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Additionally, we performed an error analysis on the results achieved on the development set using a CRF model trained on the training set, in order to collect false positive and false negative annotations.
Using a CRF model trained on Set 2, performance is tested on the manually annotated test set, Set 1, for four way classification into the rhetorical roles.
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To detect trigger words, we use a CRF model (Lafferty et al., 2001).
We first use a CRFs model to identify elemental parts with semantic information.
A hybrid approach to NER on tweets was presented in [31] in which a KNN-based classifier and a CRF model were used.
In CHEMDNER multiple teams applied stacking by using the output of ChemSpot as a feature, with a CRF model comprising the final extractor [23 25].
In [55], a CRF model without being focused on Gazetteers was used for NER for Arabic social media.
Fixing the number of conformation states in a CRF model, we search for the appropriate regularization factors and window size using a grid search strategy.
For each cost ∈ {2−3, 2−2, 2−1, 20, 2, 22, 23}, a CRF model is induced 10 times, each time leaving out one of the sub-corpuses that is then used to calculate the balanced F-measure.
A combination of a CRF model and latent semantics to recognize named entities was proposed in [18].
Viterbi algorithm is routinely applied as decoding for the CRFs, since it finds the most probable path of an observation sequence given a CRF model [ 4].
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