic analysis with adjscales as a tool for predicting spam product reviews. Tech. rep., Department of Computer Science. Princeton University.
25. Julien, I. (2011). Automatically determining implications between adjectives. Tech. rep., Department of Computer Science. Princeton University.
26. Justeson, J. S., and Katz, S. M. (1991). Co-occurrences of antonymous adjectives and their contexts. Computational Linguistics, 17, 1-19.
27. Kennedy, C. (2001). Polar opposition and the ontology of degrees. Linguistics and Philosophy, 24, 33-70.
28. Kilgarriff, A. (2007). Googleology is bad science. Computational Linguistics, 33(1), 147-151.
29. Lin, D. (1998). Automatic retrieval and clustering of similar words. In Proceedings of the 17th international conference on computational linguistics, association for computational linguistics, Morristown, NJ, USA (Vol. 2), pp. 768-774.
30. Miller, G. A. (1995). Wordnet: A lexical database for english. ACM, 38(11), 39-41.
31. Moss, H., and Older, L. (1996). Word association norms. Hove, U. K.: Psychology Press.
32. Patwardhan, S., Banerjeev, S., and Pedersen, T. (2005). Senserelate:: target word-a generalized framework for word sense disambiguation. In Proceedings of the twentieth national conference on artificial intelligence.
33. Riloff, E., and Jones, R. (1999). Learning dictionaries for information extraction by multi-level bootstrapping. In Proceedings of the 16th national conference on artificial intelligence (AAAI-99).
34. Schulam, P. (2011). Scle: A system for automatically comparing gradable adjectives, senior Thesis.
35. Schulam, P. F., and Fellbaum, C. (2010). Automatically determining the semantic gradation of german adjectives. In Semantic Approaches to Natural Language Proceedings, Saarbruecken, Germany, p. 163.
36. Sheinman, V., and Tokunaga, T. (2009a). Adjscales: Differentiating between similar adjectives for language learners. In Proceedings of the International conference on computer supported education (CSEDU-09).
37. Sheinman, V., and Tokunaga, T. (2009b). Adjscales: Visualizing differences between adjectives for language learners. IEICE Transactions on Information and Systems, E92-D(8), 1542-1550.
38. Snow, R., Jurafsky, D., and Ng, A. (2005). Learning syntactic patterns for automatic hypernym discovery. Advances in neural information processing systems, 17, 1297-1304.
39. Turney, P. D. (2008). A uniform approach to analogies, synonyms, antonyms, and associations. In Proceedings of the 22nd international conference on computational linguistics (Coling 2008), Manchester, UK.
40. Weeds, J., and Weir, D. (2005). Co-occurrence retrieval: A flexible framework for lexical distributional similarity. Computational Linguistics, 31(4), 439-475.
41. Wilks, Y., and Brewster, C. (2009). Natural language processing as a foundation of the semantic Web. Hanover: Now Publishers Inc.