Probabilistic and rule-based tagger of an inflective language: a comparison
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Data-driven approaches for information structure identification
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Discourse-level annotation for investigating information structure
DiscAnnotation '04 Proceedings of the 2004 ACL Workshop on Discourse Annotation
Learning information structure in the Prague treebank
ACLstudent '05 Proceedings of the ACL Student Research Workshop
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After a brief characterization of the theory of the topic-focus articulation of the sentence (TFA), rules are formulated that determine the assignment of appropriate values of the TFA attribute in the process of syntactico-semantic tagging of a very large corpus of Czech.