SemEval'07 task 19: frame semantic structure extraction
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
CLR: integration of FrameNet in a text representation system
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
Introduction to the CoNLL-2005 shared task: semantic role labeling
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
Beyond sentence-level semantic role labeling: linking argument structures in discourse
Language Resources and Evaluation
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The CL Research system for SemEval-2 Task 10 for linking events and their participants in discourse is an exploration of the use of a specially created FrameNet dictionary that captures all FrameNet information about frames, lexical units, and frame-to-frame relations. This system is embedded in a specially designed interface, the Linguistic Task Analyzer. The implementation of this system was quite minimal at the time of submission, allowing only an initial completion of the role recognition and labeling task, with recall of 0.112, precision of 0.670, and F-score of 0.192. We describe the design of the system and the continuing efforts to determine how much of this task can be performed with the available lexical resources. Changes since the official submission have improved the F-score to 0.266.