Accurate unlexicalized parsing
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
The Penn Treebank: annotating predicate argument structure
HLT '94 Proceedings of the workshop on Human Language Technology
Using appraisal groups for sentiment analysis
Proceedings of the 14th ACM international conference on Information and knowledge management
Creating a systemic functional grammar corpus from the Penn treebank
DeepLP '07 Proceedings of the Workshop on Deep Linguistic Processing
Natural Language Processing with Python
Natural Language Processing with Python
Text-level discourse parsing with rich linguistic features
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
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The study of language functions is closely associated with the semantic and pragmatic aspects of language. While data driven approaches have been successfully applied on retrieval of functional-semantic information at the discourse level, the work at the clause level is still largely absent. In this paper, we annotate an initial corpus with Systemic Functional Linguistics, a prominent framework for the analysis of language functions at the sentence/clause level. The annotated corpus makes it possible to train a classifier to automatically classify functional processes at the clausal level. With an initial computational resource, the linking and interoperation between the two levels of functional information is now possible, giving rise to a range of potential applications in functional/semantic retrieval.