In this thesis, we aim to analyze the computational aspects of discourse
annotation. Discourse is not only a concatenation of sentences / in
fact the totality of discourse is more than the sum total of the sentences
that constitute it. The property that differentiates discourse from
a set of arbitrary sentences is defined as coherence. Coherence is
established by the relations between the parts of discourse. We have
a lexicalized approach to discourse, therefore in this study, discourse
relations are considered to be set up by lexical items called discourse
connectives. Systematic analysis of coherence requires an annotated
corpus in which coherence relations are encoded. We developed an
annotation environment to be used in an ongoing discourse level annotation
project which aims to generate a theory-neutral source of coherence relations.
We followed a data-driven methodology in design of the data
structure employed in the annotation software. For this reason, we examined the predicate-argument
structure of connectives. This analysis shows that stand-off annotation
technique is more suitable than an inline method for such an annotation environment.
This thesis also include a brief discussion on the formal implications of coherence relation constructions.
| Identifer | oai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/12610402/index.pdf |
| Date | 01 December 2008 |
| Creators | Aktas, Berfin |
| Contributors | Bozsahin, Cem |
| Publisher | METU |
| Source Sets | Middle East Technical Univ. |
| Language | English |
| Detected Language | English |
| Type | M.S. Thesis |
| Format | text/pdf |
| Rights | To liberate the content for public access |
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