2008/04/07 by Sviatlana Danilava, Christoph Schommer, Danilava, Sviatlana +1
Computer Science · #Advanced Text Analysis Techniques #Computation and Language (cs.CL) #F.4.3 #FOS: Computer and information sciences #I.2.7 #J.5 #Logic in Computer Science (cs.LO) #Natural Language Processing Techniques #Topic Modeling #cs.CL #cs.LO
paper · pdf · doi:10.48550/arxiv.0804.1033
18 pages, 5 Figures
arxiv created 2008/04/07 · openalex publication_date 2008/04/07 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Documents in scientific newspapers are often marked by attitudes and opinions of the author and/or other persons, who contribute with objective and subjective statements and arguments as well. In this respect, the attitude is often accomplished by a linguistic modality. As in languages like english, french and german, the modality is expressed by special verbs like can, must, may, etc. and the subjunctive mood, an occurrence of modalities often induces that these verbs take over the role of modality. This is not correct as it is proven that modality is the instrument of the whole sentence where both the adverbs, modal particles, punctuation marks, and the intonation of a sentence contribute. Often, a combination of all these instruments are necessary to express a modality. In this work, we concern with the finding of modal verbs in scientific texts as a pre-step towards the discovery of the attitude of an author. Whereas the input will be an arbitrary text, the output consists of zones representing modalities.