NEWS.md

In omstuhler/semgram: Extracting Semantic Motifs from Textual Data

semgram 0.1.1

Improvements

• Verbs followed by a preposition can now be be considered as compositional actions. Objects linked to verbs via a preposition can be considered as actions. This considerably increases the number of extracted patients. For details, consider the documentation for the verb_prep and verb_prep_greedy parameters in the extract_motifs() function.
• When using extract_motifs() the ann_id in the returned data.frames should now realiably link to the entity associated with the respective motif.
• Fixed some typos in documentation, shortened README.md.
• When using extract_motifs(), you can now add a pseudo paragraph to each motif extraction. This makes it possible to better examine the context of a motif and may be especially useful for research integrating formal and qualitative modes of reading.

omstuhler/semgram documentation built on Oct. 5, 2022, 7:54 p.m.