| Title |
Studying Uncertainty in Science: a distributional analysis through the IMRaD structure |
| Authors |
Iana Atanassova, François-C. Rey, Marc Bertin |
| Abstract |
Uncertainty in science is an integral part of the research process and an important element of discovery. We propose to study the expression of uncertainty in research papers in two domains which are Biomedicine and Physics. We focus on two existing sets of cue words and construct a new set of strong indicators of uncertainty that are composed of linguistic expressions. After processing two datasets that consist of the full text of papers published by PubMed in Open Access, we examine the occurrences of the sets of cue words and strong indicators. As a result, we obtain the distributions of cues of uncertainty along the text progression and their positions with respect to section types in the rethorical structure of the papers. The results show that cues and strong indicators of uncertainty are most frequent in the Discussion section of articles and in general towards the end of the text progression. Significant differences can be observed between the two datasets. |
Full paper |
Studying Uncertainty in Science: a distributional analysis through the IMRaD structure
|
| Bibtex |
@InProceedings{ATANASSOVA18.10,
author = {Iana Atanassova ,François-C. Rey and Marc Bertin},
title = {Studying Uncertainty in Science: a distributional analysis through the IMRaD structure},
booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)},
year = {2018},
month = {may},
date = {7-12},
location = {Miyazaki, Japan},
editor = {},
publisher = {European Language Resources Association (ELRA)},
address = {Paris, France},
isbn = {979-10-95546-20-7},
language = {english}
} |
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