Assigning part-of-speech tags, phrase chunk labels and named-entity labels to the words in sentences. Two models are used, namely Logistic Regression and Conditional Random Fields for each of the 3 tasks.
Results:
Tagger | Accuracy | Precision | Recall | F1-Measure |
---|---|---|---|---|
TaggerLR POS | 0.770 | 0.770 | 0.770 | 0.770 |
TaggerLR Chunk | 0.791 | 0.791 | 0.791 | 0.791 |
TaggerLR NER | 0.914 | 0.914 | 0.914 | 0.914 |
TaggerCRF POS | 0.885 | 0.885 | 0.885 | 0.885 |
TaggerCRF Chunk | 0.917 | 0.917 | 0.917 | 0.917 |
TaggerCRF NER | 0.943 | 0.943 | 0.943 | 0.943 |