- Gregory Werner, Vinodkumar Prabhakaran, Mona T. Diab, Owen Rambow. 2015. Committed Belief Tagging on the Factbank and LU Corpora: A Comparative Study. Abstract: Level of committed belief is a modality in natural language, it expresses a speak-er/writers belief in a proposition. Initial work exploring this phenomenon in the literature both from a linguistic and computational modeling perspective shows that it is a challenging phenomenon to capture, yet of great interest to several downstream NLP applications. In this work, we focus on identifying relevant features to the task of determining the level of committed belief tagging in two corpora specifically annotated for the phenomenon: the LU corpus and the FactBank corpus. We perform a thorough analysis comparing tagging schemes, infrastructure machinery, feature sets, preprocessing schemes and data genres and their impact on performance in both corpora. Our best results are an F1 score of 75.7 on the FactBank corpus and 72.9 on the smaller LU corpus.
