Checking and bootstrapping lexical norms by means of word similarity indexes

Behavior Research Methods

Volumn 44, Issue 4, 2012, Pages 998-1006

  Bestgen, Yves ^a   Vincze, Nadja ^a  

^a UNIVERSITÉ CATHOLIQUE DE LOUVAIN   (Belgium)

Author keywords

Arousal; Automatic estimation; Concreteness; Dominance; Imagery; Latent semantic analysis (LSA); Lexical norms; Valence

Indexed keywords

ARTICLE; EMOTION; EVALUATION; HUMAN; LANGUAGE; LINGUISTICS; PSYCHOTHERAPY; SEMANTICS;

EMOTIONS; HUMANS; IMAGERY (PSYCHOTHERAPY); LANGUAGE; SEMANTICS; VOCABULARY;

EID: 84870560133     PISSN: 1554351X     EISSN: 15543528     Source Type: Journal    
DOI: 10.3758/s13428-012-0195-z     Document Type: Article

References (50)

1. Andrews, M., Vigliocco, G., & Vinson, D. (2009). Integrating experiential and distributional data to learn semantic representations. Psychological Review, 116, 463-498. doi: 10. 1037/a0016261.
2. Balota, D. A., Cortese, M. J., Sergent-Marshall, S. D., Spieler, D. H., & Yap, M. J. (2004). Visual word recognition of single-syllable words. Journal of Experimental Psychology: General, 133, 283-316.
3. Bayer, M., Sommer, W., & Schacht, A. (2010). Reading emotional words within sentences: The impact of arousal and valence on event-related potentials. International Journal of Psychophysiology, 78, 299-307. doi: 10. 1016/j. ijpsycho. 2010. 09. 004.
4. Bestgen, Y. (1994). Can emotional valence in stories be determined from words? Cognition and Emotion, 7, 21-36.
5. Bestgen, Y. (2002). Détermination de la valence affective de termes dans de grands corpus de textes [Determination of the emotional valence of terms in large corpora]. In: Y. Toussaint, & C. Nedellec (eds) Actes du Colloque International sur la Fouille de Texte CIFT '02, 81-94. INRIA, Nancy, France.
6. Bestgen, Y. (2008). Building affective lexicons from specific corpora for automatic sentiment analysis. In: N. Calzolari, K. Choukri, B. Maegaard, J. Mariani, J. Odjik, S. Piperidis, & D. Tapias (eds) Proceedings of LREC '08, 6th Language Resources and Evaluation Conference, 496-500, ELRA, Marrakech, Morocco.
7. Bonin, P., Barry, C., Méot, A., & Chalard, M. (2004). The influence of age of acquisition in word reading and other tasks: A never ending story? Journal of Memory and Language, 50, 456-476. doi: 10. 1016/j. jml. 2004. 02. 001.
8. Bradley, M. M., & Lang P. J. (1999). Affective norms for English words (ANEW): Stimuli, instruction manual and affective ratings (Tech. Rep. No. C-1). Gainesville, FL: Center for Research in Psychophysiology, University of Florida.
9. Bradshaw, J. L. (1984). A guide to norms, ratings, and lists. Memory and Cognition, 12, 202-206.
10. Brysbaert, M., & Cortese, M. J. (2011). Do the effects of subjective frequency and age of acquisition survive better word frequency norms? Quarterly Journal of Experimental Psychology, 64, 545-559. doi: 10. 1080/17470218. 2010. 503374.
11. Chalard, M., Bonin, P., Méot, A., Boyer, B., & Fayol, M. (2003). Objective age-of-acquisition (AoA) norms for a set of 230 object names in French: Relationships with other variables used in psycholinguistic experiments, the English data from Morrison et al. (1997) and naming latencies. European Journal of Cognitive Psychology, 15, 209-245.
12. Cohen, A. S., Minor, K. S., Najolia, G. M., & Hong, S. L. (2009). Laboratory-based procedure for measuring emotional expression from natural speech. Behavior Research Methods, 41, 204-212. doi: 10. 3758/BRM. 41. 1. 204.
13. Deerwester, S., Dumais, S. T., Furnas, G. W., Landauer, T. K., & Harshman, R. (1990). Indexing by latent semantic analysis. Journal of the American Society for Information Science, 41, 391-407.
14. Desrochers, A., & Saint-Aubin, J. (2008). Sources de matériel en français pour l'élaboration d'épreuves de compétences en lecture et en écriture [Materials for assessing writing and reading skills in French language]. Canadian Journal of Education, 31, 305-326. Retrieved June 22, 2011, from http://www. csse-scee. ca/RCE/Articles/RCE31-2. html.
15. Desrochers, A., & Thompson, G. L. (2009). Subjective frequency and imageability ratings for 3, 600 French nouns. Behavior Research Methods, 41, 546-557. doi: 10. 3758/BRM. 41. 2. 546.
16. Dewaele, J.-M., & Pavlenko, A. (2002). Emotion vocabulary in interlanguage. Language Learning, 52, 263-322.
17. Esuli, A., & Sebastiani, F. (2006). Sentiwordnet: A publicly available lexical resource for opinion mining. In Proceedings of LREC'06, 5th Language Resources and Evaluation Conference (pp. 417-422). Retrieved June 21, 2011, from http://sentiwordnet. isti. cnr. it/.
18. Ferrand, L., Bonin, P., Méot, A., Augustinova, M., New, B., Pallier, C., & Brysbaert, M. (2008). Age of acquisition and subjective frequency estimates for all generally known monosyllabic French words and their relation with other psycholinguistic variables. Behavior Research Methods, 40, 1049-1054. doi: 10. 3758/BRM. 40. 4. 1049.
19. Gilhooly, K. J., & Logie, R. H. (1980). Age of acquisition, imagery, concreteness, familiarity and ambiguity measures for 1, 944 words. Behavior Research Methods and Instrumentation, 12, 395-427.
20. Griffiths, T. L., Steyvers, M., & Tenenbaum, J. B. (2007). Topics in semantic representation. Psychological Review, 114, 211-244. doi: 10. 1037/0033-295X. 114. 2. 211.
21. Hatzivassiloglou, V., & McKeown, K. R. (1997). Predicting the semantic orientation of adjectives. In: P. Cohen, & W. Wahlster (eds) Proceedings of ACL-97, 35th Annual Meeting of the Association for Computational Linguistics (pp. 174-181), Morgan Kaufmann, San Francisco. Retrieved April 5, 2011, from http://acl. ldc. upenn. edu/P/P97/.
22. Heise, D. R. (1965). Semantic differential profiles for 1000 most frequent English words. Psychological Monographs, 79, 1-31.
23. Jessen, F., Heun, R. R., Erb, M. M., Granath, D. O., Klose, U. U., Papassotiropoulos, A. A., & Grodd, W. W. (2000). The concreteness effect: Evidence for dual coding and context availability. Brain and Language, 74, 103-112.
24. Jones, M. N., & Mewhort, D. J. K. (2007). Representing word meaning and order information in a composite holographic lexicon. Psychological Review, 114, 1-32. doi: 10. 1037/0033-295X. 114. 1. 1.
25. Kamps, J., & Marx, M. (2002). Words with attitude. Proceedings of the 1st International Conference on Global WordNet, 332-341. CIIL, Mysore, India.
26. Kim, S. M., & Hovy, E. (2004). Determining the sentiment of opinions. Proceedings of COLING '04, the 20th International Conference on Computational Linguistics, 1367-1373. Geneva, Switzerland. doi: 10. 3115/1220355. 1220555.
27. Kintsch, W. (Ed.) (2007). Meaning in context. In T. K. Landauer, D. McNamara, D. Simon, & W. Kintsch (Eds.), Handbook of Latent Semantic Analysis (pp. 89-105). Mahwah, NJ: Erlbaum.
28. Kousta, S. T., Vigliocco, G., Vinson, D. P., Andrews, M., & Del Campo, E. (2011). The representation of abstract words: why emotion matters. Journal of Experimental Psychology: General, 140, 14-34.
29. Kroll, J. F., & Merves, J. S. (1986). Lexical access for concrete and abstract words. Journal of Experimental Psychology: Learning, Memory, and Cognition, 12, 92-107.
30. Lachenbruch, P. A., & Mickey, R. M. (1968). Estimation of error rates in discriminant analysis. Technometrics, 10, 1-11.
31. Landauer, T. K., Foltz, P. W., & Laham, D. (1998). An introduction to latent semantic analysis. Discourse Processes, 25, 259-284.
32. Landauer, T. K., Laham, D., & Derr, M. (2004). From paragraph to graph: Latent semantic analysis for information visualization. Proceedings of the National Academy of Science, 101, 5214-5219. doi: 10. 1073/pnas. 0400341101.
33. Landauer, T. K., McNamara, D., Simon, D., & Kintsch, W. (Eds.). (2007). Handbook of latent semantic analysis. Mahwah, NJ: Erlbaum.
34. Louwerse, M. M. (2011). Symbol interdependency in symbolic and embodied cognition. Topics in Cognitive Science, 3, 273-302. doi: 10. 1111/j. 1756-8765. 2010. 01106. x.
35. Lund, K., & Burgess, C. (1996). Producing high-dimensional semantic spaces from lexical co-occurrence. Behavior Research Methods, Instruments, & Computers, 28, 203-208. doi: 10. 3758/BF03204766.
36. Miller, G. A., Beckwith, R., Fellbaum, C., Gross, D., & Miller, K. (1990). WordNet: An on-line lexical database. International Journal of Lexicography, 3, 235-244.
37. Morrison, C. M., Chappell, T. D., & Ellis, A. W. (1997). Age of acquisition norms for a large set of object names and their relation to adult estimates and other variables. Quarterly Journal of Experimental Psychology, 50A, 528-559.
38. Pang, B., & Lee, L. (2008). Opinion mining and sentiment analysis. Foundations and Trends in Information Retrieval, 2, 1-135.
39. Pennebaker, J. W., Mehl, M. R., & Niederhoffer, K. G. (2003). Psychological aspects of natural language use: Our words, our selves. Annual Review of Psychology, 54, 547-577.
40. Proctor, R. W., & Vu, K. L. (1999). Index of norms and ratings published in the Psychonomic Society journals. Behavior Research Methods, Instruments, & Computers, 31, 659-667.
41. Schmid, H. (1994). Probabilistic part-of-speech tagging using decision trees. In: D. Jones (ed) Proceedings of the International Conference on New Methods in Language Processing, 44-49. University of Manchester, Manchester, England.
42. Stone, M. (1974). Cross-validatory choice and assessment of statistical predictions (with discussion). Journal of the Royal Statistical Society, B36, 111-147.
43. Stone, P. J., Dunphy, D. C., Smith, M. S., & Ogilvie, D. M. (1966). The General Inquirer: A computer approach to content analysis. Cambridge, MA: MIT Press.
44. Tanaka-Ishii, K., & Terada, H. (2011). Word familiarity and frequency. Studia Linguistica, 65, 96-116. doi: 10. 1111/j. 1467-9582. 2010. 01176. x.
45. Thompson, G. L., & Desrochers, A. (2009). Corroborating biased indicators: Global and local agreement among objective and subjective estimates of printed word frequency. Behavior Research Methods, 41, 452-471. doi: 10. 3758/BRM. 41. 2. 452.
46. Tipples, J. (2010). Time flies when we read taboo words. Psychonomic Bulletin & Review, 17, 563-568. doi: 10. 3758/PBR. 17. 4. 563.
47. Turney, P. D., & Littman, M. (2002). Unsupervised learning of semantic orientation from a hundred-billion-word corpus. Technical Report ERB-1094 (NRC-44929). National Research Council Canada. Retrieved September 7, 2011, from http://arxiv. org/abs/cs/0212012v1.
48. Turney, P. D., & Littman, M. (2003). Measuring praise and criticism: Inference of semantic orientation from association. ACM Transactions on Information Systems, 21, 315-346.
49. Valitutti, A., Strapparava, C., & Stock, O. (2004). Developing affective lexical resources. PsychNologyJournal, 2, 61-83. Retrieved September 8, 2011, from http://207. 210. 83. 249/psychnology/index. php?page=psychnology-journal-volume-2-number-1.
50. Warschauer, M., & Ware, P. (2006). Automated writing evaluation: Defining the classroom research agenda. Language Teaching Research, 10, 157-180. doi: 10. 1191/1362168806lr190oa.