Britton, B. K., Glynn, S. M., Meyer, B. J. F., & Penland, M. J. (1982). Effects of text structure on the use of cognitive capacity during reading. Journal of Educational Psychology, 74, 51-61.
Cain, K., & Nash, H. M. (2011). The Influence of Connectives on Young Readers’ Processing and Comprehension of Text. Journal of Educational Psychology, 103(2), 429-441.
Carlson, L., Marcu, D., & Okurowski, M. E. (2002). RST Discourse Treebank, LDC2002T07. from https://catalog.ldc.upenn.edu/LDC2002T07
Haberlandt, K. (1982). Reader expectations in text comprehension. In J.-F. Le Ny & W. Kintsch (Eds.), Language and Comprehension (pp. 239-249). Amsterdam, The Netherlands: North-Holland.
Kamalski, J. (2007). Coherence marking, comprehension and persuasion: On the processing and representation of discourse. Utrecht, The Netherlands: LOT.
Lapata, M., & Lascarides, A. (2004). Inferring sentence-internal temporal relations. Paper presented at the the North American Chapter of the Assocation of Computational Linguistics.
Marcu, D., & Echihabi, A. (2002). An unsupervised approach to recognising discourse relations.Paper presented at the 40th Annual Meeting of the Association for Computational Linguistics (ACL’02), Philadelphia, PA,.
Meyer, B. J. F. (1975). The organization of prose and its effects on memory. Amsterdam: North-Holland.
Millis, K. K., & Just, M. A. (1994). The influence of connectives on sentence comprehension. Journal of Memory and Language, 33, 128-147.
Mulder, G. (2008). Undestanding causal coherence relations. (PhD Dissertation), Utrecht University, Utrecht, The Netherlands.
Prasad, R., Dinesh, N., Lee, A., Miltsakaki, E., Robaldo, L., Joshi, A., & Webber, B. (2008). The penn discourse treebank 2.0. Paper presented at the 6th International Conference on Language Resources and Evaluation (LREC 2008), Marrackech, Morocco.
Sanders, T., & Noordman, L. (2000). The role of coherence relations and their linguistic markers in text processing. Discourse Processes, 29(1), 37-60.
Sporleder, C., & Lascarides, A. (2005). Exploiting linguistic cues to classify rhetorical relations.Paper presented at the Recent Advances in Natural Language Processing (RANLP-05), Borovets, Bulgaria.
Sporleder, C., & Lascarides, A. (2008). Using automatically labelled examples to classify rhetorical relations: An assessment. Natural Language Engineering, 14, 369–416.
