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Checking and bootstrapping lexical norms by means of word similarity indexes

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  1. Andrews Mark, Vigliocco Gabriella, Vinson David, Integrating experiential and distributional data to learn semantic representations., 10.1037/a0016261
  2. Balota David A., Cortese Michael J., Sergent-Marshall Susan D., Spieler Daniel H., Yap Melvin J., Visual Word Recognition of Single-Syllable Words., 10.1037/0096-3445.133.2.283
  3. Bayer Mareike, Sommer Werner, Schacht Annekathrin, Reading emotional words within sentences: The impact of arousal and valence on event-related potentials, 10.1016/j.ijpsycho.2010.09.004
  4. Bestgen Yves, Can emotional valence in stories be determined from words?, 10.1080/02699939408408926
  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 Patrick, Barry Christopher, Méot Alain, Chalard Marylène, The influence of age of acquisition in word reading and other tasks: A never ending story?, 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 John L., A guide to norms, ratings, and lists, 10.3758/bf03198435
  10. Brysbaert Marc, Cortese Michael J., Do the effects of subjective frequency and age of acquisition survive better word frequency norms?, 10.1080/17470218.2010.503374
  11. Chalard Marylène, Bonin Patrick, Méot Alain, Boyer Bruno, Fayol Michel, Objective age-of-acquisition (AoA) norms for a set of 230 object names in French: Relationships with psycholinguistic variables, the English data from Morrison et al. (1997), and naming latencies, 10.1080/09541440244000076
  12. Cohen Alex S., Minor Kyle S., Najolia Gina M., Hong S. Lee, A laboratory-based procedure for measuring emotional expression from natural speech, 10.3758/brm.41.1.204
  13. Deerwester Scott, Dumais Susan T., Furnas George W., Landauer Thomas K., Harshman Richard, Indexing by latent semantic analysis, 10.1002/(sici)1097-4571(199009)41:6<391::aid-asi1>;2-9
  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
  15. Desrochers Alain, Thompson Glenn L., Subjective frequency and imageability ratings for 3,600 French nouns, 10.3758/brm.41.2.546
  16. Dewaele Jean-Marc, Pavlenko Aneta, Emotion Vocabulary in Interlanguage, 10.1111/0023-8333.00185
  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
  18. Ferrand Ludovic, Bonin Patrick, Méot Alain, Augustinova Maria, New Boris, Pallier Christophe, Brysbaert Marc, Age-of-acquisition and subjective frequency estimates for all generally known monosyllabic French words and their relation with other psycholinguistic variables, 10.3758/brm.40.4.1049
  19. Gilhooly K. J., Logie R. H., Age-of-acquisition, imagery, concreteness, familiarity, and ambiguity measures for 1,944 words, 10.3758/bf03201693
  20. Griffiths Thomas L., Steyvers Mark, Tenenbaum Joshua B., Topics in semantic representation., 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
  22. Heise David R., Semantic differential profiles for 1,000 most frequent English words., 10.1037/h0093884
  23. Jessen F., Heun R., Erb M., Granath D.-O., Klose U., Papassotiropoulos A., Grodd W., The Concreteness Effect: Evidence for Dual Coding and Context Availability, 10.1006/brln.2000.2340
  24. Jones Michael N., Mewhort Douglas J. K., Representing word meaning and order information in a composite holographic lexicon., 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 Soo-Min, Hovy Eduard, Determining the sentiment of opinions, 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 Stavroula-Thaleia, Vigliocco Gabriella, Vinson David P., Andrews Mark, Del Campo Elena, The representation of abstract words: Why emotion matters., 10.1037/a0021446
  29. Kroll Judith F., Merves Jill S., Lexical access for concrete and abstract words., 10.1037/0278-7393.12.1.92
  30. Lachenbruch Peter A., Mickey M. Ray, Estimation of Error Rates in Discriminant Analysis, 10.1080/00401706.1968.10490530
  31. Landauer Thomas K, Foltz Peter W., Laham Darrell, An introduction to latent semantic analysis, 10.1080/01638539809545028
  32. Landauer T. K., Laham D., Derr M., From paragraph to graph: Latent semantic analysis for information visualization, 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 Max M., Symbol Interdependency in Symbolic and Embodied Cognition : Topics in Cognitive Science(2010), 10.1111/j.1756-8765.2010.01106.x
  35. Lund Kevin, Burgess Curt, Producing high-dimensional semantic spaces from lexical co-occurrence, 10.3758/bf03204766
  36. Miller George A., Beckwith Richard, Fellbaum Christiane, Gross Derek, Miller Katherine J., Introduction to WordNet: An On-line Lexical Database*, 10.1093/ijl/3.4.235
  37. Morrison Catriona M., Chappell Tameron D., Ellis Andrew W., Age of Acquisition Norms for a Large Set of Object Names and Their Relation to Adult Estimates and Other Variables, 10.1080/027249897392017
  38. Pang Bo, Lee Lillian, Opinion Mining and Sentiment Analysis, 10.1561/1500000011
  39. Pennebaker James W., Mehl Matthias R., Niederhoffer Kate G., Psychological Aspects of Natural Language Use: Our Words, Our Selves, 10.1146/annurev.psych.54.101601.145041
  40. Proctor Robert W., Vu Kim-Phuong L., Index of norms and ratings published in the Psychonomic Society journals, 10.3758/bf03200742
  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 Kumiko, Terada Hiroshi, Word familiarity and frequency : Word familiarity and frequency, 10.1111/j.1467-9582.2010.01176.x
  45. Thompson Glenn L., Desrochers Alain, Corroborating biased indicators: Global and local agreement among objective and subjective estimates of printed word frequency, 10.3758/brm.41.2.452
  46. Tipples Jason, Time flies when we read taboo words, 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
  48. Turney Peter D., Littman Michael L., Measuring praise and criticism : Inference of semantic orientation from association, 10.1145/944012.944013
  49. Valitutti, A., Strapparava, C., & Stock, O. (2004). Developing affective lexical resources. PsychNology Journal, 2, 61-83. Retrieved September 8, 2011, from
  50. Warschauer Mark, Ware Paige, Automated writing evaluation: defining the classroom research agenda, 10.1191/1362168806lr190oa
Bibliographic reference Bestgen, Yves ; Vincze, Nadja. Checking and bootstrapping lexical norms by means of word similarity indexes. In: Behavior Research Methods, Vol. 44, no. 4, p. 998-1006 (2012)
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