Corrigendum: Giving good directions: order of mention reflects visual salience(Front. Psychol., (2015), 6, (1793), 10.3389/fpsyg.2015.01793);Giving good directions: Order of mention reflects visual salience

Frontiers in Psychology

Volumn 6, Issue DEC, 2015, Pages

  Clarke, Alasdair D F ^a   Elsner, Micha ^b   Rohde, Hannah ^c  

^a UNIVERSITY OF ABERDEEN   (United Kingdom)

^b OHIO STATE UNIVERSITY   (United States)

^c UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

Referring expressions; Visual salience; Visual search; visual salience; visual search; referring expressions

Indexed keywords

EID: 84954214926     PISSN: None     EISSN: 16641078     Source Type: Journal    
DOI: 10.3389/fpsyg.2024.1444968     Document Type: Erratum

References (51)

1. Achanta, R., Hemami, S., Estrada, F., and Süsstrunk, S. (2009). "Frequency-tuned salient region detection, "in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2009) (Miami Beach, FL), 1597-1604. doi: 10.1109/CVPR.2009.5206596
2. Ariel, M. (1988). Referring and accessibility. J. Linguist. 24, 65-87. doi: 10.1017/S0022226700011567
3. Arts, A., Maes, A., Noordman, L., and Jansen, C. (2011). Overspecification facilitates object identification. J. Pragmat. 43, 361-374. doi: 10.1016/j.pragma.2010.07.013
4. Barclay, M. (2010). Reference Object Choice in Spatial Language: Machine and Human Models. PhD thesis, University of Exeter.
5. Barr, D. J., Levy, R., Scheepers, C., and Tily, H. J. (2013). Random effects structure for confirmatory hypothesis testing: keep it maximal. J. Mem. Lang. 68, 255-278. doi: 10.1016/j.jml.2012.11.001
6. Bates, D., Mächler, M., Bolker, B., and Walker, S. (2015). Fitting linear mixed-effects models using lme4. J. Stat. Soft. 67, 1-48, doi: 10.18637/jss.v067.i01
7. Belz, A., and Gatt, A. (2007). "The attribute selection for GRE challenge: overview and evaluation results, "in Proceedings of UCNLG+ MT: Language Generation and Machine Translation (Copenhagen), 75-83.
8. Belz, A., and Gatt, A. (2008). "Intrinsic vs. extrinsic evaluation measures for referring expression generation, "in Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers (Columbus, OH: Association for Computational Linguistics), 197-200.
9. Beun, R.-J., and Cremers, A. H. (1998). Object reference in a shared domain of conversation. Pragmat. Cogn. 6, 121-152. doi: 10.1075/pc.6.1-2.08beu
10. Brown-Schmidt, S., Gunlogson, C., and Tanenhaus, M. K. (2008). Addressees distinguish shared from private information when interpreting questions during interactive conversation. Cognition 107, 1122-1134. doi: 10.1016/j.cognition.2007.11.005
11. Bruce, N., and Tsotsos, J. (2007). Attention based on information maximization. J. Vis. 7, 950. doi: 10.1167/7.9.950
12. Clark, H. H., and Wilkes-Gibbs, D. (1986). Referring as a collaborative process. Cognition 22, 1-39. doi: 10.1016/0010-0277(86)90010-7
13. Clarke, A., Elsner, M., and Rohde, H. (2013). Where's Wally: the influence of visual salience on referring expression generation. Front. Psychol. 4:329. doi: 10.3389/fpsyg.2013.00329
14. Clarke, A. D. F., and Keller, F. (2014). "Measuring the salience of an object in a scene, "in Proceedings of Vision Science Society (St. Pete Beach, FL).
15. Degen, J., and Franke, M. (2012). "Optimal reasoning about referential expressions, "in Proceedings of SEMDial (Paris).
16. Duan, M., Elsner, M., and de Marneffe, M.-C. (2013). "Visual and linguistic predictors for the definiteness of referring expressions, "in Proceedings of the 17th Workshop on the Semantics and Pragmatics of Dialogue (SemDial) (Amsterdam).
17. Duckham, M., Winter, S., and Robinson, M. (2010). Including landmarks in routing instructions. J. Loc. Based Serv. 4, 28-52. doi: 10.1080/17489721003785602
18. Elsner, M., Rohde, H., and Clarke, A. (2014). "Information structure prediction for visual-world referring expressions, "in Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics (Gothenburg: Association for Computational Linguistics), 520-529. doi: 10.3115/v1/E14-1055
19. Erdem, E., and Erdem, A. (2013). Visual saliency estimation by nonlinearly integrating features using region covariances. J. Vis. 13, 11. doi: 10.1167/13.4.11
20. Frank, M. C., and Goodman, N. D. (2012). Predicting pragmatic reasoning in language games. Science 336, 998-998. doi: 10.1126/science.1218633
21. Garcia-Diaz, A., Leborán, V., Fdez-Vidal, X. R., and Pardo, X. M. (2012). On the relationship between optical variability, visual saliency, and eye fixations: a computational approach. J. Vis. 12, 17. doi: 10.1167/12.6.17
22. Gkatzia, D., Rieser, V., Bartie, P., and Mackaness, W. (2015). "From the virtual to the realworld: referring to objects in real-world spatial scenes, "in Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (Lisbon: Association for Computational Linguistics), 1936-1942.
23. Golland, D., Liang, P., and Klein, D. (2010). "A game-theoretic approach to generating spatial descriptions, "in Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing (Cambridge, MA: Association for Computational Linguistics), 410-419.
24. Handford, M. (1987). Where's Wally? 3rd Edn. London: Walker Books.
25. Handford, M. (1988). Where's Wally Now? 4th Edn. London: Walker Books.
26. Handford, M. (1993). Where's Wally? In Hollywood, 3rd Edn. London: Walker Books.
27. Horton, W., and Keysar, B. (1996). When do speakers take into account common ground? Cognition 59, 91-117. doi: 10.1016/0010-0277(96)81418-1
28. Horton, W. S., and Gerrig, R. J. (2002). Speakers experiences and audience design: knowing when and knowing how to adjust utterances to addressees. J. Mem. Lang. 47, 589-606. doi: 10.1016/S0749-596X(02)00019-0
29. Hou, X., Harel, J., and Koch, C. (2012). Image signature: highlighting sparse salient regions. IEEE Trans. Anal. Mach. Intell. 34, 194-201. doi: 10.1109/TPAMI.2011.146
30. Judd, T., Durand, F., and Torralba, A. (2012). A Benchmark of Computational Models of Saliency to Predict Human Fixations. Technical Report, MIT. Report no. MIT-CSAIL-TR-2012-001.
31. Kelleher, J., Costello, F., and van Genabith, J. (2005). Dynamically structuring, updating and interrelating representations of visual and linguistic discourse context. Artif. Intell. 167, 62-102. doi: 10.1016/j.artint.2005.04.008
32. Koolen, R., Gatt, A., Goudbeek, M., and Krahmer, E. (2011). Factors causing overspecification in definite descriptions. J. Pragmat. 43, 3231-3250. doi: 10.1016/j.pragma.2011.06.008
33. Krahmer, E., and van Deemter, K. (2012). Computational generation of referring expressions: a survey. Comput. Linguist. 38, 173-218. doi: 10.1162/COLI_a_00088
34. Lockridge, C. B., and Brennan, S. E. (2002). Addressees' needs influence speakers' early syntactic choices. Psychon. Bull. Rev. 9, 550-557. doi: 10.3758/BF03196312
35. Maienborn, C. (2001). On the position and interpretation of locative modifiers. Nat. Lang. Semant. 9, 191-240. doi: 10.1023/A:1012405607146
36. Pechmann, T. (1989). Incremental speech production and referential overspecification. Linguistics 27, 3-1756.
37. Prince, E. (1981). "Toward a taxonomy of given-new information, "in Radical Pragmatics, ed P. Cole (New York, NY: Academic Press), 223-255.
38. Roberts, C. (2003). Uniqueness in definite noun phrases. Lang. Philos. 26, 287-350. doi: 10.1023/A:1024157132393
39. Rohde, H., Seyfarth, S., Clark, B., Jäger, G., and Kaufmann, S. (2012). "Communicating with cost-based implicature: a game-theoretic approach to ambiguity, "in The 16th Workshop on the Semantics and Pragmatics of Dialogue (Paris), 107-116.
40. Talmy, L. (1978). "Figure and ground in complex sentences, "in Universals of human language, Vol. 4, ed J. Greenberg (Stanford: Stanford University Press), 625-649.
41. Talmy, L. (1983). "How language structures space, "in Spatial Orientation: Theory, Research and Application, eds H. L. Pick Jr and L. P. Acredolo (New York, NY: Springer), 225-282.
42. Torralba, A., Oliva, A., Castelhano, M., and Henderson, J. M. (2006). Contextual guidance of attention in natural scenes: the role of global features on object search. Psychol. Rev. 113, 766-786. doi: 10.1037/0033-295X.113.4.766
43. Viethen, J., and Dale, R. (2006). "Algorithms for generating referring expressions: do they do what people do?" in Proceedings of the Fourth International Natural Language Generation Conference, INLG '06 (Stroudsburg, PA: Association for Computational Linguistics), 63-70. doi: 10.3115/1706269.1706283
44. Viethen, J., and Dale, R. (2008). "The use of spatial relations in referring expressions, "in Proceedings of the 5th International Conference on Natural Language Generation (Salt Fork, OH).
45. Viethen, J., and Dale, R. (2011). "GRE3D7: a corpus of distinguishing descriptions for objects in visual scenes, "in Proceedings of the Workshop on Using Corpora in Natural Language Generation and Evaluation (Edinburgh: Association for Computational Linguistics).
46. Vikram, T. N., Tscherepanow, M., and Wrede, B. (2012). A saliency map based on sampling an image into random rectangular regions of interest. Pattern Recognit. 45, 3114-3124. doi: 10.1016/j.patcog.2012.02.009
47. Vogel, A., Potts, C., and Jurafsky, D. (2013). "Implicatures and nested beliefs in approximate decentralized-pomdps, "in ACL (2) (Sofia: Citeseer), 74-80.
48. Ward, G., and Birner, B. (1995). Definiteness and the English existential. Language 71, 722-742. doi: 10.2307/415742
49. Ward, G., and Birner, B. (2001). "Discourse and information structure, "in Handbook of Discourse Analysis, eds D. Schiffrin, D. Tannen, and H. Hamilton (Oxford: Basil Blackwell), 119-137.
50. White, M., and Rajkumar, R. (2012). "Minimal dependency length in realization ranking, "in Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (Jeju Island: Association for Computational Linguistics), 244-255.
51. Wolfe, J. M. (2012). "Visual search, "in Cognitive Search: Evolution, Algorithms and the Brain, eds P. Todd, T. Holls, and T. Robbins (Cambridge, MA: MIT Press), 159-175.