Discourse Segment Type vs. Linguistic Features

1. Ten full-text papers in biology were annotated, see 170220_deWaard_Corpus for full references. The papers were selected according to three criteria:
1.1. Papers related to the Voorhoeve paper (Voorhoeve). (*)
1.2. Papers regarding neuropharmacology (Neuro). (**)
1.3. Papers from the Genia corpus (Genia). (***)
2. The papers were obtained by downloading the html and converted into text and then copied into an Excel spreadsheet.
3. Each paper was annotated as follows:
3.1. The first letter of the first author name was added (column 1)
3.2. The papers were (manually) split into discourse segments, as described in [2]
3.3. The section names were added;
3.4. Segment types were identified, according to the categories defined in [2];
3.5. Verb tense/modality/voice was annotated, according to the categories defined in [2];
3.6. Verb class was added from a taxonomy described in [3];
3.7. Modality features were added according to categories described in [4];
4. The final results with the text enclosed can be found in the file 170220_deWaard_DST_With_Text
5. The final results with only numerical results, for ease of statistical processing, can be found in the files 170220_deWaard_DST_Codes
6. The CodeBook describing the map of the numerical results to the values can be found in the file 170220_deWaard_Value_Labels

[2] de Waard, A. and Pander Maat, H. (2009). Categorizing Epistemic Segment Types in Biology Research Articles. In Proceedings of the Workshop on Linguistic and Psycholinguistic Approaches to Text Structuring (LPTS 2009)
[3] de Waard , Anita & Pander Maat, Henk. (2010). A classification of research verbs to facilitate discourse segment identification in biological texts. Proceedings from The Interdisciplinary Workshop on Verbs. The identification and representation of verb features. Pisa, Italy
[4] de Waard, A. and Pander Maat, H. (2012). Knowledge Attribution in Scientific Discourse: A Taxonomy of Types and Overview of Features, In Proceedings of the Workshop on Detecting Structure in Scholarly Discourse (DSDD), ACL 2012