#12 Parser Training and Evaluation using Textual Entailment

Accuracy

360-418_Cambridge 0.7243 459-505_SCHWA 0.7043 473-568_MARS-3 0.6678 372-404_MDParser 0.6545 372-509_MaltParser 0.6512 473-582_MARS-5 0.6346 166-415_JU_CSE_TASK12-2 0.5781 166-370_JU_CSE_TASK12 0.5482 390-433_Berkeley Parser Based 0.5415 473-566_MARS-1 0.5282 473-569_MARS-4 0.5249 390-431_Brown Parser Based 0.5216 473-567_MARS-2 0.5116 473-583_MARS-6 0.5050 390-432_Brown Reranker Parser Based 0.5017 390-435_Berkeley Parser with substates 0.5017 390-434_Berkeley Parser with Self Training 0.4983 390-437_Combined 0.4850 390-436_Berkeley Parser with Viterbi Decoding 0.4784